K040305 · Vital Images, Inc. · LLZ · Feb 24, 2004 · Radiology
Device Facts
Record ID
K040305
Device Name
VITREA2 VERSION 3.5
Applicant
Vital Images, Inc.
Product Code
LLZ · Radiology
Decision Date
Feb 24, 2004
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 892.2050
Device Class
Class 2
Attributes
Software as a Medical Device, 3rd-Party Reviewed
Indications for Use
Vitrea 2 is a medical diagnostic system that allows the processing, review, analysis, communication and media interchange of multi-dimensional digital images acquired from a variety of imaging devices. In addition, the Vitrea 2 system has the following specific indication: Fusion7D is an option within the Vitrea 2 system and is intended to register pairs of anatomical and functional volumetric images (e.g., MRI-SPECT, MRI-PET, CT-SPECT, CT-PET), or pairs of anatomical volumetric images (e.g., MRI-MRI, CT-CT, and MRI-CT) as a means to ease the comparison of image data. The result of the registration operations aims to help the clinician obtain a better understanding of the joint information that would otherwise have to be compared separately. This is useful for a wide range of clinical and therapeutic applications. It is important to note that the clinician retains the ultimate responsibility for making the pertinent diagnosis based on their standard procedures, including visual comparison of the separate unregistered images. Fusion7D is a complement to these standard procedures. Softread is an option within the Vitrea 2 system and is intended to allow the examination and manipulation of a series of 2D images in a variety of modalities, including CT, MR, CR/DR/DX, SC, US, NM, PET, XA, and RF, etc. The option also enables clinicians to compare multiple series' for the same patient, side-by-side, and to switch to Vitrea to further examine the data in a 3D volume.
Device Story
Vitrea 2 is medical diagnostic software for processing, reviewing, and analyzing multi-dimensional digital images; inputs include DICOM-compliant images from various modalities (CT, MR, PET, etc.). System features include Fusion7D for volumetric image registration (anatomical/functional pairs) and Softread for 2D image manipulation and side-by-side series comparison. Clinicians operate the system via a user interface to retrieve images, visualize anatomy/pathology in 2D/3D, annotate, measure, and record findings. Output includes processed views for film/paper printing, web-based reporting, or DICOM export. System aids clinical decision-making by facilitating image comparison and visualization; clinician retains ultimate diagnostic responsibility. Benefits include improved understanding of joint image information and streamlined clinical workflow.
Clinical Evidence
No clinical data. Evidence consists of bench testing, including software design, development, integration testing, verification testing, and Beta validation performed according to written procedures. Risk management plan implemented.
Technological Characteristics
Medical image processing software; DICOM-compliant; supports multi-dimensional visualization, 2D/3D image manipulation, and volumetric registration. Operates on networked hardware. Software-based processing.
Indications for Use
Indicated for clinicians requiring processing, review, and analysis of multi-dimensional digital images (CT, MR, CR/DR/DX, SC, US, NM, PET, XA, RF) for diagnostic purposes. Includes image registration for anatomical/functional volumetric pairs (MRI, SPECT, PET, CT) to aid comparison. No specific age or gender restrictions.
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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FEB 2 4 2004
#### 6.0 510(k) Summary
#### Submitter's Name / Contact Person
Timothy J. Kappers, RAC Manager, Regulatory Affairs Vital Images, Inc. 3300 Fernbrook Lane N, Suite 200 Plymouth, MN 55447
#### General Information
| Trade Name | Vitrea 2, Version 3.5 Medical Image Processing Software |
|------------------------|-------------------------------------------------------------------------------------------------------|
| Common / Usual<br>Name | System, Image Processing, Radiological |
| Classification Name | LLZ, Class II, CFR 21 892.2050 |
| Predicate Devices | Vitrea 2, Version 3.4 (K032748)<br>Vital Images, Inc.<br>Fusion7D (K020546)<br>Mirada Solutions, Ltd. |
#### Device Description
The Vitrea 2 system is a medical diagnostic device that allows the processing, review, analysis, communication and media interchange of multi-dimensional digital images acquired from a variety of imaging devices. Vitrea 2, Version 3.5 is an upgrade to Vitrea 2, Version 3.4 (cleared under K032748).
The Vitrea 2 system provides multi-dimensional visualization of digital images to aid clinicians in their analysis of anatomy and pathology. The Vitrea 2 user interface follows typical clinical workflow patterns to process, review, and analyze digital images, including:
- . Retrieve image data over the network via DICOM
- . Display images that are automatically adapted to exam type via dedicated protocols
- . Select images for closer examination from a gallery of up to six 2D or 3D views
- . Interactively manipulate an image in real-time to visualize anatomy and pathology
- . Annotate, tag, measure, and record selected views
- � Output selected views to standard film or paper printers, or post a report to an Intranet Web server or export views to another DICOM device
- . Retrieve reports that are archived on a Web server
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### Intended Use
Vitrea" 2 is a medical diagnostic system that allows the processing, review, analysis, communication and media interchange of multi-dimensional digital images acquired from a variety of imaging devices. In addition, the Vitrea 2 system has the following specific indication:
Fusion?D™ is an option within the Vitrea 2 system and is intended to register pairs of anatomical and functional volumetric images (e.g., MRI-SPECT, MRI-PET, CT-SPECT, CT-PET), or pairs of anatomical volumetric images (e.g., MRI-MRI, CT-CT, and MRI-CT) as a means to ease the comparison of image data. The result of the registration operations aims to help the clinician obtain a better understanding of the joint information that would otherwise have to be compared separately. This is useful for a wide range of clinical and therapeutic applications. It is important to note that the clinician retains the ultimate responsibility for making the pertinent diagnosis based on their standard procedures, including visual comparison of the separate unregistered images. Fusion7D is a complement to these standard procedures.
