|
|
|
---
|
|
|
|
title: Simple Radiomics Workflow
|
|
|
|
---
|
|
|
|
|
|
|
|
#Description
|
|
|
|
You can use Hero Imaging for medical image processing and create a workflow to extract 165 IBSI (Image Biomarker Standardization Initiative) standardized radiomics features from co-registered computerized tomography (CT), positron emission tomography (PET) or magnetic resonance imaging (MRI) images using the Spaarc Pipeline for Automated Analysis and Radiomics Computing (SPAARC). This example creates a Hero Imaging workflow that extracts radiomic features from CT scan image of a patient diagnosed with soft-tissue sarcoma.
|
|
|
|
A Hero Imaging node is a workflow element that defines a medical image processing procedure between its input and output. To create this radiomics workflow, you will need six Hero Imaging nodes
|
|
|
|
|
|
|
|
| Node name | Workflow Purpose|
|
|
|
|
| DB Import | loads CT image and gross tumour volume (GTV) Contour of a patient diagnosed with soft-tissue sarcoma.|
|
|
|
|
| Contour To Mask | Converts GTV from contours to binary masks format on the reference CT image. |
|
|
|
|
| Get Property | Gets the GTV Mask, associated with the Patient’s CT scan, and at the zero index of the Contour to Mask node’s mask list output. which is associated with the Patient’s CT scan from. |
|
|
|
|
| SPAARC | Extracts Morphological, Intensity-Based Statistics, Intensity Histogram, Intensity-Volume Histogram, Grey Level Co-occurrence Matrix, Grey Level Run Length Matrix, Grey Level Size Zone Matrix, Grey Level Distance Zone Matrix, Neighbourhood Grey Tone Difference Matrix and Neighbourhood Grey Level Dependence Matrix features from region of interest.|
|
|
|
|
| Export to .csv | | Exports the extracted radiomics features to .csv file for storage or further data analysis |
|
|
|
|
| Visualize | Visualises the interpolated image and intensity mask. |
|
|
|
|
|
|
|
|
#Hero Imaging Files
|
|
|
|
[Database file](url)
|
|
|
|
[Workflow file](url)
|
|
|
|
|
|
|
|
|
