XmaruView V1 software is to make the processing and administration of medical X-ray images as efficient as possible. Functions to be carried out using XmaruView V1 is, for example, but not limited to, adjustment of window leveling, rotation, zoom, and measurements. XmaruView V1 software can control X-ray generator acquisition settings. XmaruView V1 is not approved for the acquisition of mammographic image data and it cannot be used to interpret mammographic image date either. XmaruView V1 is meant to be used by qualified medical personnel only. All users must be qualified to create and diagnose radiological image data. XmaruView V1 is complying with DICOM standards to assure optimum communications between network systems.
Device Story
XmaruView V1 is a radiographic image capture and processing software system. It integrates control of flat-panel detectors and X-ray generators to acquire, process, and manage medical X-ray images. Used in clinical environments by qualified medical personnel to streamline workflow. Features include window leveling, rotation, zoom, and measurement tools. The system includes a database for image/data management and supports DICOM output for integration with PACS. It does not perform mammographic imaging. Healthcare providers use the output for diagnostic purposes; the software facilitates efficient image handling and communication across network systems.
Clinical Evidence
Bench testing only. Compliance with NEMA PS 3.1-3.18 (DICOM), IEC 62304 (software life-cycle), and ISO 14971 (risk management) standards.
Technological Characteristics
Radiological image processing software. Connectivity: DICOM compliant. Software life-cycle: IEC 62304 compliant. Risk management: ISO 14971 compliant. Operates on standard PC hardware (processor/RAM requirements).
Indications for Use
Indicated for processing and administration of medical X-ray images by qualified medical personnel. Not indicated for mammographic image acquisition or interpretation.
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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# 510(k) Summary
This summary of 510(k) safety and effectiveness information is being submitted in accordance with requirements of 21 CFR Part 807.92.
## Date
July 21, 2010
### Manufacturer
Vatech Co., Ltd.
473-4 Bora-Dong, Giheung-Gu, Yonggin-si, Gyeonggi-do, 446-904, Korea Republic
Tel: +82-31-679-2266 Fax: +82-31-679-2161 Contact person: Ms. Yang-kyong Kim / Compliance Officer Email: anis.kim@vatech.co.kr
## United States Sales Representative (U.S. Designated agent)
VATECH America. 333 Meadowlands Parkway, #303, Secaucus, NJ, 07094, USA
Tel: +832-623-2099 Fax: +713-464-8880 Contact person: Mr. Dave Kim
## Trade/Proprietary Name:
XmaruView V1
## Common Name:
Radiological Image Processing System
## Classification Name:
System, image processing, radiological (21CFR 892.2050, Product code LLZ, Class2)
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#### Description:
XmaruView V1 is a radiographic image capture program in charge of variety of image related works, including photographing Digital Radiography, acquiring and processing the images, and the image management.
XmaruView V1 provides integrated controls the flat-panel detector and the Xray generator of a radiographic system to perform image acquisitions and image processing. Its own database storage capability enables a user the convenient management of patient images and data. In addition, it supports DICOM output for a seamless integration with the operating environment where PACS is installed,
XmaruView V1 has been developed to meet the requirements of hospitals to provide a seamless work flow in the heavy work load environment and thus is equipped with a number of relevant convenience functions.
#### Indication for use:
XmaruView VI software is to make the processing and administration of medical X-ray images as efficient as possible. Functions to be carried out using XmaruView V1 is, for example, but not limited to, adjustment of window leveling, rotation, zoom, and measurements. XmaruView VI software can control X-ray generator acquisition settings. XmaruView V1 is not approved for the acquisition of mammographic image data and it cannot be used to interpret mammographic image date either. XmaruView VI is meant to be used by qualified medical personnel only. All users must be qualified to create and diagnose radiological image data. XmaruView V1 is complying with DICOM standards to assure optimum communications between network systems.