Softread, is an option within the Vitrea 2 system and is intended to allow the examination and manipulation of a series of 2D images in a variety of modalities, including CT, MR, CR/DR/DX, SC, US, NM, PET, XA, and RF, etc. The option also enables clinicians to compare multiple series' for the same patient, side-by-side, and to switch to Vitrea to further examine the data in a 3D volume.
#### Predicate Device Comparison
The Vitrea 2, Version 3.5 system and its predicate devices allow for the analysis, communication and media interchange of digital images acquired from a variety of acquisition devices support the DICOM protocol for communication of images with other medical imaging devices.
## Summary of Studies
The software utilized was designed, developed, tested, and validated according to written procedures. These procedures specify individuals within the organization responsible for developing and approving product specifications, coding, testing, validating and maintenance.
The Vitrea 2, Version 3.5 system will successfully complete integration testing/verification testing prior to Beta validation. Software Beta testing/validation will be successfully completed prior to release. In addition, potential hazards have been studied and controlled by a Risk Management Plan.
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# Conclusion
The Vitrea 2, Version 3.5 system has the same intended use as the predicate device and has very similar technological characteristics. Minor technological differences do not raise any new questions regarding safety or effectiveness of the device. Thus, the Vitrea 2, Version 3.5 system is substantially equivalent to the predicate device.
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Image /page/3/Picture/1 description: The image shows the logo for the U.S. Department of Health & Human Services. The logo consists of a circular seal with the text "DEPARTMENT OF HEALTH & HUMAN SERVICES • USA" arranged around the perimeter. Inside the circle is an abstract symbol resembling a stylized caduceus or a bird in flight, composed of three curved lines.
Food and Drug Administration 9200 Corporate Boulevard Rockville MD 20850
FEB 2 4 2004
Vital Images, Inc. % Mr. Mark Job Responsible Third Party Regulatory Technology Services LLC 1394 25th Street NW BUFFALO MN 55313
Re: K040305 Trade/Device Name: Vitrea™ 2 Version 3.5 Medical Image Processing Software Regulation Number: 21 CFR 892.2050 Regulation Name: Picture archiving and communications system Regulatory Class: II Product Code: 90 LLZ Dated: February 4, 2004 Received: February 9, 2004
Dear Mr. Job:
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 either class II (Special Controls) or class III (PMA), it may be subject to such 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.
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); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820); and if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
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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 Part 801), please contact the Office of Compliance at one of the following numbers, based on the regulation number at the top of the letter:
| 8xx. 1xxx | (301) 594-4591 |
|----------------------------------|----------------|
| 876.2xxx, 3xxx, 4xxx, 5xxx | (301) 594-4616 |
| 884.2xxx, 3xxx, 4xxx, 5xxx, 6xxx | (301) 594-4616 |
| 892.2xxx, 3xxx, 4xxx, 5xxx | (301) 594-4654 |
| Other | (301) 594-4692 |
Additionally, for questions on the promotion and advertising of your device, please contact the Office of Compliance at (301) 594-4639. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21CFR Part 807.97) you may obtain. Other general information on your responsibilities under the Act may be obtained from the Division of Small Manufacturers, International and Consumer Assistance at its toll-free number (800) 638-2041 or (301) 443-6597 or at its Internet address http://www.fda.gov/cdrh/dsma/dsmamain.html.
Sincerely yours,
Nancy C. Brogdon
Nancy C. Brogdon Director, Division of Reproductive, Abdominal and Radiological Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
Page 2
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#### INDICATIONS FOR USE STATEMENT
510(k) Number (if known):
Device Name: Vitrea 2, Version 3.5 Medical Image Processing Software
K646205
Indications for Use:
Vitrea 2 is a medical diagnostic system that allows the processing, review, analysis, communication and media interchange of multi-dimensional digital images acquired from a variety of imaging devices. In addition, the Vitrea 2 system has the following specific indication:
Fusion7D" is an option within the Vitrea 2 system and is Intended to register pairs of anatomical and functional volumetric images (e.g., MRI-SPECT, MRI-PET, CT-SPECT, CT-PET), or pairs of anatomical volumetric images (e.g., MRI-MRI, CT-CT, and MRI-CT) as a means to ease the comparison of image data. The result of the registration operations aims to help the clinician obtain a better understanding of the joint information that would otherwise have to be compared separately. This is useful for a wide range of clinical and therapeutic applications. It is important to note that the clinician retains the ultimate responsibility for making the pertinent diagnosis based on their standard procedures, including visual comparison of the separate unregistered Images. Fusion?D is a complement to these standard procedures.
Softread, is an option within the Vitrea 2 system and is intended to allow the examination and manipulation of a series of 2D images in a variety of modalities, including CT, MR, CR/DR/DX, SC, US, NM, PET, XA, and RF, etc. The option also enables clinicians to compare multiple serles' for the same patient, side-by-side, and to switch to Vitroa to further examine the data in a 3D volume.
(PLEASE DO NOT WRITE BELOW THIS LINE-CONTINUE ON ANOTHER PAGE IF NEEDED)
oncurrence of CDRH, Office of Device Evaluation (ODE
Prescription Use
Daniel R. Legere
Reproductive, Abdominal,
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.