(262 days)
Not Found
No
The description focuses on a core noise reduction algorithm based on regularization and data fidelity constraints, which are traditional image processing techniques, not explicitly AI/ML. There is no mention of training data or models.
No.
The device is an image processing software designed to reduce noise in CT images, which assists in image interpretation rather than directly treating a disease or condition.
No
This device is an image processing software that enhances CT images by reducing noise; it does not provide a diagnosis or aid in diagnosis. Its purpose is to improve the quality of images for human review.
Yes
The device is explicitly described as "image processing software" and its function is solely to process existing CT images. The description of its installation and interaction with host/PACS systems confirms it operates as a software component without any associated hardware being part of the device itself.
Based on the provided information, this device is not an IVD (In Vitro Diagnostic).
Here's why:
- IVD Definition: In vitro diagnostics are tests performed on samples taken from the human body, such as blood, urine, or tissue, to detect diseases, conditions, or infections.
- Device Function: The Zia™ Image Enhancement System is described as image processing software that reduces noise in CT images. It operates on medical images acquired from a CT scanner, not on biological samples.
- Intended Use: The intended use is to enhance CT images for improved visualization, not to perform a diagnostic test on a biological sample.
- Input: The input is DICOM images from a CT scanner, not biological specimens.
The device falls under the category of medical image processing software, which is distinct from in vitro diagnostics.
N/A
Intended Use / Indications for Use
Zia™ Image Enhancement System is an image processing software that can be used for reducing noise in CT images. Enhanced images will be uploaded back to host/PACS systems and exist in conjunction to the original images. Zia™ is not intended for mammography applications. The device processing is not effective for lesion, mass, or abnormalities of sizes less than 2mm.
Product codes
LLZ
Device Description
Zia™ Image Enhancement System is an image processing software that can be used for reducing noise in CT images. Zia™ image enhancement software is based on a core noise reduction algorithm that reduces noise in flat regions via a regularization process while keeping the edges via data fidelity constrains. The software, which is installed on a remote computer, receives DICOM images from CT host computer (Zia DICOM node needs to be configured on the scanner), automatically processes the received images and uploads the post processed images back on to the host computer and/or other PACS systems. Enhanced images exist in conjunction to the original images.
Mentions image processing
Yes
Mentions AI, DNN, or ML
Not Found
Input Imaging Modality
DICOM
Anatomical Site
Not Found
Indicated Patient Age Range
Not Found
Intended User / Care Setting
Not Found
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
Zia™ has been designed, verified and validated in compliance with FDA 21 CFR Part 820 requirements. The device has been validated through the use of ACR CT PHANTOM (Model 464) on a GE BrightSpeed 4-Slice, Siemens Sensation 16-Slice and Philips Brilliance 64-Slice scanners. Original images were acquired using a Head 120KV, Head 80KV, and Body 120KV protocols respectively. For each protocol, three mAs were selected in the range of 150-350mAs (150mAs, 250mAs, 350mAs), and three slice thickness were selected in the range of 1.25-5mm (1.25mm, 2.5mm, 5mm). All original images were reconstructed using filtered back projection, standard kernel, and matrix size of 512x512. A total of 81 datasets were processed and analyzed including noise, CT# (signal), low contrast resolution and high contrast resolution. CT# was measured as an average of pixel values of each ROI encompassing the four inserts (Acrylic, Bone, Polyethylene and Air) in the CT# module. Noise was measured as standard deviation of pixel values of an ROI placed at the center of the noise module as well as the four ROIs encompassing the four inserts.
Summary of Performance Studies (study type, sample size, AUC, MRMC, standalone performance, key results)
Device validation study. The device has been validated through the use of ACR CT PHANTOM (Model 464) on a GE BrightSpeed 4-Slice, Siemens Sensation 16-Slice and Philips Brilliance 64-Slice scanners. A total of 81 datasets were processed and analyzed. The results demonstrated that the system meets all defined specifications. A noise reduction of at-least 10% while maintaining CT# accuracy within +/-1HU indicates that the device is able to increase signal to noise ratio in the processed images.
Key Metrics (Sensitivity, Specificity, PPV, NPV, etc.)
Noise reduction of at-least 10%; CT# (signal) accuracy within +/- 1.0 HU.
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/1 description: The image shows the logo for the U.S. Department of Health & Human Services. The logo is a circular seal with the words "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA" around the perimeter. Inside the circle is a stylized image of three human profiles facing to the right, stacked on top of each other.
