The BodyTom 64 system is intended to be used for x-ray computed tomography applications for anatomy that can be imaged in the 85cm aperture. The CT system is intended to be used for both pediatric and adult imaging and as such has preset dose settings based upon weight and age. The CT images can be obtained either with or without contrast. BodyTom 64 system can be used for low dose lung cancer screening. The screening must be performed in compliance with the approved and established protocols as defined by professional medical societies. *Please refer to clinical literature, including the results of the National Lung Screening Trial (N Engl J Med 2011; 365:395-409) and subsequent literature, for further information. The OmniTom Elite computed tomography (CT) system is intended to be used for X-ray computed tomography applications for anatomy that can be imaged in the 40cm aperture, primarily the head and neck. The CT system is intended to be used for both pediatric and adult imaging and as such has preset dose settings based upon weight and age The CT images can be obtained either with or without contrast.
Device Story
BodyTom 64 and OmniTom Elite are mobile CT systems; utilize rotating disk with solid-state x-ray generator, Gd2O2S detector array, and collimator; feature translating gantry for point-of-care imaging. Systems incorporate Samsung Weighted Filtered Back Projection (S-FBP) reconstruction algorithm. S-FBP applies projection-domain weighting to helical data to correct trajectory geometry and manage data redundancy. Output consists of reconstructed CT images with reduced noise, improved contrast-to-noise ratio, and suppressed helical/cone-beam artifacts. Operated by clinicians in clinical settings; output used for diagnostic assessment and low-dose lung cancer screening. Improved image quality facilitates clinical decision-making by providing clearer anatomical visualization.
Clinical Evidence
Clinical evaluation involved review of images by independent board-certified radiologists. Study confirmed diagnostic quality and effectiveness of S-FBP algorithm in clinical scanning. Results demonstrated reduction in image noise, improved texture smoothness, and mitigation of helical/geometric artifacts (e.g., windmill, Z-axis streaking). Clinical scans were equivalent to those produced by predicate devices.
Technological Characteristics
Mobile CT systems; 85cm (BodyTom 64) or 40cm (OmniTom Elite) aperture; Gd2O2S detector array; brushless DC servo drive; battery-powered. Software: S-FBP reconstruction algorithm (weighted FDK-based). Connectivity: DICOM. Standards: IEC 60601-1, IEC 60601-1-2, IEC 60601-2-44, IEC 62304, ISO 14971, NEMA XR 25/28/29.
Indications for Use
Indicated for pediatric and adult X-ray computed tomography imaging of anatomy within 85cm (BodyTom 64) or 40cm (OmniTom Elite) apertures, including low-dose lung cancer screening for BodyTom 64. Images may be acquired with or without contrast.
Regulatory Classification
Identification
A computed tomography x-ray system is a diagnostic x-ray system intended to produce cross-sectional images of the body by computer reconstruction of x-ray transmission data from the same axial plane taken at different angles. This generic type of device may include signal analysis and display equipment, patient and equipment supports, component parts, and accessories.
{0}
FDA U.S. FOOD & DRUG ADMINISTRATION
September 22, 2026
Samsung HME America, Inc., dba NeuroLogica Corp.
% Ninad Gujar
Vice President
14 Electronics Ave.
DANVERS, MA 01923
Re: K261125
Trade/Device Name: BodyTom 64 (NL4100); OmniTom Elite (NL5000)
Regulation Number: 21 CFR 892.1750
Regulation Name: Computed tomography x-ray system
Regulatory Class: Class II
Product Code: JAK
Dated: April 5, 2026
Received: April 6, 2026
Dear Ninad Gujar:
We have reviewed your section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (the Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. Although this letter refers to your product as a device, please be aware that some cleared products may instead be combination products. The 510(k) Premarket Notification Database available at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm identifies combination product submissions. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
U.S. Food & Drug Administration
10903 New Hampshire Avenue
Silver Spring, MD 20993
www.fda.gov
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K261125 - Ninad Gujar
Page 2
Additional information about changes that may require a new premarket notification are provided in the FDA guidance documents entitled "Deciding When to Submit a 510(k) for a Change to an Existing Device" (https://www.fda.gov/media/99812/download) and "Deciding When to Submit a 510(k) for a Software Change to an Existing Device" (https://www.fda.gov/media/99785/download).
