The BOLD MRI Package for MAGNETOM VISION and SYMPHONY MR systems. provides dedicated acquisition and reconstruction techniques which offer the possibility of visualization of small susceptibility changes, due to increased levels of oxygen, by parametric images. The parametric images provide parameter information, instead of anatomical information. These parametric images can be overlaid on the anatomical images to optimize the presentation of information to support the diagnostic process. These BOLD images when interpreted by a trained physician, yield information that may assist in diagnosis.
Device Story
BOLD MRI Package is a post-processing software option for Siemens MAGNETOM VISION and SYMPHONY MR systems. It utilizes dedicated acquisition and reconstruction techniques to detect small susceptibility changes caused by increased oxygen levels. The device transforms raw MR signal data into parametric images representing physiological information rather than purely anatomical structures. These parametric maps are overlaid onto standard anatomical MR images. The system is operated by trained physicians in a clinical radiology setting. The output provides visual data to assist the physician in the diagnostic process, potentially aiding in the assessment of brain function or pathology by highlighting oxygen-dependent susceptibility variations.
Clinical Evidence
Laboratory and clinical testing were performed to support the claim of substantial equivalence. No specific quantitative metrics (e.g., sensitivity, specificity, p-values) are provided in the summary document.
Technological Characteristics
Software post-processing package for existing MR systems. Operates on MAGNETOM VISION and SYMPHONY platforms. Uses standard MR hardware (magnet, RF, gradient systems). Parametric imaging based on susceptibility changes related to oxygen levels. No changes to core MR safety parameters (static field, RF power, acoustic noise).
Indications for Use
Indicated for use by trained physicians to visualize small susceptibility changes related to oxygen levels in patients undergoing MRI, providing parametric images that may be overlaid on anatomical images to assist in the diagnostic process.
Regulatory Classification
Identification
A magnetic resonance diagnostic device is intended for general diagnostic use to present images which reflect the spatial distribution and/or magnetic resonance spectra which reflect frequency and distribution of nuclei exhibiting nuclear magnetic resonance. Other physical parameters derived from the images and/or spectra may also be produced. The device includes hydrogen-1 (proton) imaging, sodium-23 imaging, hydrogen-1 spectroscopy, phosphorus-31 spectroscopy, and chemical shift imaging (preserving simultaneous frequency and spatial information).
Special Controls
*Classification.* Class II (special controls). A magnetic resonance imaging disposable kit intended for use with a magnetic resonance diagnostic device only is exempt from the premarket notification procedures in subpart E of part 807 of this chapter subject to the limitations in § 892.9.
Submission Summary (Full Text)
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0/12/99.
SIEMENS
198422
## 510 (k) Summary
This summary of 510(k), safety and effectiveness information is being submitted in accordance with the requirements of SMDA 1990 and 21 CFR 807.92.
#### I. General Information.
#### Establishment:
- . Address: Siemens Medical Systems, Inc. 186 Wood Avenue South Iselin, N.J. 08830
Registration Number: 2240869
| Contact Person: | Ms. Kathleen Rutherford<br>Manager, Regulatory Submissions |
|-----------------|------------------------------------------------------------|
| Telephone: | (732) 321-4779 |
| FAX: | (732) 321-4841 |
Date of Summary Preparation: 4/18/97
#### Device Name:
BOLD MRI Package for MAGNETOM VISION and MAGNETOM Trade Name: SYMPHONY MR Systems
| | • Systems Classification Name: Magnetic Resonance Diagnostic<br>Device, CFR $\alpha$ 892.1000 |
|-----------------------|-----------------------------------------------------------------------------------------------|
| Classification | : Class II |
| Performance Standards | : None established under Section 514 the Food, Drug,<br>and Cosmetic Act. |
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# ਟੀEMENS
## II. Safety and Effectiveness Information Supporting Substantial Equivalence.
#### · Device Description:
The BOLD MRI Package is an postprocessing option for the MAGNETOM VISION and MAGNETOM SYMPHONY Systems
#### • Intended Use
The BOLD MRI Package for MAGNETOM VISION and SYMPHONY MR systems. provides dedicated acquisition and reconstruction techniques which offer the possibility of visualization of small susceptibility changes, due to increased levels of oxygen, by parametric images. The parametric images provide parameter information, instead of anatomical information. These parametric images can be overlaid on the anatomical images to optimize the presentation of information to support the diagnostic process. These BOLD images when interpreted by a trained physician, yield information that may assist in diagnosis.