#### Predicate Device:
| Manufacturer | : Oehm und Rehbein GmbH. |
|---------------|------------------------------------------|
| Device | : dicomPACS® DX-R 1.6 |
| 510(k) Number | : K091364 (Decision Date - DEC 11, 2009) |
## Substantial Equivalence:
The XmaruView V1 described in this 510(k) has the same intended use and similar technical
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characteristics as the dicomPACS® DX-R 1.6 of Oehm und Rehbein GmbH.
The model dicomPACS® DX-R is the primary predicate device. The subject device and predicate device are substantially equivalent, having the same/similar indications for use and functionalities like operation software, resolution, X-ray generator control, image processing, windowing, zoom, rotation, DICOM worklist, DICOM store and DICOM print. The differences are cosmetic, arrangement and components use only. Both subject device and dicomPACS® DX-R are categorized in product code LLZ; equivalence between these models is evident,
Differences between the subject device and predicate device include processor, RAM requirement, networking and image format size. These differences do not raise any new questions of safety or effectiveness.
## Safety and Performance Data:
- NEMA PS 3.1-3.18 Digital Imaging and Communications in Medicine (DICOM) set (2008)
- IEC 62304 Medical device software – Software life-cycle processes : 2006
- ISO 14971 Medical Devices – Application of risk management to medical device : 2007
### Conclusion:
None of the modifications alter the Indications for Use in a significant way, nor the fundamental scientific technology, and do not introduce a fundamentally new scientific technology. Therefore, it is our opinion that the XmaruView V1 described in this submission is substantially equivalent to the predicate device.
END
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Image /page/3/Picture/0 description: The image shows the seal of the Department of Health & Human Services USA. The seal features a stylized eagle with three tail feathers, representing the department's commitment to health, human services, and well-being. The words "DEPARTMENT OF HEALTH & HUMAN SERVICES USA" are arranged in a circular pattern around the eagle.
Public Health Service
Food and Drug Administration 10903 New Hampshire Avenue Document Control Room - WO66-G609 Silver Spring, MD 20993-0002
VATECH Co., Ltd. % Mr. Dave Kim Medical Device Regulatory Consultant VATECH America 333 Medowlands Parkway #303 SECAUCUS NJ 07094
AUG 1 0 2011
Re: K102078
Trade/Device Name: Radiological Image Processing System/XmaruView V1 Regulation Number: 21 CFR 892.2050 Regulation Name: Picture archiving and communications system Regulatory Class: II Product Code: LLZ Dated: May 9. 2011 Received: May 17, 2011
Dear Mr. Kim:
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 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 will allow you to begin marketing your device as described in your Section 510(k) premarket notification. The FDA finding of substantial equivalence of your device to a legally marketed predicate device results 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 Biometries/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.
Mary Pastel
Mary S. Pastel, Sc.D. 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): K102078
Device Name: Radiological Image Processing System /XmaruView V1
Indications for Use:
XmaruView V1 software is to make the processing and administration of medical X-ray images as efficient as possible. Functions to be carried out using XmaruView V1 is, for example, but not limited to, adjustment of window leveling, rotation, zoom, and measurements. XmaruView V1 software can control X-ray generator acquisition settings. XmaruView V1 is not approved for the acquisition of mammographic image data and it cannot be used to interpret mammographic image date either. XmaruView V1 is meant to be used by qualified medical personnel only. All users must be qualified to create and diagnose radiological image data. XmaruView V1 is complying with DICOM standards to assure optimum communications between network systems.
Prescription Use (Part 21 CFR 801 Subpart D)
Over-The-Counter Use (Part 21 CFR 807 Subpart C)
(PLEASE DO NOT WRITE BELOW THIS LINE-CONTINUE ON ANOTHER PAGE IF NEEDED)
AND/OR
Concurrence of CDRH, Office of Device Evaluation(ODE)
Mary Patel
Page 1 of 1
Office of In Viti
510K K102628
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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 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.