Your device is also subject to, among other requirements, the Quality Management System Regulation (QMSR) (21 CFR Part 820), which includes, but is not limited to, ISO 13485 clause 7.3 (Design controls), ISO 13485 clause 8.3 (Nonconforming product), ISO 13485 clause 8.5.2 (Corrective action), and ISO 13485 clause 8.5.3 (Preventative action). Please note that regardless of whether a change requires premarket review, the QMSR requires device manufacturers to review and approve changes to device design and production (ISO 13485 clause 7.3 and ISO 13485 clause 7.5) and document changes and approvals in the Medical Device File (ISO 13485 clause 4.2.3).
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting (reporting of medical device-related adverse events) (21 CFR Part 803) for devices or postmarketing safety reporting (21 CFR Part 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reporting-combination-products); good manufacturing practice requirements as set forth in the Quality Management System Regulation (QMSR) (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR Part 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR Parts 1000-1050.
All medical devices, including Class I and unclassified devices and combination product device constituent parts are required to be in compliance with the final Unique Device Identification System rule ("UDI Rule"). The UDI Rule requires, among other things, that a device bear a unique device identifier (UDI) on its label and package (21 CFR 801.20(a)) unless an exception or alternative applies (21 CFR 801.20(b)) and that the dates on the device label be formatted in accordance with 21 CFR 801.18. The UDI Rule (21 CFR 830.300(a) and 830.320(b)) also requires that certain information be submitted to the Global Unique Device Identification Database (GUDID) (21 CFR Part 830 Subpart E). For additional information on these requirements, please see the UDI System webpage at https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-assistance/unique-device-identification-system-udi-system.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to https://www.fda.gov/medical-devices/medical-device-safety/medical-device-reporting-mdr-how-report-medical-device-problems.
For comprehensive regulatory information about medical devices and radiation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuing-education/cdrh-learn). Additionally, you may contact the Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See the DICE website (https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-
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K261125 - Ninad Gujar
Page 3
assistance/contact-us-division-industry-and-consumer-education-dice) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely,
Lu Jiang, Ph.D.
Assistant Director
Diagnostic X-Ray Systems Team
DHT8B: Division of Radiological Imaging
Devices and Electronic Products
OHT8: Office of Radiological Health
Office of Product Evaluation and Quality
Center for Devices and Radiological Health
Enclosure
{3}
DEPARTMENT OF HEALTH AND HUMAN SERVICES
Food and Drug Administration
# **Indications for Use**
Form Approved: OMB No. 0910-0120
Expiration Date: 06/30/2023
See PRA Statement below.
510(k) Number (if known)
K261125
Device Name
BodyTom 64 (NL4100); OmniTom Elite (NL5000)
Indications for Use (Describe)
The BodyTom 64 system is intended to be used for x-ray computed tomography applications for anatomy that can be imaged in the 85cm aperture. The CT system is intended to be used for both pediatric and adult imaging and as such has preset dose settings based upon weight and age. The CT images can be obtained either with or without contrast. BodyTom 64 system can be used for low dose lung cancer screening. The screening must be performed in compliance with the approved and established protocols as defined by professional medical societies.
*Please refer to clinical literature, including the results of the National Lung Screening Trial (N Engl J Med 2011; 365:395-409) and subsequent literature, for further information.
The OmniTom Elite computed tomography (CT) system is intended to be used for X-ray computed tomography applications for anatomy that can be imaged in the 40cm aperture, primarily the head and neck.
The CT system is intended to be used for both pediatric and adult imaging and as such has preset dose settings based upon weight and age The CT images can be obtained either with or without contrast.
