K121075 · 3D Imaging Partners, Inc. · LLZ · Jul 26, 2012 · Radiology
Device Facts
Record ID
K121075
Device Name
NERVEVISION SOFTWARE SYSTEMS
Applicant
3D Imaging Partners, Inc.
Product Code
LLZ · Radiology
Decision Date
Jul 26, 2012
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 892.2050
Device Class
Class 2
Attributes
Software as a Medical Device
Indications for Use
The NERVEVISION SOFTWARE SYSTEMS is a stand-alone software application to assist clinicians in segmenting and visualizing nerve anatomy from magnetic resonance images.
Device Story
NERVEVISION SOFTWARE SYSTEMS is a stand-alone software application for PCs; assists clinicians (radiologists, neurologists, surgeons, physicists) in viewing, segmenting, and visualizing nerve anatomy from MR images. Input: standard MR studies (axial, sagittal, coronal). Processing: semi-automated segmentation, volume segmentation, edge enhancement (user-controlled edge snapping), and manual contour editing (drawing, outlining, inflating, deflating, cutting, adding). Output: 2D/3D visualizations, measurements, and saved images in DICOM or BMP formats. Clinician retains ultimate responsibility for diagnosis and patient management; software complements manual viewing techniques. Benefits include efficient nerve anatomy delineation and visualization to support clinical decision-making.
Clinical Evidence
No clinical data. Bench testing performed to validate software requirements and conformance to IEC/ISO 10918-1:1994 and NEMA PS 3.1-3.18 (2009) standards.
Technological Characteristics
Stand-alone software for Windows PCs. Visualizes/analyzes MR images in 2D/3D. Features: DICOM/BMP import/export, semi-automated/volume segmentation, edge enhancement, manual contour editing. Conforms to IEC/ISO 10918-1:1994 and NEMA PS 3.1-3.18 (2009).
Indications for Use
Indicated for clinicians (radiologists, neurologists, medical physicists, surgeons) to assist in segmenting and visualizing nerve anatomy from magnetic resonance (MR) images.
Regulatory Classification
Identification
A medical image management and processing system is a device that provides one or more capabilities relating to the review and digital processing of medical images for the purposes of interpretation by a trained practitioner of disease detection, diagnosis, or patient management. The software components may provide advanced or complex image processing functions for image manipulation, enhancement, or quantification that are intended for use in the interpretation and analysis of medical images. Advanced image manipulation functions may include image segmentation, multimodality image registration, or 3D visualization. Complex quantitative functions may include semi-automated measurements or time-series measurements.
Special Controls
*Classification.* Class II (special controls; voluntary standards—Digital Imaging and Communications in Medicine (DICOM) Std., Joint Photographic Experts Group (JPEG) Std., Society of Motion Picture and Television Engineers (SMPTE) Test Pattern).
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### JUL 2 6 2012
## 510(k) Summary
per 21CFR807.92
CONTACT: Dr. Lionel Lenkinski 3D Imaging Partners Inc. 5 Hazelton Ave. Suite 300 Toronto, Ontario, Canada Phone: (416) 371-2290 Fax: (416) 972-6208 E-mail: info@nervevision.com Web: http://www.nervevision.com
DATE PREPARED: June 14, 2012
### TRADE OR PROPRIETARY NAME: NERVEVISION SOFTWARE SYSTEMS
CLASSIFICATION NAME: System, Image Processing, Radiological
PREDICATE DEVICE: K111311, Segasist Prostate Auto-Contouring Software
DEVICE DESCRIPTION: The NERVEVISION SOFTWARE SYSTEMS is a software application that has been designed and developed to assist clinicians (radiologists, neurologists, medical physicists, and surgeons) in viewing magnetic resonance images. The software is capable of showing the tissue in individual images from standard Magnetic Resonance (MR) studies for axial, sagittal, or coronal views. The segmented analyses and 3D views of the anatomy can also be viewed.
