K103782 · Tomtec Imaging Systems GmbH · DQK · Jan 27, 2011 · Cardiovascular
Device Facts
Record ID
K103782
Device Name
4D MV-ASSESSMENT 2.0
Applicant
Tomtec Imaging Systems GmbH
Product Code
DQK · Cardiovascular
Decision Date
Jan 27, 2011
Decision
SESE
Submission Type
Special
Regulation
21 CFR 870.1425
Device Class
Class 2
Attributes
Software as a Medical Device
Indications for Use
4D MV Assessment is intended to retrieve, analyze and store digital ultrasound images for computerized 3-dimensional and 4-dimensional (dynamic 3D) image processing. 4D MV Assessment reads certain digital 3D/4D image file formats for reprocessing to a proprietary 3D/4D image file format for subsequent 3D/4D tomographic reconstruction and rendering. It is intended as a general purpose digital 3D/4D ultrasound image processing tool for cardiology.
Device Story
4D MV-Assessment 2.0 is a clinical software application for high-performance PCs running Windows. It retrieves, reconstructs, renders, and analyzes digitized 3D/4D ultrasound B-mode and Color Doppler images. The software generates models of anatomical structures, including the mitral valve (MV) annulus, leaflets, and closure line. It provides automated quantification of valvular function and morphology for pre- and post-operative assessment. Used by cardiologists and surgeons in clinical settings, the software integrates with TomTec Image-Arena platforms via a Generic CAP Interface for database management, reporting, and statistical quantification. By visualizing complex mitral valve dynamics and anatomy, the device assists clinicians in evaluating valvular pathologies and making informed clinical decisions, potentially improving surgical planning and patient outcomes.
Clinical Evidence
No formal clinical trial data provided. The device's product concept was clinically accepted, and performance was validated through internal software verification and validation protocols at the module and system levels. Results support the conclusion that the device is as safe and effective as the predicate devices.
Technological Characteristics
Software-based application for high-performance PCs; Windows OS compatible. Utilizes Generic CAP Interface for data exchange. Performs 3D/4D tomographic reconstruction, rendering, and morphological/functional analysis of ultrasound datasets. Standalone software package; integrates with Image-Arena platforms. No specific hardware materials or energy sources; relies on host PC hardware.
Indications for Use
Indicated for the analysis of pathologies related to the mitral valve in patients undergoing ultrasound imaging.
Regulatory Classification
Identification
A programmable diagnostic computer is a device that can be programmed to compute various physiologic or blood flow parameters based on the output from one or more electrodes, transducers, or measuring devices; this device includes any associated commercially supplied programs.
Image-Arena 4.0 and Image-Arena Applications with 2D Cardiac Performance Analysis 1.0 (K090461)
Submission Summary (Full Text)
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K103782 P1/3
Image /page/0/Picture/1 description: The image shows the logo for TOMTEC IMAGING SYSTEMS. The logo is in black and white. The word "TOMTEC" is in large, bold letters, with the "O" stylized to look like a circle with a line through it. Below the word "TOMTEC" is the phrase "IMAGING SYSTEMS" in smaller letters.
December 10th, 2010
# Special 510(k) Summary
JAN 2 7 2011
4D MV-Assessment 2.0
## Owner's Name and Address
TomTec Imaging Systems GmbH Edisonstrasse 6 D-85716 Unterschleissheim
### Contact Person
Inge Scheidt QM & RA Officer ++49-89-32175-515 Phone Fax ++49-89-32175-750
#### Common, Classification & Proprietary Names
| Common Name: | Various Ultrasound Image Analysis<br>Software |
|----------------------|-----------------------------------------------|
| Classification Name: | Programmable diagnostic computer |
| Proprietary Name(s): | 4D MV-Assessment 2.0 |
#### Predicate Devices:
| Predicate Device 1 | K071232 | Image-Arena Platform 3.0; Research-<br>Arena Platform 2.0; Echo-Com 3.0; Image-<br>Com 3.0; 4D Cardio-View 2.0; 4D LV-<br>Analysis 2.5; 4D RV-Function 1.0; 4D MV<br>Assessment 1.2; 4D LV-Function 2.0<br>Only 4D MV-Assessment 1.2<br>component and 4D LV-Analysis 2.5<br>component, TomTec Imaging Systems<br>GmbH |
|--------------------|---------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Predicate Device 2 | K090461 | Image-Arena 4.0 and Image-Arena<br>Applications with 2D Cardiac Performance<br>Analysis 1.0<br>TomTec Imaging Systems GmbH |
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summary
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K103782 P2/3
Image /page/1/Picture/1 description: The image shows the logo for TOMTEC IMAGING SYSTEMS. The logo is in black and white, with the word "TOMTEC" in large, bold letters. Below the word "TOMTEC" is the phrase "IMAGING SYSTEMS" in smaller letters. The logo is simple and modern, and it is likely used to represent the company's brand.
#### Device Description
4D MV-Assessment® is a clinical application package for high performance PC platforms based on Microsoft® Windows® operating system standards. 4D MV-Assessment is software for the retrieval, reconstruction, rendering and analysis of digitized ultrasound B-mode images and Color Doppler images. The data is acquired by ultrasound machines that are able to store compatible 3D/4D datasets. The digital 3D/4D data can be used for comprehensive morphological and functional assessment of the mitral valve.
