(84 days)
Not Found
Yes
The device description explicitly mentions a "convolutional network-based algorithm" and "neural network based filtering," which are common architectures and techniques used in artificial intelligence and machine learning for image processing.
No.
SubtleMR is an image processing software that enhances MRI images by reducing noise or increasing sharpness, which aids in diagnosis rather than directly preventing, treating, or diagnosing a disease or condition.
No.
SubtleMR is an image processing software designed to enhance the quality of MRI images (e.g., reduce noise, increase sharpness) for improved visualization. It does not directly diagnose medical conditions but rather provides enhanced images for radiologists to use in their diagnostic process.
Yes
The device is explicitly described as "Software as a Medical Device (SaMD)" and its function is solely image processing of existing MRI data. There is no mention of any hardware component being part of the device itself.
Based on the provided information, no, this device is not an IVD (In Vitro Diagnostic).
Here's why:
- IVD Definition: In Vitro Diagnostics are medical devices used to examine specimens taken from the human body (like blood, urine, tissue) to provide information about a person's health. They are used outside the body (in vitro).
- SubtleMR's Function: SubtleMR is an image processing software that enhances existing medical images (MRI scans) taken from the human body. It does not analyze biological specimens.
SubtleMR falls under the category of Software as a Medical Device (SaMD) that processes medical images. While it is a medical device and subject to regulatory oversight, its function is distinct from that of an IVD.
No
The provided input states "Control Plan Authorized (PCCP) and relevant text: Not Found", which does not indicate that the FDA has reviewed and approved or cleared a PCCP for this device.
Intended Use / Indications for Use
SubtleMR is an image processing software that can be used for image enhancement in MRI images. It can be used to reduce image noise for head, spine, neck and knee MRI, or increase image sharpness for non-contrast enhanced head MRI.
Product codes
LLZ
Device Description
SubtleMR is Software as a Medical Device (SaMD) consisting of a software algorithm that enhances images taken by MRI scanners. As it only processes images for the end user, the device has no user interface. It is intended to be used by radiologists in an imaging center, clinic, or hospital. The software can be used with MR images acquired as part of MRI exams on 1.2 Tesla, 1.5 Tesla or 3 Tesla scanners. The device's inputs are standard of care MRI images. The outputs are images with enhanced image quality.
The software uses a convolutional network-based algorithm to improve image quality by reducing noise or increasing the image sharpness. The algorithm's specific parameters vary depending on the choice of image enhancement: noise reduction or image sharpness increase, while the network designs are similar. For each choice, there is a fixed set of parameters and the algorithm is working as a fixed nonlinear filter. The choice of image enhancement is made by the end user via the DICOM Series Description, command line argument, or environment variable.
Mentions image processing
Yes
Mentions AI, DNN, or ML
Yes
Input Imaging Modality
MRI
Anatomical Site
head, spine, neck and knee
Indicated Patient Age Range
Not Found
Intended User / Care Setting
radiologists in an imaging center, clinic, or hospital.
Description of the training set, sample size, data source, and annotation protocol
Not Found
Description of the test set, sample size, data source, and annotation protocol
The main performance study, utilizing retrospective clinical data, was divided into two tests. For the noise reduction performance test, acceptance criteria were that signal-to-noise ratio (SNR) of a selected region of interest (ROI) in each test dataset is on average improved by greater than or equal to 5% after SubtleMR enhancement compared to the original images, and (ii) the visibility of small structures in the test datasets before and after SubtleMR is on average less than or equal to 0.5 Likert scale points. This test passed.
For the sharpness increase performance test, acceptance criteria were that the thickness of anatomic structure and the sharpness of structure boundaries are improved after SubtleMR enhancement in at least 90% of the test datasets. This test passed.
Summary of Performance Studies (study type, sample size, AUC, MRMC, standalone performance, key results)
Subtle Medical conducted the following performance testing:
- Software verification and validation testing
- Study that utilized retrospective clinical data to demonstrate the software enhanced image quality in MR images via a reduction of noise or an increase of image sharpness.
The main performance study, utilizing retrospective clinical data, was divided into two tests.
For the noise reduction performance test, acceptance criteria were that signal-to-noise ratio (SNR) of a selected region of interest (ROI) in each test dataset is on average improved by greater than or equal to 5% after SubtleMR enhancement compared to the original images, and (ii) the visibility of small structures in the test datasets before and after SubtleMR is on average less than or equal to 0.5 Likert scale points. This test passed.
