The TCL3 Motion Tracking System is an accessory to a Magnetic Resonance Imaging (MRI) scanner. The system uses a markerless sensor based technology for tracking of patient movement during an MRI session. It provides the current position of the patient in real-time to the MRI scanner. The TCL3 System is intended to support, supplement and/or augment the performance of the Siemens Magnetom Skyra, Siemens Magnetom Prisma, Philips Achieva and GE Signa Premier scanners.
Device Story
TCL3 Motion Tracking System is an MRI accessory for real-time patient head motion tracking. It uses a markerless sensor approach, employing a camera and infrared light modulator to project structured light patterns onto the patient's head. The system continuously scans the head surface, generating high-resolution 3D surfaces at 30 frames per second. These surfaces are compared against an initial reference position to calculate motion in 6 degrees of freedom (x, y, z translations and rotations). Motion data is transmitted to the MRI scanner via Ethernet (UDP/IP) to support, supplement, or augment scanner performance. The device is operated by professionals in clinical environments. It is battery-powered (>8 hours) and attaches to the scanner table. By providing real-time motion data, the system enables the MRI scanner to perform motion correction, potentially improving image quality and reducing the need for rescans.
Clinical Evidence
No clinical data. Evidence consists of bench testing for electrical/mechanical safety (IEC 60601-1), EMC (IEC 60601-1-2), software verification/validation (IEC 62304), tracking accuracy, MR compatibility, and mechanical compatibility.
Technological Characteristics
Markerless 3D surface tracking using camera and infrared light modulator. Tracks 6 degrees of freedom. Accuracy: 200 μm (translational), 0.2 degrees (rotational). Recording rate: 30 fps. Connectivity: Ethernet (UDP/IP). Power: Battery (>8 hours). Mounting: Detachable, scanner table-mounted. Standards: ISO 14971, IEC 60601-1, IEC 60601-1-2, IEC 62304.
Indications for Use
Indicated for use as an accessory to MRI scanners to track patient head movement in real-time during an MRI session. Intended for professional use in hospitals, doctor's offices, or facilities using MRI devices.
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.
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April 28, 2021
Image /page/0/Picture/1 description: The image contains the logo of the U.S. Food and Drug Administration (FDA). On the left is the Department of Health & Human Services logo. To the right of that is the FDA logo, which is a blue square with the letters "FDA" in white. To the right of the blue square is the text "U.S. FOOD & DRUG ADMINISTRATION" in blue.
TracInnovations ApS % Sheila Pickering Ph.D. Consultant Sheila Pickering PhD 2081 Longden Circle LOS ALTOS CA 94024
Re: K203451
Trade/Device Name: TCL3 Motion Tracking System Regulation Number: 21 CFR 892.1000 Regulation Name: Magnetic resonance diagnostic device Regulatory Class: Class II Product Code: LNH Dated: April 8, 2021 Received: April 12, 2021
Dear Dr. Pickering:
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. Although this letter refers to your product as a device, please be aware that some cleared products may instead be combination products. The 510(k) Premarket Notification Database located at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm identifies combination product submissions. 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. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
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.
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 of medical device-related adverse events) (21 CFR 803) for
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devices or postmarketing safety reporting (21 CFR 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reportingcombination-products); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
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 https://www.fda.gov/medical-device-safety/medical-device-reportingmdr-how-report-medical-device-problems.
For comprehensive regulatory information about mediation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medicaldevices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuing-education/cdrh-learn). Additionally, you may contact the Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See the DICE website (https://www.fda.gov/medical-device-advice-comprehensive-regulatoryassistance/contact-us-division-industry-and-consumer-education-dice) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely.
For
Thalia T. Mills, Ph.D. Director Division of Radiological Health OHT7: Office of In Vitro Diagnostics and Radiological Health Office of Product Evaluation and Quality Center for Devices and Radiological Health
Enclosure
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#### DEPARTMENT OF HEALTH AND HUMAN SERVICES Food and Drug Administration
## Indications for Use
K203451
Form Approved: OMB No. 0910-0120 Expiration Date: 06/30/2023 See PRA Statement below.
510(k) Number (if known) not known
Device Name
TCL3 Motion Tracking System
#### Indications for Use (Describe)
The TCL3 Motion Tracking System is an accessory to a Magnetic Resonance Imaging (MRI) scanner. The system uses a markerless sensor based technology for tracking of patient movement during an MRI session. It provides the current position of the patient in real-time to the MRI scanner. The TCL3 System is intended to support, supplement and/or augment the performance of the Siemens Magnetom Skyra, Siemens Magnetom Prisma, Philips Achieva and GE Signa Premier scanners.
