(28 days)
BoneMRI is an image processing software that can be used for image enhancement in MRI images. It can be used to visualize the bone structures in MRI images with enhanced contrast with surrounding soft tissue. It is to be used in the pelvic region, which includes the bony anatomy of the sacrum, hip bones and femoral heads; and the lumbar spine region, which includes the bony anatomy of the vertebrae from L3 to S1. BoneMRI is not to be used for diagnosis or monitoring of (primary or metastatic) tumors.
Warning: BoneMRI images are not intended to replace CT images.
The BoneMRI application is a standalone image processing software application that analyses 3D gradient echo MRI scans acquired with a dedicated MRI scan protocol. From the analysis, 3D tomographic radiodensity contrast images, called BoneMRI images, are constructed.
The BoneMRI images can be used to visualize the bone structures in MR images with enhanced contrast with respect to the surrounding soft tissue. The application is designed to be used by imaging experts, such as radiologists or orthopedic surgeons, typically in a physician's office.
The BoneMRI application is a server application running on the clinic or hospital networks. It is available as fully on-premise software with specific GPU hardware requirements, or partly running as a managed service, for which the environment in which the managed modules run is controlled by MRIquidance, but the managed service will not receive protected health information (PHI). Within the hospital network, the application communicates with a DICOM compatible imaging archive (e.g., a PACS) to receive input MRI and to return BoneMRI images. Reading of the resulting BoneMRI images is performed using reqular DICOM compatible medical imaging viewing software.
The application uses an algorithm to detect bone images from MRIs obtained using a specific acquisition sequence. The algorithm training sets included information from multiple clinical sites, multiple anatomies, and multiple scanners to ensure that the trained algorithm was robust with respect to the approved indications for use. None of the data used in the training dataset was used subsequently in the validation dataset.
The document describes the performance testing of BoneMRI v1.6, an image processing software designed to enhance bone structures in MRI images of the pelvic and lumbar spine regions. The study aims to demonstrate that BoneMRI v1.6 meets specified accuracy acceptance criteria for bone morphology, radiodensity, and radiodensity contrast.
Here's the breakdown of the acceptance criteria and study details:
1. Table of Acceptance Criteria and Reported Device Performance
The acceptance criteria were established for the accuracy of 3D bone morphology, radiodensity, and radiodensity contrast when compared to co-registered CT scans.
| Metric | Acceptance Criteria | Reported Device Performance |
|---|---|---|
| 3D bone morphology | Mean absolute cortical delineation error below 1.0 mm | Mean absolute cortical delineation error below 1.0 mm |
| Tissue radiodensity (mean deviation) | Below 25 HU on average | Below 25 HU on average |
| Tissue radiodensity (mean deviation for bone) | Below 55 HU specifically for bone | Below 55 HU specifically for bone |
| Tissue radiodensity contrast | Mean HU correlation coefficient above 0.75 for bone | Mean HU correlation coefficient above 0.75 for bone |
The results from the validation testing were found to fall within the pre-specified acceptance criteria (p<0.05).
2. Sample Size Used for the Test Set and Data Provenance
- Pelvic Region: 101 patients
- Lumbar Spine Region: 103 patients
Data Provenance: The imaging data consists of BoneMRI and CT images from the same patients and anatomical regions, acquired during previously conducted clinical investigations.
Country of Origin: USA, Europe, Asia.
Retrospective/Prospective: The data is described as collected during "previously conducted clinical investigations," indicating a retrospective nature for this validation study.
3. Number of Experts and Qualifications for Ground Truth
The document does not explicitly state the number of experts or their qualifications used to establish ground truth. However, it mentions that the validation was conducted by MRIguidance, comparing BoneMRI images to co-registered CT scans. This implies that CT scans serve as the ground truth comparator, and their interpretation and co-registration would typically involve expert oversight, though not detailed here.
4. Adjudication Method for the Test Set
The document does not describe any specific adjudication method (e.g., 2+1, 3+1, none) for the test set. The validation was a quantitative voxel-by-voxel comparison against CT images.
5. Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study
No multi-reader multi-case (MRMC) comparative effectiveness study was mentioned. The study focused on the quantitative accuracy of the BoneMRI output against CT.