The NERVEVISION SOFTWARE SYSTEMS provides clinicians with tools to efficiently contour or delineate nerve anatomy in volume data. The results can be saved in digital imaging and communications in medicine (DICOM) and bitmap image file (BMP) formats. The clinician has the ability to save the masked, marked images directly or import them to other software. NERVEVISION SOFTWARE SYSTEMS offers features including:
- . Import and export of DICOM images,
- . Saving outlines and contours in DICOM or BMP format,
- . Semi-automated segmentation,
- . Volume segmentation, visualization, and measurement,
- Edge enhancement (contour enhancement by user controlled edge snapping), .
- Standard functionalities for image visualization (adjusting contrast & brightness, . zoom, and panning)
- . Advanced functions of contour editing for manual segmentation (drawing, outlining, inflating, deflating, shifting, cutting and adding to images), and
- . User access to modify the segmentation results at any time.
The clinician retains the ultimate responsibility for making the diagnosis and patient management decisions based on the standard practices, and comparisons to individual
Premarket Notification · 3D Imaging Partners Inc. Page 18 of 67 Additional Information & Revisions for K121075: NERVEVISION SOFTWARE SYSTEMS June 23, 2012
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images. The NERVEVISION SOFTWARE SYSTEMS is a set of software tools to complement manual (individual image) nerve viewing techniques.
The NERVEVISION SOFTWARE SYSTEMS does not create original input images of nerves, nor does it change the final results obtained once approved and saved by the clinical expert. As such, this software is considered to have a moderate level of concern.
INTENDED USE: The NERVEVISION SOFTWARE SYSTEMS is a stand-alone software application to assist clinicians in segmenting and visualizing nerve anatomy from magnetic resonance images. ·
TECHNOLOGICAL CHARACTERISTICS: The NERVEVISION SOFTWARE SYSTEMS is a stand-alone software application to be used on personal computers running Windows® operating systems. The software is used to visualize and analyze Magnetic Resonance (MR) images of nerves. The NERVEVISION SOFTWARE SYSTEMS provides visualization of the nerves in both two-dimensions (2D) and three dimensions (3D).
Such PACS devices are considered to be of moderate level of concern to the FDA.
COMPARISONS TO PREDICATE: We believe the NERVEVISION SOFTWARE SYSTEMS is substantially equivalent to the Segasist Prostate Auto-Contouring Software (K111311), which also is a software package for analyzing anatomy from medical images. Both the NERVEVISION SOFTWARE SYSTEMS and the predicate Segasist Software are image analysis tools for anatomy.
The predicate Segasist software can be used with Computed Tomography (CT) and ultrasound images in addition to Magnetic Resonance (MR) images. The NERVEVISION SOFTWARE SYSTEMS are only suited to MR images.
The predicate Segasist software is designed for prostate gland anatomy and the NERVEVISION SOFTWARE SYSTEMS is designed for use with nerve anatomy.
The predicate Segasist software does not perform segmentation of nerves or 3D reconstructions of anatomy, unlike the NERVEVISION SOFTWARE SYSTEMS.
SUBSTANTIAL EQUIVALENCE TESTING: Bench testing was performed to ensure that the software requirements were achieved and validated. The NERVEVISION SOFTWARE SYSTEMS conform to these FDA recognized standards for medical images:
- IEC/ISO 10918-1:1994 Technical Corrigendum 1:2005 Information technology --. Digital compression and coding, and
- NEMA PS 3.1 3.18 (2009) Digital Imaging and Communications in Medicine . (DICOM) Set.
No clinical tests were performed in the development of the NERVEVISION SOFTWARE SYSTEMS.
3D Imaging Partners Inc. Page 19 of 67 Premarket Notification Additional Information & Revisions for K121075: NERVEVISION SOFTWARE SYSTEMS June 23, 2012
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The NERVEVISION SOFTWARE SYSTEMS was not evaluated for biocompatibility because no part of this software device is used for patient contact.