Type of Use (Select one or both, as applicable)
☑ Prescription Use (Part 21 CFR 801 Subpart D)
☐ Over-The-Counter Use (21 CFR 801 Subpart C)
**CONTINUE ON A SEPARATE PAGE IF NEEDED.**
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**\*DO NOT SEND YOUR COMPLETED FORM TO THE PRA STAFF EMAIL ADDRESS BELOW.\***
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FORM FDA 3881 (6/20)
Page 1 of 1
PSC Publishing Services (301) 443-6740 EF
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NeuroLogica
A SAMSUNG COMPANY
K261125
# 510(k) Summary
In accordance with 21 CFR § 807.92, the 510(k) summary includes information on safety and effectiveness.
Date Prepared: March 31, 2026
Submitter
Samsung HME America, Inc., dba NeuroLogica Corp.
14 Electronics Avenue, Danvers, MA 01923
Establishment Registration
3004938766
Manufacturing Site
Samsung HME America, Inc., dba NeuroLogica Corp.
14 Electronics Avenue, Danvers, MA 01923
Official Correspondent & Contact Person
Dr. Ninad Gujar
Vice President, Regulatory, Quality and Compliance
Telephone: 978-564-8632
E-mail: ngujar@samsunghme.com
Device
Trade Name (Device Model): BodyTom 64 (NL4100); OmniTom Elite (NL5000)
Classification Name: Computed Tomography X-ray System
Product Code: JAK
Device Classification: Class II (per 21 CFR § 892.1750)
Predicate Device
Trade Name: BodyTom 64 (K242811)
Classification Name: Computed Tomography X-ray System
Product Code: JAK
Device Classification: Class II (per 21 CFR § 892.1750)
Samsung HME America, Inc.
Page 1 of 11
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# **Reference Device**
| Trade Name: | OmniTom Elite (K233767) |
| --- | --- |
| Classification Name: | Computed Tomography X-ray System |
| Product Code: | JAK |
| Device Classification: | Class II (per 21 CFR § 892.1750) |
# **Device Description**
This submission is for the Samsung Weighted Filtered Back Projection (S-FBP) algorithm. This applies to both BodyTom 64 and OmniTom Elite computed tomography (CT) systems. BodyTom 64 has 85 cm bore, and 60 cm field of view while the OmniTom Elite is a 16 row, 40 cm bore, and 30 cm field of view. S-FBP algorithm is identical for OmniTom Elite and BodyTom 64 and applies to both products.
Both CT systems are similar in terms of the high resolution scanning with a lightweight translating gantry consists of a rotating disk with a solid-state x-ray generator, Gd2O2S detector array, collimator, control computer, communications link, power slip-ring, data acquisition system, reconstruction computer, power system, brushless DC servo drive system (disk rotation) and an internal drive system (translation). The power system consists of batteries which provide system power while unplugged from the charging outlet. The system has the necessary safety features such as the emergency stop switch, x-ray indicators, interlocks, patient alignment laser and 110% x-ray timer. The gantry has retractable rotating caster wheels and electrical drive system so the system can be moved easily to different locations.
The updated S-FBP reconstruction algorithm implements a weighted filtered back projection method, which is an established extension of the Feldkamp-Davis-Kress (FDK) reconstruction algorithm. Both methods belong to the same class of approximate cone-beam reconstruction techniques and share the same fundamental reconstruction framework. The S-FBP algorithm applies additional projection-domain weighting functions to improve reconstruction performance for helical acquisition geometry. The underlying reconstruction framework (filtered back projection with 1D filtering and back projection) remains unchanged.
The CT devices with S-FBP are effective at reducing artifacts, particularly the Z-axis artifact that appears as a spiral pattern in helical scans and the cone-beam artifacts that plague FDK. By using this weighting, S-FBP significantly improved image quality and reduces noise, especially for large cone angles. The weighting in S-FBP made it more robust to variations in pitch. By correcting data inconsistencies, S-FBP demonstrated a statistically significant reduction in image noise. This improved signal-to-noise ratio resulted in better image contrast.