For the sharpness increase performance test, acceptance criteria were that the thickness of anatomic structure and the sharpness of structure boundaries are improved after SubtleMR enhancement in at least 90% of the test datasets. This test passed.
Based upon the results of this testing, the SubtleMR performance was determined to be substantially equivalent to the predicate device.
Key Metrics (Sensitivity, Specificity, PPV, NPV, etc.)
Not Found
Predicate Device(s)
Reference Device(s)
Not Found
Predetermined Change Control Plan (PCCP) - All Relevant Information
Not Found
§ 892.2050 Medical image management and processing system.
(a)
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.(b)
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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Image /page/0/Picture/0 description: The image shows the logo of the U.S. Food & 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.
September 16, 2019
Subtle Medical, Inc. % Mr. Jared Seehafer Regulatory Consultant Enzyme Corporation 360 Langton Street, Suite 100 SAN FRANCISCO CA 94103
Re: K191688
Trade/Device Name: SubtleMR Regulation Number: 21 CFR 892.2050 Regulation Name: Picture archiving and communications system Regulatory Class: Class II Product Code: LLZ Dated: July 15, 2019 Received: July 17, 2019
Dear Mr. Seehafer:
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
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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 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 (OS) 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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Form Approved: OMB No. 0910-0120
Expiration Date: 06/30/2020
See PRA Statement below.
DEPARTMENT OF HEALTH AND HUMAN SERVICES Food and Drug Administration
Indications for Use
510(k) Number (if known)
K191688
Device Name SubtleMR
Indications for Use (Describe)
SubtleMR is an image processing software that can be used for image enhancement in MRI images. It can be used to reduce image noise for head, spine, neck and knee MRI, or increase image sharpness for non-contrast enhanced head MRI.
Type of Use (Select one or both, as applicable)
Prescription Use (Part 21 CFR 801 Subpart D)
| Over-The-Counter Use (21 CFR 801 Subpart C)
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FORM FDA 3881 (7/17)
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5 510(k) Summary
| 510(k) - SubtleMR |
|---|
| Submitter's Name: | Subtle Medical, Inc. |
|---|---|
| Address: | 883 Santa Cruz Ave, Suite 205 |
| Menlo Park, CA 94025 | |
| Contact Person: | Jared Seehafer |
| Title: | Regulatory Consultant |
| Telephone Number: | 415-857-9554 |
| Fax Number: | 415-367-1279 |
| Email: | jared@enzyme.com |
| Date Summary Prepared: | 24-JUN-2019 |
| Device Proprietary Name: | SubtleMR |
| Model Number: | V 1.0.0 |
| Common Name: | SubtleMR |
| Regulation Number: | 21 CFR 892.2050 |
| Regulation Name: | System, Image Processing, Radiological |
| Product Code: | LLZ |
| Device Class: | Class II |
| Predicate Device | Trade name: ZOOM |
| Manufacturer: Zetta Medical Technologies, LLC. | |
| 1313 Ensell Road | |
| Lake Zurich, IL 60047 | |
| Regulation Number: 21 CFR 892.2050 | |
| Regulation Name: System, Image Processing, | |
| Radiological | |
| Device Class: Class II | |
| Product Code: LLZ | |
| 510(k) Number: K172768 | |
| 510(k) Clearance Date: April 24, 2018 |
Table 5-1. Subject Device Overview.
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5.1 Device Description
SubtleMR is Software as a Medical Device (SaMD) consisting of a software algorithm that enhances images taken by MRI scanners. As it only processes images for the end user, the device has no user interface. It is intended to be used by radiologists in an imaging center, clinic, or hospital. The software can be used with MR images acquired as part of MRI exams on 1.2 Tesla, 1.5 Tesla or 3 Tesla scanners. The device's inputs are standard of care MRI images. The outputs are images with enhanced image quality.
The software uses a convolutional network-based algorithm to improve image quality by reducing noise or increasing the image sharpness. The algorithm's specific parameters vary depending on the choice of image enhancement: noise reduction or image sharpness increase, while the network designs are similar. For each choice, there is a fixed set of parameters and the algorithm is working as a fixed nonlinear filter. The choice of image enhancement is made by the end user via the DICOM Series Description, command line argument, or environment variable.