Food and Drug Administration 10903 New Hampshire Avenue Document Control Center - WO66-G609 Silver Spring, MD 20993-0002
December 15, 2016
Zetta Medical Technologies, LLC. % Mr. Main Ghazal President 1313 Ensell Road LAKE ZURICH IL 60047
Re: K160852 Trade/Device Name: Zia™ Regulation Number: 21 CFR 892.2050 Regulation Name: Picture archiving and communications system Regulatory Class: II Product Code: LLZ Dated: November 4, 2016 Received: November 4, 2016
Dear Mr. Ghazal:
We have reviewed your Section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food. Drug. and Cosmetic Act (Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. 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 (reporting of medical device-related adverse events) (21 CFR 803); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820); and if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
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If you desire specific advice for your device on our labeling regulation (21 CFR Part 801), please contact the Division of Industry and Consumer Education at its toll-free number (800) 638 2041 or (301) 796-7100 or at its Internet address
http://www.fda.gov/MedicalDevices/Resourcesfor You/Industry/default.htm. 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
http://www.fda.gov/MedicalDevices/Safety/ReportaProblem/default.htm for the CDRH's Office of Surveillance and Biometrics/Division of Postmarket Surveillance.
You may obtain other general information on your responsibilities under the Act from the Division of Industry and Consumer Education at its toll-free number (800) 638-2041 or (301) 796-7100 or at its Internet address
http://www.fda.gov/MedicalDevices/ResourcesforYou/Industry/default.htm.
Sincerely yours.
Michael O'Hara
For
Robert Ochs, Ph.D. Director Division of Radiological Health Office of In Vitro Diagnostics and Radiological Health Center for Devices and Radiological Health
Enclosure
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Indications for Use
510(k) Number (if known) K160852
Device Name Zia™м
Indications for Use (Describe)
Zia™ Image Enhancement System is an image processing software that can be used for reducing noise in CT images. Enhanced images will be uploaded back to host/PACS systems and exist in conjunction to the original images. Zia™ is not intended for mammography applications. The device processing is not effective for lesion, mass, or abnormalities of sizes less than 2mm.
| 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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510(k) Summary of Safety and Effectiveness
This 510(k) summary of safety and effectiveness is being submitted in accordance with the requirement of Titles 21 CFR §807.87 and 807.92.
1. Applicant & Submitted By:
Zetta Medical Technologies, LLC. 1313 Ensell Road, Lake Zurich, IL 60047 Phone: (847) 550-9990 Fax: (847) 550-9994 Contact Person: Main M. Ghazal, President Date Prepared: November 2nd 2016
2. Identification of the Device:
Trade Name: Zia™ Common Name: Image Enhancement System Classification Name: Image Processing System, Radiological (21 CFR, 892.2050, LLZ) Regulatory Description: Picture Archiving and Communications System
3. Predicate Device:
Context Vision Sharp View Image Enhancement System, K024028
4. Indications for Use:
Zia™ Image Enhancement System is an image processing software that can be used for reducing noise in CT images. Enhanced images will be uploaded back to host/PACS systems and exist in conjunction to the original images. Zia™ is not intended for mammography applications. The device processing is not effective for lesion, mass, or abnormalities of sizes less than 2mm.
5. Device Description:
Zia™ Image Enhancement System is an image processing software that can be used for reducing noise in CT images. Zia™ image enhancement software is based on a core noise reduction algorithm that reduces noise in flat regions via a regularization process while keeping the edges via data fidelity constrains. The software, which is installed on a remote computer, receives DICOM images from CT host computer (Zia DICOM node needs to be configured on the scanner), automatically processes the received images and uploads the post processed images back on to the host computer and/or other PACS systems. Enhanced images exist in conjunction to the original images.
6. Substantial Equivalence Table
The subject device Zia™ is substantially equivalent to the predicate device, Sharp View Image Enhancement System, which is also used for image enhancement. The main difference is that Sharp View Image Enhancement System is multimodality image transfer/storage/enhancement system where as Zia (as of 10/27/2016) is strictly a CT
4
image enhancement system. Detailed differences between Zia and Sharp view systems are listed in Table-1.