Samsung HME America, Inc.
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## Intended Use / Indications for Use
The BodyTom 64 system is intended to be used for x-ray computed tomography applications for anatomy that can be imaged in the 85cm aperture. The CT system is intended to be used for both pediatric and adult imaging and as such has preset dose settings based upon weight and age. The CT images can be obtained either with or without contrast.
BodyTom 64 system can be used for low dose lung cancer screening. The screening must be performed in compliance with the approved and established protocols as defined by professional medical societies.
*Please refer to clinical literature, including the results of the National Lung Screening Trial (N Engl J Med 2011; 365:395-409) and subsequent literature, for further information.
The OmniTom Elite computed tomography (CT) system is intended to be used for x-ray computed tomography applications for anatomy that can be imaged in the 40 cm aperture, primarily head and neck. The CT system is intended to be used for both pediatric and adult imaging and as such has preset dose settings based upon weight and age. The CT images can be obtained either with or without contrast.
## Comparison of Technological Characteristics with the Predicate Device
The BodyTom 64 and OmniTom Elite, for its intended use, is of comparable type in design, material, functionality, and technology and is substantially equivalent to the cleared predicate device respectively – BodyTom 64 (K242811) and OmniTom Elite (K233767).
We modified only the software for the cleared BodyTom 64 (K242811) and OmniTom Elite (K233767) within our design controls to include technology improvements, specifically the S-FBP reconstruction algorithm. There are no hardware changes. There is no change in the indications of use for either or the devices and the algorithm change applies to both.
The indications for use between the subject device and the respective predicate devices is identical. The subject device still contains the same technology and basic functionality as the predicate device, and therefore, safety and efficacy are not of a concern.
| BodyTom 64 (Subject Device with S-FBP algorithm) | BodyTom 64 (Predicate – K242811 with FDK algorithm) |
| --- | --- |
| The BodyTom 64 system is intended to be used for x-ray computed tomography applications for anatomy that can be imaged | The BodyTom 64 system is intended to be used for x-ray computed tomography applications for anatomy that can be imaged |
Samsung HME America, Inc.
Page 3 of 11
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| in the 85cm aperture. The CT system is intended to be used for both pediatric and adult imaging and as such has preset dose settings based upon weight and age. The CT images can be obtained either with or without contrast. | in the 85cm aperture. The CT system is intended to be used for both pediatric and adult imaging and as such has preset dose settings based upon weight and age. The CT images can be obtained either with or without contrast. |
| --- | --- |
| The BodyTom 64 system can be used for low dose lung cancer screening. The screening must be performed in compliance with the approved and established protocols as defined by professional medical societies. | The BodyTom 64 system can be used for low dose lung cancer screening. The screening must be performed in compliance with the approved and established protocols as defined by professional medical societies. |
| **OmniTom Elite (Subject Device with S-FBP algorithm)** | **OmniTom Elite (Predicate – K233767 with FDK algorithm)** |
| --- | --- |
| The OmniTom Elite computed tomography (CT) system is intended to be used for x-ray computed tomography applications for anatomy that can be imaged in the 40 cm aperture, primarily head and neck. The CT system is intended to be used for both pediatric and adult imaging and as such has preset dose settings based upon weight and age. The CT images can be obtained either with or without contrast. | The OmniTom Elite computed tomography (CT) system is intended to be used for x-ray computed tomography applications for anatomy that can be imaged in the 40 cm aperture, primarily head and neck. The CT system is intended to be used for both pediatric and adult imaging and as such has preset dose settings based upon weight and age. The CT images can be obtained either with or without contrast. |
## Similarities
- Design: The BodyTom 64 and OmniTom Elite are identical in design characteristics to its previous version and shares all of the control system designs and features of the cleared predicate device.
- Components: The BodyTom 64 and OmniTom Elite uses the same components as the predicate device such as x-ray generator, collimator, slip ring and power system.