#### • Technological Characteristics
The magnet, RF system, and gradient system, of the MAGNETOM VISION and MAGNETOM SYMPHONY configured with the BOLD MRI Package is substantially equivalent to the standard MAGNETOM V4SION and MAGNETOM SYMPHONY systems.
#### · General Safety and Effectiveness Concerns:
Operation of the MAGNETOM VISION and MAGNETOM SYMPHONY with the BOLD MRI Package is substantially equivalent to standard operation of the MAGNETOM VISION and MAGNETOM SYMPHONY systems. The following MR safety and performance parameters are unaffected by the modification:
## [Safety]
- . Maximum Static Field
- . Rate of Change of Magnetic Field
- . RF Power Deposition
- . Acoustic Noise Levels
- . Specification Volume
## [Performance]
- . Signal to Noise
- . Image Uniformity
- . Geometric Distortion
- . Slice Profile, Thickness and Gap
- . High Contrast Spatial Resolution
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## • Substantial Equivalence:
Laboratory and clinical testing were performed to support this claim of substantial equivalence and to show that the technological differences do not raise any new questions pertaining to safety and effectiveness.
Kathleen M. Rutherford
Manager, Regulatory Submissions
1/19/99
Date
..
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Public Health Service
Food and Drug Administration 9200 Corporate Boulevard Rockville MD 20850
FEB 1 2 1999
Kathleen Rutherford Manager, Regulatory Submissions Siemens Medical Systems, Inc. 186 Wood Avenue South Iselin, NJ 08830
Re:
BOLD MRI Package for MAGNETOM VISION AND MAGNETOM SYMPHONY MR SYSTEMS Dated: November 24, 1998 Received: November 25, 1998 Regulatory class: II 21 CFR 892.1000/Procode: 90 LNH
Dear Ms. Rutherford:
We have reviewed your Section 510(k) notification of intent to market the device referenced above and we 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). 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.
K984221
If vour device is classified (see above) into either class II (Special Controls) or class III (Premarket Approval), 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 895. A substantially equivalent determination assumes compliance with the Current Good Manufacturing Practice requirements, as set forth in the Quality System Regulation (QS) for Medical Devices: General regulation (21 CFR Part 820) and that, through periodic QS inspections, the Food and Drug Administration (FDA) will verify such assumptions. Failure to comply with the GMP regulation may result in requlatory action. In addition, FDA may publish further announcements concerning your device in the Federal Register. Please note: this response to your premarket notification submission does not affect any obligation you might have under sections 531 through 542 of the Act for devices under the Electronic Product Radiation Control provisions, or other Federal laws or regulations.
This letter will allow you to begin marketing your device as described in your 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 and additionally 809.10 for in vitro diagnostic devices), please contact the Office of Compliance at (301) 594-4613. 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"(21 CFR 807.97). Other general information on your responsibilities under the Act may be obtained from the Division of Small Manufacturers 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,
Cant. Daniel C. Schultz, M.D.
Capt. Daniel G. Schultz, M.D. Acting Director, Division of Reproductive, Abdominal. Ear. Nose and Throat. and Radiological Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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510(k) Number (if known) K984221
Device Name: BOLD MRI Package for MAGNETOM VISION and SYMPHONY MR
Indications for Use:
The BOLD MRI Package for MAGNETOM VISION and SYMPHONY MR systems, provides dedicated acquisition and reconstruction techniques which offer the possibility of visualization of small susceptibility changes, due to increased levels of oxygen, by parametric images. The parametric images provide parameter information, instead of anatomical information. These parametric images can be overlaid on the anatomical images to optimize the presentation of information to support the diagnostic process. These BOLD images when interpreted by a trained physician, yield information that may assist in diagnosis.
(please do not write below this line- continue on another page if needed)
Concurrence of CDRH, Office of Device Evaluation Prescription Use V OR Over-The-Counter Use
David A. Legan
(Division Sign-Off)
Division of Reproductive, Abdominal, ENT and Radiological Dev 510(k) Number
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.