- METAIMAGE VOLUME PDF
- METAIMAGE VOLUME SOFTWARE
The dicom-reader operator converts input DICOM data into volume images in MetaImage format format. 
It utilizes built-in reference containers to construct the following set of operators: This pipeline is defined in the Clara Deploy pipeline definition language.
The original and COVID-19 lesion segmentation volumes in MetaImage format to the Clara Deploy Render Server. The original and lung segmentation volumes in MetaImage format to the Clara Deploy Render Server. A new DICOM series of Encapsulated PDF for the COVID-19 lesion to lung ratio results, optionally sent to a DICOM device. A new DICOM series of Encapsulated PDF for the AI classification results, optionally sent to a DICOM device. A new DICOM series for the COVID-19 lesion segmentation image, optionally sent to a DICOM device. A new DICOM series for the lung segmentation image, optionally sent to a DICOM device. COVID-19 lesion segmentation image in MetaImage format. Lung segmentation image in MetaImage format. The pipeline generates the following outputs: The volume images generated by the COVID-19 lesion segmentation operator and the lung segmentation operator are also used to as inputs to a volume ratio metrics operator, which calculates and saves the lesion to lung ratio. In the next step, the original volume image along with the labeled segmentation image are used by the COVID-19 classification operator to infer the probabilities of COVID-19 using the COVID-19 classification model. Each segmentation operator performs inference using its own segmentation AI model, and generates a labeled segmentation as a binary mask on each slice of the volume, with the lung or lung lesion labeled as 1, and the background labeled as 0. This image is then used as the input to two segmentation operators concurrently, the lugn segmentation and the COVID-19 lesion segmentation. Once the DICOM instances are received, the pipeline is triggered to first convert the DICOM instances to a volume image in MetaImage format. A single aixial DICOM series of chest CT scan is the pipeline input, and the final output is the report of the probabilities of COVID-19 and non-COVID-19. A 3D lung segmentation model as well as a 3D classification model are used in this pipeline. 
This reference pipeline is designed to infer the probability of COVID-19 infection with the chest CT scan of a patient.
This research use only software has not been cleared or approved by FDA or any regulatory agency Software’s recommendation should not be solely or primarily relied upon to diagnose or treat COVID-19 by a Healthcare Professional. It is based on a segmentation and classification model developed by NVIDIA researchers in conjunction with the NIH. This inference pipeline was developed by NVIDIA. This asset requires the Clara Deploy SDK. More info Clara Deploy AI COVID-19 Classification PipelineĬAUTION: This is NOT for diagnostics use. Clara Deploy SDK is being consolidated into Clara Holoscan SDK
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