Type of Use (Select one or both, as applicable)
X Prescription Use (Part 21 CFR 801 Subpart D)
Over-The-Counter Use (21 CFR 801 Subpart C)
#### CONTINUE ON A SEPARATE PAGE IF NEEDED.
This section applies only to requirements of the Paperwork Reduction Act of 1995.
#### *DO NOT SEND YOUR COMPLETED FORM TO THE PRA STAFF EMAIL ADDRESS BELOW.*
The burden time for this collection of information is estimated to average 79 hours per response, including the time to review instructions, search existing data sources, gather and maintain the data needed and complete and review the collection of information. Send comments regarding this burden estimate or any other aspect of this information collection, including suggestions for reducing this burden, to:
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## 510(k) Summary (K203451) Prepared April 08, 2021
| Sponsor: | TracInnovations<br>World Trade Center,<br>Borupvang 3,<br>DK-2750 Ballerup<br>Denmark |
|----------------------------------------------------------|---------------------------------------------------------------------------------------|
| Contact Person: | Stefan Glimberg |
| Telephone: | +45 61 66 89 69 |
| Submission Date: | November 18, 2020 |
| Device Name: | TCL3 Motion Tracking System |
| Common Name: | Magnetic Resonance Diagnostic Device (MRDD) |
| Trade Name: | TCL3 Motion Tracking System |
| Classification:<br>Regulatory Class:<br>Review Category: | II<br>21CFR 892.1000 (LNH) |
| Classification Panel: | Radiology |
#### A. Legally Marketed Predicate Devices
The predicate device is the Motion Correction System (K193324) manufactured by KinetiCor, Inc.
### B. Device Description:
The TCL3 Motion Tracking System monitors the patient's head for the scan. It can be turned off between patient scans. While running, the TCL3 Motion Tracking System continuously scans the surface of the patient's head, producing high-resolution 3D surfaces consisting of thousands of individual points. A structured light technique is utilized, using the combination of a camera and an infrared light modulator to reconstruct 3D surfaces of the patient's head. Each second, 30 surfaces are created. Each of these surfaces is used for geometric alignment relative to an initial reference position obtained at the beginning of the scan. From these alignments, motion data can be calculated in real-time.
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## C. Intended Use / Indications for Use
The TCL3 Motion Tracking System is an accessory to a Magnetic Resonance Imaging (MRI) scanner. The system uses a markerless sensor based technology for tracking of patient movement during an MRI session. It provides the current position of the patient in real-time to the MRI scanner.
The TCL3 System is intended to support, supplement and/or augment the performance of the Siemens Magnetom Skyra, Siemens Magnetom Prisma, Philips Achieva and GE Signa Premier scanners.
## D. Substantial Equivalence
The TCL3 Motion Tracking System is substantially equivalent to the KinetiCor Motion Correction System (K193324).
| Device Name | Predicate Device | Subject Device |
|--------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| | Motion Correction System manufactured by KinetiCor (K193324) | TCL3 Motion Tracking System manufactured by TracInnovations |
| Indications for Use | The Motion Correction System is an accessory to a Magnetic Resonance Imaging (MRI) scanner. The system is a sensor based technology for tracking of patient movement during an MRI session. It provides the current position of the patient in real-time to the MRI scanner for further data processing. User: Professional Use Environment: Hospital, doctor's office, or any facility that uses an MRI device. KinetiCor defines the Motion Correction System as an accessory to a medical device. It is intended to support, supplement and/or augment the performance of the MAGNETOM Skyra 3T MRI scanner. | The TCL3 Motion Tracking System is an accessory to a Magnetic Resonance Imaging (MRI) scanner. The system uses a markerless sensor based technology for tracking of patient movement during an MRI session. It provides the current position of the patient in real-time to the MRI scanner. The TCL3 System is intended to support, supplement and/or augment the performance of the Siemens Magnetom Skyra, Siemens Magnetom Prisma, Philips Achieva and GE Signa Premier scanners. |
| Intended Users | Professional Use Environment: Hospital, doctor's office, or any facility that uses an MRI device. | Professional Use Environment: Hospital, doctor's office, or any facility that uses an MRI device. |
| Manufacturer | KinetiCor, Inc | TracInnovations |
| Regulation medical specialty | Radiology | Radiology |
| Product code | LNH | LNH |
| Regulation number | 892.1000 | 892.1000 |
| Regulation description | Magnetic resonance diagnostic device | Magnetic resonance diagnostic device |
| Classification | II | II |
| | Predicate Device: KinetiCor,<br>Motion Correction System<br>(K193324) | Subject Device: TracInnovations,<br>TCL3 Motion Tracking System |