5.2 Indications for Use
SubtleMR is an image processing software that can be used for image enhancement in MRI images. It can be used to reduce image noise for head, spine, neck and knee MRI, or increase image sharpness for non-contrast enhanced head MRI.
5.3 Summary of Technological Characteristics Comparison
Table 5-2 shows the similarities and differences between the technological characteristics of the two products. The key difference is software algorithm. Testing demonstrates that the differences do not raise new questions of safety or effectiveness.
| Topic | Predicate Device | Subject Device |
|---|---|---|
| Physical | ||
| Characteristics | Software package that operates on | |
| off-the-shelf hardware | Same | |
| Computer | PC Compatible | Linux Compatible |
| DICOM | ||
| Standard | ||
| Compliance | The software processes DICOM | |
| compliant image data | Same | |
| Operating | ||
| System | Windows | Linux |
| Modalities | MRI | Same |
| User Interface | The software is designed for use | |
| on a radiology workstation. | None - enhanced images are | |
| viewed on existing PACS | ||
| workstations |
Table 5-2. Summary of Technological Characteristics Comparison.
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| Topic | Predicate Device | Subject Device |
|---|---|---|
| Image | ||
| Enhancement | ||
| Algorithm | ||
| Description | ZOOM image enhancement | |
| software implements a noise | ||
| reduction algorithm using | ||
| wavelets and image guided | ||
| filtering. Original images are | ||
| decomposed into different | ||
| wavelet sub bands and noise in | ||
| each band is a soft threshold. De- | ||
| noised images are reconstructed | ||
| from soft thresholded images | ||
| using inverse wavelet transform. | SubtleMR software implements | |
| an image enhancement | ||
| algorithm using convolutional | ||
| neural network based filtering. | ||
| Original images are enhanced | ||
| by running through a cascade of | ||
| filter banks, where thresholding | ||
| and scaling operations are | ||
| applied. Separate neural | ||
| network based filters are | ||
| obtained for noise reduction | ||
| and sharpness increase. The | ||
| parameters of the filters were | ||
| obtained through an image- | ||
| guided optimization process. | ||
| Workflow | The software, which is installed | |
| on a remote computer, receives | ||
| DICOM images from MRI host | ||
| computer, automatically | ||
| processes the received images and | ||
| sends the enhanced images to a | ||
| PACS server. Enhanced images | ||
| exist in conjunction to the original | ||
| images. | The software operates on | |
| DICOM files on the file system, | ||
| enhances the images, and stores | ||
| the enhanced images on the file | ||
| system. The receipt of original | ||
| DICOM image files and | ||
| delivery of enhanced images as | ||
| DICOM files depends on other | ||
| software systems. Enhanced | ||
| images co-exist with the | ||
| original images. |
5.3 Performance Data
Subtle Medical conducted the following performance testing:
- Software verification and validation testing ●
- . Study that utilized retrospective clinical data to demonstrate the software enhanced image quality in MR images via a reduction of noise or an increase of image sharpness.
The main performance study, utilizing retrospective clinical data, was divided into two tests.
For the noise reduction performance test, acceptance criteria were that signal-to-noise ratio (SNR) of a selected region of interest (ROI) in each test dataset is on average improved by greater than or equal to 5% after SubtleMR enhancement compared to the original images,
6
and (ii) the visibility of small structures in the test datasets before and after SubtleMR is on average less than or equal to 0.5 Likert scale points. This test passed.
For the sharpness increase performance test, acceptance criteria were that the thickness of anatomic structure and the sharpness of structure boundaries are improved after SubtleMR enhancement in at least 90% of the test datasets. This test passed.
Based upon the results of this testing, the SubtleMR performance was determined to be substantially equivalent to the predicate device.
5.4 Substantial Equivalence Conclusion
SubtleMR is an image enhancement software which has similar intended use and indications for use statement as the predicate device. The two devices have similar technological characteristics: both algorithms use image based nonlinear filtering and reconstruction, and both methods have optimized parameters to ensure robustness of the algorithm. This 510(k) submission includes information on the SubtleMR technological characteristics, as well as performance data and verification and validation activities demonstrating that SubtleMR is as safe and effective as the predicate, and does not raise different questions of safety and effectiveness.