6. Standalone (Algorithm Only) Performance
Yes, the performance validation described is a standalone (algorithm only) performance study. The objective was to validate the quantitative accuracy of BoneMRI by comparing its output (BoneMRI images) directly to co-registered CT scans in terms of bone morphology, radiodensity, and radiodensity contrast.
7. Type of Ground Truth Used
The primary ground truth used was co-registered CT scans. The study quantitatively compared the BoneMRI output against the CT images in terms of voxel-by-voxel Hounsfield Units (HUs) and standard deviations, as well as 3D bone morphology and radiodensity contrast.
8. Sample Size for the Training Set
The sample size for the training set is not explicitly stated. However, the document mentions that the "algorithm training sets included information from multiple clinical sites, multiple anatomies, and multiple scanners." It also clarifies that "None of the data used in the training dataset was used subsequently in the validation dataset."
9. How the Ground Truth for the Training Set Was Established
The document mentions that the algorithm training sets were obtained from "multiple clinical sites, multiple anatomies, and multiple scanners." While it doesn't specify the exact method for establishing ground truth for training, given the nature of the device (enhancing MRI by providing CT-like bone visualization), it is highly probable that the training data also leveraged CT images or similar detailed anatomical references to teach the convolutional neural network to assign Hounsfield Units and reconstruct bone structures. The "algorithm development pipeline" is mentioned as the process through which the parameters of the model were obtained.
{0}------------------------------------------------
Image /page/0/Picture/0 description: The image shows the logo of the U.S. Food and Drug Administration (FDA). The logo consists of two parts: the Department of Health & Human Services logo on the left and the FDA logo on the right. The FDA logo includes the letters "FDA" in a blue square, followed by the words "U.S. FOOD & DRUG" in blue, and the word "ADMINISTRATION" in a smaller font size below.
February 22, 2023
MRIguidance B.V. % Sujith Shetty Executive Vice President MAXIS Medical 3031 Tisch Way, Suite 1010 San Jose, California 95128
Re: K230197
Trade/Device Name: BoneMRI v1.6 Regulation Number: 21 CFR 892.2050 Regulation Name: Medical Image Management And Processing System Regulatory Class: Class II Product Code: QIH Dated: January 25, 2023 Received: January 25, 2023
Dear Sujith Shetty:
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.
{1}------------------------------------------------
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 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 medical devices and radiation-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.
Daniel M. Krainak, Ph.D. Assistant Director Magnetic Resonance and Nuclear Medicine Team DHT8C: Division of Radiological Imaging and Radiation Therapy Devices OHT8: Office of Radiological Health Office of Product Evaluation and Quality Center for Devices and Radiological Health
Enclosure
{2}------------------------------------------------
Indications for Use
510(k) Number (if known)
Device Name BoneMRI v1.6
Indications for Use (Describe)
BoneMRI is an image processing software that can be used for image enhancement in MRI images. It can be used to visualize the bone structures in MRI images with enhanced contrast with surrounding soft tissue. It is to be used in the pelvic region, which includes the bony anatomy of the sacrum, hip bones and femoral heads; and the lumbar spine region, which includes the bony anatomy of the vertebrae from L3 to S1. BoneMRI is not to be used for diagnosis or monitoring of (primary or metastatic) tumors.
Warning: BoneMRI images are not intended to replace CT images.
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) | ☐ |
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:
Department of Health and Human Services Food and Drug Administration Office of Chief Information Officer Paperwork Reduction Act (PRA) Staff PRAStaff(@fda.hhs.gov
"An agency may not conduct or sponsor, and a person is not required to respond to, a collection of information unless it displays a currently valid OMB number."
{3}------------------------------------------------
Image /page/3/Picture/1 description: The image shows the logo for MRI Guidance. The logo consists of a circle with an arrow pointing to the upper right, followed by the text "MRI guidance". The text is in a sans-serif font, with "MRI" in a larger, bolder font than "guidance". The logo is in shades of blue.
5.1 510(k) Summary
This summary of 510(k) safety and effectiveness information is being submitted in accordance with the requirements of SMDA 1990 and 21 CRF 807.92.