We believe that the performance data provided herein support the safety and effectiveness of use of NERVEVISION SOFTWARE SYSTEMS in imaging and examining nerve anatomy.
Premarket Notification 3D Imaging Partners Inc. Page 20 of 67 Additional Information & Revisions for K121075: NERVEVISION SOFTWARE SYSTEMS June 23, 2012
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Image /page/3/Picture/0 description: The image shows the logo for the U.S. Department of Health & Human Services. The logo features a stylized eagle with three lines representing its body and wings. The words "DEPARTMENT OF HEALTH & HUMAN SERVICES USA" are arranged in a circular pattern around the eagle.
## DEPARTMENT OF HEALTH & HUMAN SERVICES
Food and Drug Administration 10903 New Hampshire Avenue Document Control Room - WO66-G609 Silver Spring. MD 20993-0002
JUL 26 2012
3D Imaging Partners Inc. % Ms. Carolyn Primus Consultant Primus Consulting 7046 Owl's Nest Terrace BRADENTON FL 34203
Re: K121075
Trade/Device Name: NERVEVISION Software Systems Regulation Number: 21 CFR 892.2050 Regulation Name: Picture archiving and communications system Regulatory Class: II Product Code: LLZ Dated: June 23, 2012 Received: June 28, 2012
#### Dear Ms. Primus:
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 (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. 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.
If your device is classified (see above) into class II (Special Controls), it may be subject to such additional controls. Existing major regulations affecting your device can be found in Title 21, Code of Federal Regulations (CFR), Parts 800 to 895. In addition, FDA may publish further announcements concerning your device in the Federal Register.
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 a 'CFR Part 807); labeling (21 CFR Parts 801 and 809); medical device reporting (reporting of -
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medical device-related adverse events) (21 CFR 803); and good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820). This letter requirences as bet form in the quality as described in your Section 510(k) premarket notification. The FDA finding of substantial equivalence of your device to a legally marketed predication. - The For in a classification for your device and thus, permits your device to proceed to the market.
If you desire specific advice for your device on our labeling regulation (21 CFR Parts 801 and 809), please contact the Office of In Vitro Diagnostic Device Evaluation and Safety at (301) 796-5450. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR Part 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to
http://www.fda.gov/MedicalDevices/Safety/ReportaProblem/default.htm for the CDRH's Office of Surveillance and Biometrics/Division of Postmarket Surveillance.
You may obtain other general information on your responsibilities under the Act from the Division of Small Manufacturers, International and Consumer Assistance at its toll-free number (800) 638-2041 or (301) 796-7100 or at its Internet address http://www.fda.gov/cdrh/industry/support/index.html.
Sincerely Yours,
Janine M. Morris
Acting Director Division of Radiological Devices Office of In Vitro Diagnostic Device Evaluation and Safety Center for Devices and Radiological Health
Enclosure
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# Indications for Use
510(k) Number (if known): K121075
Device Name: NERVEVISION SOFTWARE SYSTEMS
Indications For Use: The NERVEVISION SOFTWARE SYSTEMS is a stand-alone software application to assist clinicians in segmenting and visualizing nerve anatomy from magnetic resonance images.
Prescription Use × (Part 21 CFR 801 Subpart D) AND/OR
Over-The-Counter Use (21 CFR 801 Subpart C)
(PLEASE DO NOT WRITE BELOW THIS LINE-CONTINUE ON ANOTHER PAGE IF NEEDED)
Concurrence of CDRH, Office of Device Evaluation (ODE)
Page 1 of 1
(Division Sign-Off)
Division of Radiological Devices
Office of In Vitro Diagnostic Device Evaluation and Safety
510(k) Premarket Notification
3D Imaging Partners Inc.
Page 16 of 67
Additional Information & Revisions for K121075: NERVEVISION SOFTWARE SYSTEMS
June 23, 2012
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 Tutorial 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-only devices, 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-only devices), 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.