## Differences
- Only the updated imaging reconstruction algorithm is different between the subject device (BodyTom 64 with S-FBP) and its previously cleared version, predicate device (K242811) and (OmniTom Elite with S-FBP) and its previously cleared version, predicate device (K233767).
Samsung HME America, Inc.
Page 4 of 11
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S-FBP remains within the class of filtered backprojection-based reconstruction method however differs from standard FDK in that it incorporates an additional weighting function applied to projection data before reconstruction. This weighting function provides:
(1) correction for helical scan trajectory geometry, and (2) management of data redundancy inherent in helical acquisition. These modifications result in improved image quality, including reduced cone-beam artifacts, suppression of Z-axis spiral artifacts and improved signal-to-noise ratio – particularly for wide cone-angle and varied-pitch helical acquisitions.
These differences do not raise new questions of safety and effectiveness. The S-FBP algorithm shares the same intended use and fundamental technological characteristics as cleared predicate FDK-class reconstruction algorithms. The performance improvements achieved are quantitative in nature and consistent with incremental developments within the FDK algorithm family.
The internal verification and validation activities and external testing of product safety and EMC / EMI was completed successfully. This change in algorithm does not alter dose output, acquisition parameters or system hardware. The S-FBP update does not have new issues of safety or effectiveness based on all testing performed. Below a summary has been provided for the testing conducted.
# General Safety and Effectiveness Concerns:
All components of the subject BodyTom 64 and OmniTom Elite CT systems that are subject to Federal Diagnostic Equipment Performance Standard and applicable regulations of 21 CFR §1020.30 and §1020.33 are certified to meet those requirements. To minimize electrical, mechanical and radiation hazards, NeuroLogica adheres to recognized and established industry practices.
BodyTom 64 and OmniTom Elite CT systems are designed and manufactured to comply with the FDA Code of Federal Regulations Title 21 Part 820: Quality Management System Regulation (QMSR), incorporating ISO 13485:2016 by reference. The device is in conformance with all applicable parts of the following FDA recognized consensus standards:
| FDA Recognition Number | Standard | Description | Version |
| --- | --- | --- | --- |
| 19-46 | AAMI / ANSI ES 60601-1 | Medical Electrical Equipment -- Part 1: General Requirements For Basic Safety And Essential Performance | 2012 |
Samsung HME America, Inc.
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| FDA Recognition Number | Standard | Description | Version |
| --- | --- | --- | --- |
| 19-36 | IEC 60601-1-2 | Medical electrical equipment - Part 1-2: General Requirements for Basic Safety and Essential Performance - Collateral Standard: Electromagnetic Compatibility. Requirements and Tests | 2014 |
| 12-336 | IEC 60601-1-3 | Medical Electrical Equipment - Part 1-3: General Requirements For Basic Safety And Essential Performance - Collateral Standard: Radiation Protection In Diagnostic X-Ray Equipment | 2013 |
| 5-132 | IEC 60601-1-6 | Medical Electrical Equipment - Part 1-6: General Requirements For Basic Safety And Essential Performance - Collateral Standard: Usability | 2013 |
| 12-302 | IEC 60601-2-44 | Medical Electrical Equipment- Part 2-44: Particular Requirements for Basic Safety and Essential Performance of X-Ray Equipment for Computed Tomography | 2016 |
| 12-273 | IEC 60825-1 | Safety Of Laser Products - Part 1: Equipment Classification, And Requirements | 2007 |
| 5-125 | ISO 14971 | Medical Devices - Application Of Risk Management To Medical Devices | 2019 |
| 13-79 | IEC 62304 | Medical Device Software - Software Life Cycle Processes | 2015 |
Samsung HME America, Inc.