510(k) number: K230197 5.2
5.3 Applicant Information
MRIguidance B.V. Maliesingel 23 3581 BG, Utrecht The Netherlands info@mriguidance.com www.mriquidance.com +31 681741711
5.4 Contact Person
Marijn van Stralen Chief Technology Officer MRIguidance B.V. Email: marijn@mriguidance.com Tel.: +31 610 505 649 Date Prepared: January 27, 2023
Official Correspondent 5.5
Dr. Sujith Shetty Executive Vice President MAXIS LLC Email: sjshetty@maxismedical.com
5.6 Device Information
| Trade Name: | BoneMRI v1.6 |
|---|---|
| Common Name: | MRI image enhancement software |
| Classification Name: | Medical image management and processing system |
| Regulation Number: | 21 CRF 892.2050 |
| Regulatory Class: | Class II |
| Product Code: | QIH |
{4}------------------------------------------------
Image /page/4/Picture/1 description: The image shows the logo for MRI guidance. The logo consists of a circle with an arrow pointing to the upper left, followed by the text "MRI" in a bold, sans-serif font, and the word "guidance" in a lighter, sans-serif font. The logo is in a teal color and is set against a dark blue background.
5.7 -Predicate Device
| Name | Manufacturer | 510(k)# |
|---|---|---|
| BoneMRI v1.4 | MRIquidance B.V. | K221762 |
This predicate has not been subject to a design-related recall. No reference devices were used in this submission.
5.8 Device Description
The BoneMRI application is a standalone image processing software application that analyses 3D gradient echo MRI scans acquired with a dedicated MRI scan protocol. From the analysis, 3D tomographic radiodensity contrast images, called BoneMRI images, are constructed.
The BoneMRI images can be used to visualize the bone structures in MR images with enhanced contrast with respect to the surrounding soft tissue. The application is designed to be used by imaging experts, such as radiologists or orthopedic surgeons, typically in a physician's office.
The BoneMRI application is a server application running on the clinic or hospital networks. It is available as fully on-premise software with specific GPU hardware requirements, or partly running as a managed service, for which the environment in which the managed modules run is controlled by MRIquidance, but the managed service will not receive protected health information (PHI). Within the hospital network, the application communicates with a DICOM compatible imaging archive (e.g., a PACS) to receive input MRI and to return BoneMRI images. Reading of the resulting BoneMRI images is performed using reqular DICOM compatible medical imaging viewing software.
The application uses an algorithm to detect bone images from MRIs obtained using a specific acquisition sequence. The algorithm training sets included information from multiple clinical sites, multiple anatomies, and multiple scanners to ensure that the trained algorithm was robust with respect to the approved indications for use. None of the data used in the training dataset was used subsequently in the validation dataset.
Indications for Use 5.9
BoneMRI is an image processing software that can be used for image enhancement in MRI images. It can be used to visualize the bone structures in MRI images with
{5}------------------------------------------------
Image /page/5/Picture/0 description: The image shows the logo for MRI Guidance. The logo consists of a circle with an arrow pointing up and to the right, followed by the text "MRI" in a larger font and "guidance" in a smaller font. The logo is in a teal color and is set against a dark blue background.
enhanced contrast with respect to the surrounding soft tissue. It is to be used in the pelvic region, which includes the bony anatomy of the sacrum, hip bones, and femoral heads; and the lumbar spine region, which includes the bony anatomy of the vertebrae from L3 to S1. BoneMRI is not to be used for diagnosis or monitoring of (primary or metastatic) tumors.
Warning: BoneMRI images are not intended to replace CT images.
5.10 Comparison of Technological Characteristics with the Predicate Device:
A comparison of the intended use, indication for use, and technological characteristics of the BoneMRI application to the predicate device, BoneMRI v1.4, is presented below. We have included the attributes suggested in FDA's website guidance for this comparison.
