Techfit Digital Surgery, Inc. MAPMANI2P TECHFIT

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icobrain is software intended for automatic labeling, visualization and volumetric quantification of segmentable brain structures from a set of MR images.

nordicMEDiVA is a software as a medical device (SaMD) for processing of MR images of the brain. Users will configure analysis pipelines, which are executed automatically when image data is received or manually by a user. The user can choose to send the results to other DICOM nodes for review or use nordicView for their review and export the results to PACS, neuro navigation systems, or other DICOM-compliant modalities.nordicMEDiVA is a server-client solution and can be installed on a local server at the customer's location or in a cloud-based setup. The software is containerized with Docker technology and operates on a GPU-enabled Linux host. This allows customers to manage the server environment themselves or use it as a Software as a Service (SaaS) hosted by NordicImagingLab AS in the cloud. Customers can install the server on physical hardware, virtual machines, or in their own cloud infrastructure.The device comprises a database, DICOM functionality, various APIs, a visualization engine, and medical image analysis modules. The device is not intended for long-term persistent storage of medical diagnostic data.The device incorporates rule-based algorithms for the calculation of metrics from dynamic MRI data. The device does not incorporate AI algorithms based on neural networks.The device connects to other imaging modalities, such as MR scanners, PACS, and surgical navigation systems.

STAGE works as a comprehensive brain imaging post-processing solution. The STAGE system consists of a client supplied dedicated computer with an ethernet connection to the client’s existing local network. The STAGE software will operate within a virtual machine environment (virtual STAGE module) on this dedicated computer. The computer receives DICOM data from a specific MRI 3D GRE scan protocol (i.e., the STAGE protocol) and then outputs back numerous DICOM datasets with different types of contrast to the PACS server. The data transfer is initiated by the user’s current DICOM viewing software. STAGE has been modified from the predicate to include CROWN, a white noise filtering algorithm intended to improve specific STAGE outputs. The following table provide a summary of the methodology for each output with an example image and technical comparison to the predicate.

BIO-COMP CRKSCRW FT VENTD 5.5X14.7MM

BIO-COMP-SITE P-LCK 2.9X15.5MM

SUTR ANCH,CRKSCRW

SCREW, CANN. INT., FULL THREAD

SCRW,CANN. INT.,W/DISP SHTH

TIGHTROPE ABS, BUTTON, 8 X 12 MM

Linet Birthing Bed with Accessories1420748

icobrain is software intended for automatic labeling, visualization and volumetric quantification of segmentable brain structures from a set of MR images.

nordicMEDiVA is a software as a medical device (SaMD) for processing of MR images of the brain. Users will configure analysis pipelines, which are executed automatically when image data is received or manually by a user. The user can choose to send the results to other DICOM nodes for review or use nordicView for their review and export the results to PACS, neuro navigation systems, or other DICOM-compliant modalities.nordicMEDiVA is a server-client solution and can be installed on a local server at the customer's location or in a cloud-based setup. The software is containerized with Docker technology and operates on a GPU-enabled Linux host. This allows customers to manage the server environment themselves or use it as a Software as a Service (SaaS) hosted by NordicImagingLab AS in the cloud. Customers can install the server on physical hardware, virtual machines, or in their own cloud infrastructure.The device comprises a database, DICOM functionality, various APIs, a visualization engine, and medical image analysis modules. The device is not intended for long-term persistent storage of medical diagnostic data.The device incorporates rule-based algorithms for the calculation of metrics from dynamic MRI data. The device does not incorporate AI algorithms based on neural networks.The device connects to other imaging modalities, such as MR scanners, PACS, and surgical navigation systems.

STAGE works as a comprehensive brain imaging post-processing solution. The STAGE system consists of a client supplied dedicated computer with an ethernet connection to the client’s existing local network. The STAGE software will operate within a virtual machine environment (virtual STAGE module) on this dedicated computer. The computer receives DICOM data from a specific MRI 3D GRE scan protocol (i.e., the STAGE protocol) and then outputs back numerous DICOM datasets with different types of contrast to the PACS server. The data transfer is initiated by the user’s current DICOM viewing software. STAGE has been modified from the predicate to include CROWN, a white noise filtering algorithm intended to improve specific STAGE outputs. The following table provide a summary of the methodology for each output with an example image and technical comparison to the predicate.