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| FDA Recognition Number | Standard | Description | Version |
| --- | --- | --- | --- |
| 5-134 | ISO 15223-1 | Medical devices - Symbols to be used with information to be supplied by the manufacturer - Part 1: General requirements | 2016 |
| 2-258 | ISO 10993-1 | Biological evaluation of medical devices - Part 1: Evaluation and testing within a risk management process | 2018 |
| 2-245 | ISO 10993-5 | Biological evaluation of medical devices - Part 5: Tests for in vitro cytotoxicity | 2009 |
| 2-174 | 10993-10 | Biological evaluation of medical devices - Part 10: Tests for irritation and skin sensitization | 2010 |
| 12-325 | NEMA XR 25 | Computed Tomography Dose Check | 2019 |
| NR | NEMA XR 26 | Access Controls for Computer Tomography: Identification, Interlocks, and Logs | 2012 |
| 12-330 | NEMA XR 28 | Supplemental Requirements for User Information and System Function Related to Dose in CT | 2018 |
Samsung HME America, Inc.
Page 7 of 11
{11}
| FDA Recognition Number | Standard | Description | Version |
| --- | --- | --- | --- |
| NR | NEMA XR 29 | Standard Attributes on Computed Tomography (CT) Equipment Related to Dose Optimization and Management | 2013 |
| 12-352 | NEMA PS 3.1 - 3.20 | Digital Imaging and Communications in Medicine (DICOM) Set | 2023 |
| 21 CFR subchapter J § 1020.30 | FDA | Performance Standards for Ionizing Radiation Emitting Products: Diagnostic x-ray systems and their major components | 2024 |
| 21 CFR subchapter J § 1020.33 | FDA | Performance Standards for Ionizing Radiation Emitting Products: Computed tomography (CT) equipment | 2024 |
The S-FBP algorithm was designed in accordance with the following FDA Guidance documents:
- ▪ *Content of Premarket Submissions for Device Software Functions (June 2023)*
- ▪ *Recommendations for the Use of Clinical Data in Premarket Notification [510(k)] Submissions (Sept 2023)*
- ▪ *Electronic Submission Template (eSTAR) (Oct 2023)*
- ▪ *Off-The-Shelf Software Use in Medical Devices (Aug 2023)*
- ▪ *Guidance for Medical X-ray Imaging Devices Conformance with IEC Standards (May 2019)*
- ▪ *Pediatric X-ray Premarket Notifications (Nov 2017)*
- ▪ *Cybersecurity in Medical Devices: Quality Management System Considerations and Content of Premarket Submissions (Feb 2026)*
- ▪ *Informed Consent: Guidance for IRBs, Clinical Investigators, and Sponsors (Aug 2023)*
- ▪ *Medical Device Accessories – Describing Accessories and Classification Pathways (Dec 2017)*
- ▪ *Computer Software Assurance for Production and Quality System Software (Sept 2022)*
Samsung HME America, Inc.
Page 8 of 11
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- Guidance for Postmarket Management of Cybersecurity in Medical Devices, December 2016
- Guidance for Deciding When to Submit a 510(k) for a Change to an Existing Device, (Oct 2017)
- Deciding When to Submit a 510(k) for a Software Change to an Existing Device (Oct 2017)
- Unique Device Identification System: Form and Content of the Unique Device Identifier (UDI) (July 2021)
- Applying Human Factors and Usability Engineering to Medical Devices (Feb 2016)
In addition to conformance to the above harmonized standards, BodyTom 64 quality assurance activities include the following:
- Risk analysis and mitigation
- Software verification and validation testing
- System verification and validation testing
- Image quality tests
- Testing at unit level
**Performance Data:**
The risk analysis, verification and validation activities and testing of product safety and EMC / EMI was completed successfully. The differences noted raise no new issues based on all testing performed and establish that specifications for the device have been met. Below a summary has been provided for the testing conducted.
Bench testing
The software contained in the proposed device has been developed & tested in accordance with IEC 62304, and the FDA guidance for Content of Premarket Submissions for Device Software Functions. Software is critical to the operation of the BodyTom 64 and OmniTom Elite CT systems and a malfunction or design flaw in the software could result in delay in delivery of appropriate medical care. As such, the risk management analysis identified potential hazards which were controlled and mitigated during development of BodyTom 64 and OmniTom Elite CT systems. The verification/validation testing ensured substantial equivalence of BodyTom 64 and OmniTom Elite CT systems.