A. Intended Use
| Predicate DeviceBoneMRI v1.4 | Subject DeviceBoneMRI | Comment | |
|---|---|---|---|
| Intended Use | BoneMRI is an imageprocessing software that canbe used for imageenhancement in MRIimages. It can be used tovisualize the bone structuresin MRI images withenhanced contrast withrespect to the surroundingsoft tissue. It is to be used inthe pelvic region, whichincludes the bony anatomyof the sacrum, hip bonesand femoral heads; and thelumbar spine region, whichincludes the bony anatomyof the vertebrae from L3 toS1. BoneMRI is not to beused for diagnosis ormonitoring of (primary ormetastatic) tumors.Warning: BoneMRI imagesare not intended to replaceCT images. | BoneMRI is an imageprocessing software that canbe used for imageenhancement in MRIimages. It can be used tovisualize the bone structuresin MRI images withenhanced contrast withrespect to the surroundingsoft tissue. It is to be used inthe pelvic region, whichincludes the bony anatomyof the sacrum, hip bonesand femoral heads; and thelumbar spine region, whichincludes the bony anatomyof the vertebrae from L3 toS1. BoneMRI is not to beused for diagnosis ormonitoring of (primary ormetastatic) tumors.Warning: BoneMRI imagesare not intended to replaceCT images. | The same |
| 21CFR Section | 892.2050 | 892.2050 | The same |
| Product Code | QIH | QIH | The same |
{6}------------------------------------------------
Image /page/6/Picture/0 description: The image shows the logo for MRI guidance. The logo consists of a circle with an arrow pointing to the right and up, followed by the text "MRI guidance". The text is in a sans-serif font and is a lighter shade of blue than the background.
Special 510(k) Notification
| Predicate DeviceBoneMRI v1.4 | Subject DeviceBoneMRI | Comment | |
|---|---|---|---|
| Target Population | Adults | Adults | The same |
B. Technological Characteristics
| Predicate DeviceBoneMRI v1.4 | Subject DeviceBoneMRI | Comment | |
|---|---|---|---|
| Device Nature | Software package | Software package | The same |
| Operating System | Linux | Linux | The same |
| Data input | MRI images in DICOMformat | MRI images in DICOMformat | The same |
| Data output | MRI images in DICOMformat | MRI images in DICOMformat | The same |
| ProcessingAlgorithms | MRIguidance softwareimplements an imageenhancement algorithmusing convolutional neuralnetwork. Original images areenhanced by running themthrough a cascade of filterbanks, where thresholdingand scaling operations areapplied. Separate neuralnetwork-based filters areobtained to assign aHounsfield Unit (HU) valueto a single volume element,based on intensity andcontextual information. Theparameters of the modelwere obtained through analgorithm developmentpipeline. | MRIguidance softwareimplements an imageenhancement algorithmusing convolutional neuralnetwork. Original images areenhanced by running themthrough a cascade of filterbanks, where thresholdingand scaling operations areapplied. Separate neuralnetwork-based filters areobtained to assign aHounsfield Unit (HU) valueto a single volume element,based on intensity andcontextual information. Theparameters of the modelwere obtained through analgorithm developmentpipeline. | The same |
| User Interface | None - enhanced imagesare viewed on existingPACS workstations | None - enhanced imagesare viewed on existingPACS workstations | The same |
| Workflow | The software operates onDICOM files on the filesystem, enhances theimages, and stores theenhanced images on the filesystem. The receipt oforiginal DICOM image filesand delivery of enhancedimages as DICOM files | The software operates onDICOM files on the filesystem, enhances theimages, and stores theenhanced images on the filesystem. The receipt oforiginal DICOM image filesand delivery of enhancedimages as DICOM files | The same |
{7}------------------------------------------------
Image /page/7/Picture/0 description: The image contains the logo for MRI guidance. The logo consists of a circle with an arrow pointing to the upper right inside of it. To the right of the circle are the words "MRI guidance" stacked on top of each other.
| Predicate DeviceBoneMRI v1.4 | Subject DeviceBoneMRI | Comment |
|---|---|---|
| depends on other softwaresystems. Enhanced imagesco-exist with the originalimages. | depends on other softwaresystems. Enhanced imagesco-exist with the originalimages. |
5.11 Performance Data:
BoneMRI conducted the following performance testing:
-
- Software verification and validation testing
-
- Studies that utilized retrospective clinical data to demonstrate the software enhanced imaging quality in MR images via an enhancement of bone.