| Characteristics | Zia™ | Sharp View Image Enhancement System |
|---|---|---|
| Indications for Use | Zia™ Image Enhancement | |
| System is an image | ||
| processing software that | ||
| can be used for reducing | ||
| noise in CT images. | ||
| Enhanced images will be | ||
| uploaded back to | ||
| host/PACS systems and | ||
| exist in conjunction to the | ||
| original images. Zia™ is | ||
| not intended for | ||
| mammography | ||
| applications. The device | ||
| processing is not effective | ||
| for lesion, mass, or | ||
| abnormalities of sizes less | ||
| than 2mm. | The Image Enhancement | |
| System is intended for use by a | ||
| qualified/trained technologist | ||
| for transfer, storage, | ||
| enhancement and viewing of | ||
| multi-modality images. | ||
| Computer | ||
| Operating System | PC or PC Compatible | |
| Windows 7 | PC compatible | |
| Windows 98, NT 4.0, 2000 and | ||
| XP | ||
| Storage | Is not a primary image | |
| storage system. However, | ||
| processed images are | ||
| achieved on local hard | ||
| drive | Hard disk or any compatible PC | |
| method: Optical, CDROM, Tape | ||
| Image Processing | ||
| Hardware | CUDA supported graphics | |
| card or Equivalent | Javelin (PCI-bus) or Similar | |
| Software core | Zia™ Image Enhancement | |
| Software | ||
| (Zetta's own trademark) | GOP® Enhancement software | |
| (The GOP trademark is the | ||
| property of Context Vision) | ||
| Image Input | DICOM | DICOM |
| Image output | DICOM | DICOM |
Table -1: Zia vs Sharp View Image Enhancement System
7. Performance Testing:
Zia™ has been designed, verified and validated in compliance with FDA 21 CFR Part 820 requirements. The device has been validated through the use of ACR CT PHANTOM (Model 464) on a GE BrightSpeed 4-Slice, Siemens Sensation 16-Slice and Philips Brilliance 64-Slice scanners. Original images were acquired using a Head 120KV, Head 80KV, and Body 120KV protocols respectively. For each protocol, three mAs were selected in the range of 150-350mAs (150mAs, 250mAs, 350mAs), and three slice thickness were
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selected in the range of 1.25-5mm (1.25mm, 2.5mm, 5mm). All original images were reconstructed using filtered back projection, standard kernel, and matrix size of 512x512. A total of 81 datasets were processed and analyzed including noise, CT# (signal), low contrast resolution and high contrast resolution. CT# was measured as an average of pixel values of each ROI encompassing the four inserts (Acrylic, Bone, Polyethylene and Air) in the CT# module. Noise was measured as standard deviation of pixel values of an ROI placed at the center of the noise module as well as the four ROIs encompassing the four inserts. The results demonstrated that the system meets all defined specifications. Table-2 below summarizes the performance test results. A noise reduction of at-least 10% while maintaining CT# accuracy within +/-1HU indicates that the device is able to increase signal to noise ratio in the processed images.
| Protocol | Expected | Scanners used for | Observed | Test result |
|---|---|---|---|---|
| parameters | outcome | testing | outcome | |
| 120kV, Head, | ||||
| mAs in range | ||||
| of 150-350, | ||||
| slice thickness | ||||
| in range of | ||||
| 1.25-5mm | Reduces | |||
| noise in the | ||||
| processed | ||||
| images by at | ||||
| least 10%; | ||||
| keeps CT # | ||||
| (signal) | ||||
| accuracy | ||||
| within +/- | ||||
| 1.0HU and | ||||
| maintains | ||||
| (preserves) | ||||
| high and low | ||||
| contrast | ||||
| resolutions. | GE BrightSpeed 4; | |||
| Siemens Sensation | ||||
| 16; | ||||
| Philips Brilliance 64 | Reduced | |||
| noise in the | ||||
| processed | ||||
| images by at | ||||
| least 10%; | ||||
| kept CT # | ||||
| (signal) | ||||
| accuracy | ||||
| within +/- | ||||
| 1.0HU and | ||||
| maintained | ||||
| (preserved) | ||||
| high and low | ||||
| contrast | ||||
| resolutions. | PASS | |||
| 80kV, Head, | ||||
| mAs in range | ||||
| of 150-350, | ||||
| slice thickness | ||||
| in range of | ||||
| 1.25-5mm | Reduces | |||
| noise in the | ||||
| processed | ||||
| images by at | ||||
| least 10%; | ||||
| keeps CT # | ||||
| (signal) | ||||
| accuracy | ||||
| within +/- | ||||
| 1.0HU and | ||||
| maintains | ||||
| (preserves) | ||||
| high and low | ||||
| contrast | ||||
| resolutions. | GE BrightSpeed 4; | |||
| Siemens Sensation | ||||
| 16; | ||||
| Philips Brilliance 64 | Reduced | |||
| noise in the | ||||
| processed | ||||
| images by at | ||||
| least 10%; | ||||
| kept CT # | ||||
| (signal) | ||||
| accuracy | ||||
| within +/- | ||||
| 1.0HU and | ||||
| maintained | ||||
| (preserved) | ||||
| high and low | ||||
| contrast | ||||
| resolutions. | PASS | |||
| 120kV, Body, | ||||
| mAs in range | Reduces | |||
| noise in the | GE BrightSpeed 4; | Reduced | ||
| noise in the | PASS |
Table -2: Zia Performance Test Results Summary
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| of 150-350,
slice thickness
in range of
1.25-5mm | processed
images by at
least 10%;
keeps CT #
(signal)
accuracy
within +/-
1.0HU and
maintains
(preserves)
high and low
contrast
resolutions. | Siemens Sensation 16;
Philips Brilliance 64 | processed
images by at
least 10%;
kept CT #
(signal)
accuracy
within +/-
1.0HU and
maintained
(preserved)
high and low
contrast
resolutions. |
| ----------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------ | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
|---|
8. Safety and Effectiveness:
Based on the software test results and the information supplied in this 510(k), we conclude that this device is safe, effective, and substantially equivalent to the predicate devices.
9. Conclusion:
Zia™ is an image enhancement software which has similar indications for use as predicate device. The main difference is that the predicate device is a multimodality image transfer/storage/enhancement system where as Zia (as of 10/27/2016) is strictly a CT image enhancement system. Performance testing, along with verification and validation activities demonstrate that Zia™ is as safe and effective as predicate device.