Design verification and design validation testing was performed to confirm all design and user requirements were met. The proposed S-FBP algorithm for BodyTom 64 and OmniTom Elite CT systems was shown to meet all requirements.
The BodyTom 64 and OmniTom Elite CT systems underwent Electrical Safety and Electromagnetic Compatibility testing and proved to be in compliance with IEC 60601-1, IEC 60601-1-2, and IEC 60601-2-44.
Samsung HME America, Inc.
Page 9 of 11
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### Image quality evaluation
Image quality metrics such as noise, slice thickness, low and high contrast resolution, radiation metrics, and modulation transfer function were measured utilizing phantom image quality tests in accordance with the equipment performance standards for diagnostic x-ray systems administered by the FDA. Imaging metrics successfully demonstrated that the software algorithm change in the proposed device has comparable image quality with its previous version, predicate device and meets all the image quality criteria that are used for testing.
### Phantom based evaluation
Phantom based study was conducted using an American College of Radiology phantom, where the subject S-FBP helical reconstruction algorithm performed better than the predicate FDK helical reconstruction for all image related purposes especially in uniformity, noise, and low contrast resolution.
Based on this internal testing, under controlled phantom condition representative of clinical operating ranges, for BodyTom 64 with S-FBP, the Noise was improved by approximately 29% and the Contrast-to-Noise Ratio (CNR) was improved by approximately 35% when transitioning from the FDK to the S-FBP reconstruction method for BodyTom 64
For OmniTom Elite – similar to BodyTom 64, the inclusion of S-FBP is a software update, and the CT system remains the same from a hardware standpoint. All testing was repeated for OmniTom Elite with similar results. For image quality metrics, OmniTom Elite with S-FBP, the Noise was improved by approximately 32% and the CNR was improved by approximately 55% when transitioning from the FDK to the S-FBP reconstruction method.
### Clinical evaluation
Clinical study was conducted for evaluation of the subject device with S-FBP algorithm. All study protocols were performed in accordance with the relevant regulations and the guidelines. The images were reviewed by independent board-certified practicing radiologists and confirmed diagnostic quality of the images demonstrating the effectiveness of the subject device for clinical scanning. The S-FBP algorithm was able:
- reduce image noise and improve texture smoothness
- eliminate helical artifacts, including rotating shading patterns and Z-axis horizontal streaking in MPR views
- mitigate complex geometric artifacts, such as the "windmill" artifacts in cranial imaging and motion-induced dislocations in the thorax
The clinical scans indicate the ability of the S-FBP algorithm to generate diagnostically acceptable images, which are equivalent to those produced by predicate device. The subject device clinical
Samsung HME America, Inc.
Page 10 of 11
{14}
benefits outweigh the risks and as such the device should be considered safe for its intended use and performs like other CT devices currently on the market. The clinical evaluation demonstrates performance of the CT device using the S-FBP algorithm, when used under the conditions and for the purposes intended.
## Conclusion
Both the proposed device - BodyTom 64 and OmniTom Elite CT systems and the respective previously cleared version, predicate devices - BodyTom 64 (K242811) and OmniTom Elite (K233767) are CT systems that are used for pediatric and adult imaging (similar intended use). The overall design of the CT system and basic functionality that it provides to the end user are the same. The differences in technological characteristics do not raise different questions of safety and effectiveness.
The S-FBP reconstruction algorithm represents a well-characterized, incremental improvement to a cleared algorithm technology, differing only in weighting methodology while retaining the same reconstruction principles, computational approach and intended clinical use.
The results of the performance testing and conformance to the harmonized standards demonstrate that the subject device operates in accordance with specifications and meets user needs and intended use. The CT system performs as well in its intended use as similar devices currently on the market.
Samsung HME America, Inc.
Page 11 of 11
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Learn the FDA Browser
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the ? button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only Software as a Medical Device, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (Software as a Medical Device), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.