| Core Technology | KinetiCor defines the Motion<br>Correction System as an accessory<br>to a medical device. It is intended to<br>support, supplement and/or augment<br>the performance of the scanners<br>indicated below. | TracInnovations defines its TCL3 Motion<br>Tracking System as an accessory to a<br>medical device. It is intended to support,<br>supplement and/or augment the<br>performance of the scanners indicated<br>below. |
| Marker required | Yes. Requires attachment of marker<br>to the nose bridge of the patient | No. Attachment of a marker is not required |
| Data acquisition<br>sensor | Use at least two cameras out of four<br>to identify a marker and then track<br>the marker. Use infrared light to<br>illuminate the marker. | Use one camera and one infrared light<br>modulator (projection of structured light<br>patterns) to identify and track a surface. |
| Line of sight | Line of sight for two cameras to the<br>marker | Line of sight for the camera and infrared<br>light modulator to the patient |
| MRI scanner<br>compatibility | Siemens MAGNETOM Skyra 3T | Siemens MAGNETOM Prisma 3T<br>Siemens MAGNETOM Skyra 3T<br>Philips Achieva 3T<br>GE Signa Premier 3T |
| Scanner bore<br>compatibility | 60 cm and 70 cm bore systems | 60 cm and 70 cm bore systems |
| Scanner mounting | In-bore attachment, Fixed | Attachment on the scanner table,<br>Detachable |
| Communication<br>with scanners | Ethernet connection | Ethernet connection, UDP/IP protocol |
| Powering | Plug-in | Battery, >8 hours |
| Motion tracking | Tracks motion of the head in 6<br>degrees of freedom (x,y,z<br>translations, and rotations) | Tracks motion of the head in 6 degrees of<br>freedom (x,y,z translations, and rotations) |
| Translational<br>accuracy | 100 μm | 200 μm |
| Rotational<br>accuracy | 0.1 degrees | 0.2 degrees |
| Recording rate | 60 frames per second | 30 frames per second |
| Cross calibration<br>procedure | At least once per month | Iteratively adapting |
#### Table 1. Substantial Equivalence Comparison of Indications for Use
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Table 2. Substantial Equivalence Comparison for Technological Characteristics
Based on the comparison of indication for use and technological characteristics, the subject device is substantially equivalent to the predicate device. Based on the performance data provided in the submission the differences do not introduce new issues related to safety and efficacy.
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# E. Performance Data
Each specification of the TCL3 Motion Tracking System has been verified and validated as required by the risk analysis. All design verification and validation activities were performed by the designated individual(s) and the results demonstrated that the predetermined acceptance criteria were met.
| ISO 14971 | Application of risk management to medical devices |
|---------------|--------------------------------------------------------------------------------------------------|
| IEC 60601-1 | Medical electrical equipment- General requirements for basic safety and<br>essential performance |
| IEC 60601-1-2 | Electromagnetic disturbances |
| IEC 62304 | Medical device software - Software life-cycle processes |
The verification and validation testing included testing to the following applicable standards:
Verification and validation testing were completed in accordance with the company's Design Control process in compliance with 21 CFR Part 820.30. Successful results for the following tests were included in the submission as performance data supporting substantial equivalence:
- 1. Bench testing for electrical and mechanical safety in compliance with the standards cited above
- Bench testing for EMC in compliance with the standard cited above 2.
- 3. Software testing, consisted of verification and validation testing in compliance with ISO 62304, including test cases related to off the shelf software, as well as cybersecurity features and wireless coexistence.
- 4. Bench testing for tracking quality and accuracy, MR compatibility and Mechanical compatibility
Clinical data was not required for this type of device.
### F. Conclusion
Potential risks were identified according to the ISO 14971 Standards. The risks were analyzed with regard to risk/benefit category and mitigations were implemented and tested as part of the performance testing described above. All risk mitigations were satisfactorily verified and validated. Where there were technological differences from the predicate, the performance data demonstrated that these did result in any new issues of safety or efficacy.
Therefore, the TCL3 Motion Tracking System is substantially equivalent to the predicate device with regards to intended use and technological characteristics. Results of performance testing demonstrated that the device met the design requirements and as well as the user needs.
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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
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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.
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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.
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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.
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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.