Software verification and validation testing
Software verification and validation testing were conducted, and documentation was provided as recommended by FDA's Guidance for Industry and FDA Staff, "Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices," dated May 11, 2005.
Performance validation
A quantitative voxel-by-voxel validation of BoneMRI was performed on imaging data from 101 and 103 patients for the pelvic region and lumbar spine region, respectively. The demographics of the patient population are described in the table below.
| Validation data demographics | ||
|---|---|---|
| Anatomy | Pelvic region | Lumbar spine region |
| Number of patients | 101 | 103 |
| Indications | Sacroiliitis, developmental hipdysplasia, avascular necrosisof femoral head and femoralacetabular impingement. | Sacroiliitis, degenerative spinediseases, spondylolisthesis,radiculopathy, spondylosis andspinal fractures. |
| Gender | Male: 73Female: 28 | Male: 49Female: 54 |
| Age | $52 \pm 21$ years | $55 \pm 15$ years |
| Data origin/Ethnicity | USA, Europe, Asia | USA, Europe, Asia |
{8}------------------------------------------------
Image /page/8/Picture/1 description: The image shows the logo for MRI Guidance. The logo consists of a circle with an arrow pointing upwards and to the left, followed by the text "MRI" in a larger font and "guidance" in a smaller font below it. The logo is in shades of blue and teal.
The imaging data consist of the BoneMRI and CT images from the same patient in the same anatomical region, acquired during previously conducted clinical investigations. The validations were conducted by MRIguidance based on an algorithm to detect bone images from MRIs obtained using a specific sequence.
Training and test datasets were selected and maintained to be appropriately independent of one another. All training and validation activities were recorded to ensure independence. In addition, validation was performed on data from independent sites (cross-site validation) to ensure that validation was performed on data from centers that did not provide training data.
The objective was to validate the quantitative accuracy of BoneMRI for the pelvic region and lumbar spine region using rigorous, objective, and unbiased statistical tests comparing bone morphology, radiodensity, and radiodensity contrast in BoneMRI and CT images. Therefore, the endpoints of this testing were the metrics that described the accuracy of 3D bone morphology, radiodensity, and radiodensity contrast versus coregistered CT scans in terms of voxel-by-voxel HUs and standard deviations around these HU values.
The results from the validation testing were compared to the accuracy acceptance criteria, specified below, and were found to fall within the pre-specified acceptance criteria (p<0.05).
The results demonstrate clinically acceptable accuracy on each of these endpoints.
The data provided demonstrate that BoneMRI application can
- o accurately reconstruct the 3D bone morphology with a mean absolute cortical delineation error below 1.0 mm on average;
- accurately reconstructs the tissue radiodensity, with a mean deviation o below 25 HU on average and a mean deviation below 55 HU specifically for bone;
- o accurately reconstructs the tissue radiodensity contrast, with a mean HU correlation coefficient above 0.75 specifically for bone.
CONCLUSION: BoneMRI demonstrates accurate bone morphology, radiodensity, and radiodensity contrast. Thus, BoneMRI is a useful tool to qualitatively and quantitatively assess the pelvic region and the lumbar spine region.
{9}------------------------------------------------
Image /page/9/Picture/1 description: The image shows the logo for MRI guidance. The logo consists of a circle with an arrow pointing to the upper right, followed by the text "MRI" in a larger font and "guidance" in a smaller font. The logo is in shades of blue.
5.12 Conclusions:
The BoneMRI application, based on the indications for use, product performance, and clinical information provided in this notification, have been shown to be substantially equivalent to the currently marketed predicate device, its predecessor, BoneMRI v1.4. The two devices have the same technological characteristics: both algorithms use the same image-based reconstruction, and both methods have optimized parameters to ensure the robustness of the algorithm. This Special 510(k) submission includes information on the BoneMRI technological characteristics, as well as performance data and verification and validation activities demonstrating that BoneMRI is as safe and effective as the predicate and does not raise different questions of safety or effectiveness.
§ 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).