4D MV-Assessment is compatible with different Tom Tec Image-ArenaTM platforms, their derivatives or any other platform that provides and supports the Generic CAP Interface. Platforms enhance the workflow by providing the database, import, export and other functionalities. All analyzed data and images will be transferred to the platform for reporting and statistical quantification purposes.
4D MV-Assessment is designed for 2-, 3- and 4-dimensional morphological and functional analysis of mitral valves (MV). Based on an easy and intuitive workflow the application package generates models of anatomical structures such as MV annulus, leaflet and the closure line. Automatically derived parameters allow quantification of pre- and post-operative valvular function and comparison of morphology.
4D MV-Assessment improves the presentation of anatomy and findings to surgeons and cardiologists and visualizes the complex morphology and dynamics of the mitral valve.
The Generic CAP Interface is used to connect clinical application packages (=CAPs) to platforms to exchange digital medical data.
#### Intended Use
4D MV Assessment is intended to retrieve, analyze and store digital ultrasound images for computerized 3-dimensional and 4-dimensional (dynamic 3D) image processing.
4D MV Assessment reads certain digital 3D/4D image file formats for reprocessing to a proprietary 3D/4D image file format for subsequent 3D/4D tomographic reconstruction and rendering. It is intended as a general purpose digital 3D/4D ultrasound image processing tool for cardiology.
#### Indications for use
4D MV-Assessment 2.0 is intended as software to analyze pathologies related to the mitral valve.
Image /page/1/Picture/13 description: The image shows a series of black, angled lines arranged in a somewhat curved pattern. The lines are short and thick, and they are oriented at various angles, creating a sense of movement or flow. The overall impression is abstract and geometric, with the lines forming a dynamic composition. The lines are close together, creating a dense and textured effect.
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Image /page/2/Picture/1 description: The image shows the logo for TOMTEC Imaging Systems. The logo is in black and white, with the word "TOMTEC" in large, bold letters. Below the word "TOMTEC" is the phrase "IMAGING SYSTEMS" in smaller letters. The logo is simple and modern, and it is likely used to represent the company's brand.
#### Technological Characteristics Comparison
For detailed comparison of all software functionalities of the subject device and the predicate devices refer to Chapt.12: Substantial Equivalent discussion.
### Discussion according non-clinical performance data testing
Testing was performed according to internal company procedures. Software testing and validation were done at the module and system level according to written test protocols established before testing, was conducted. Test results were reviewed by designated technical professionals before software proceeded to release. Please refer to Chapter 16: Software, Verification and Validation Documentation.
#### Discussion according clinical performance data testing
The overall product concept was clinically accepted and the clinical test results support the conclusion that the subject device is as safe as effective, and performs as well as the predicate devices. Please refer to Chapter 16: Software, Verification and Validation Documentation.
#### Test Conclusions of non-clinical and clinical performance data
Test results support the conclusion, that the subject device is as safe as effective, and performs as well as or better than the predicate devices. Please refer to Chapter 16: Software, Verification and Validation Documentation.
Munich, December 10th, 2010
Inae Scheidt OM & RA Officer
Image /page/2/Picture/12 description: The image shows a series of black, angled lines arranged in a somewhat circular or spiral pattern. The lines are thick and appear to be of uniform width. The overall impression is abstract, with the lines creating a sense of movement or rotation. The lines are arranged close together, creating a dense and visually complex pattern.
summary
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## DEPARTMENT OF HEALTH & HUMAN SERVICES
Image /page/3/Picture/1 description: The image shows the logo for the U.S. Department of Health & Human Services. The logo features the department's name in a circular arrangement around a stylized eagle emblem. The eagle is depicted with three wing-like shapes, creating a sense of movement and flight. The overall design is simple and professional, reflecting the department's role in public health and human services.
#### Public Health Service
Food and Drug Administration 10903 New Hampshire Avenue Document Control Room -WO66-G609 Silver Spring, MD 20993-0002
TomTec Imaging Systems GmbH c/o Ms. Inge Scheidt QM & RA Officer Edisonstrasse 6 85716 Unterschleissheim Unterschleissheim, Germany D-85716
JAN 2 7 201
Re: K103782
Trade/Device Name: 4D MV-Assessment 2.0 Regulation Number: 21 CFR 870.1425 Regulation Name: Programmable Diagnostic Computer Regulatory Class: Class II (two) Product Code: DQK Dated: December 10, 2010 Received: December 27, 2010
Dear Ms. Scheidt:
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 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.
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Page 2 - Ms. Inge Scheidt
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 803); 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.
If you desire specific advice for your device on our labeling regulation (21 CFR Part 801), please go to http://www.fda.gov/AboutFDA/CentersOffices/CDRH/CDRHOffices/ucm115809.htm for the Center for Devices and Radiological Health's (CDRH's) Office of Compliance. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21CFR 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/MedicalDevices/Resourcesfor You/Industry/default.htm.
Sincerely yours,
Bram D. Zuckerman, M.D. Director Division of Cardiovascular Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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## Indications for Use
510(k) Number (if known): _ K103782
Device Name:
#### 4D MV-Assessment 2.0
Indications for Use:
MV-Assessment 2.0 is intended as software to analyze pathologies. related to the mitral valve.
| 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 OF NEEDED).
Concurrence of CDRH, Office of Device Evaluation (ODE)
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(Division Sign-Off) 1127/2011 Division of Cardiovascular Devices 510(k) Number_K103782
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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.