Productivity #19: Dicom radiology reports

Productivity #19: Dicom radiology reports

Pdf and text documents are supported as standard radiology reports to be included in the dataset alongside radiology images.

Radiology reports are prepared by radiologists to present the findings in the radiological imaging data like x-Ray, CT, MRI. Ragiologists spend years training skills to read complex radiological images. They use acquired skills and specialized knowledge base to produce detailed information that can be deduced from the imagery captured by magnetic resonance imaging.

Radiology reports are used by physicians to diagnose the pathological condition. Based on the diagnosis a treatment is prescribed by the doctor. For the purposes of machine learning, radiology reports are useful for annotators to identify the pathological condition in the images, create segmentation of the pathology in the images, and classify the pathologies.

Supported Folder Structure

Lets assume "samplenifti" is the top level folder in the file system. "samplenifti" contains folder "study1", "study2".

Folder "study1" has three other folder "series1", "series2", "report"

Folder "series1" has a nifti file. Folder "report" has radiology report file "report.pdf"

|- samplenifti/  

       |- study1/    

       |        |- series1/              

       |        |        |- <nifti file>    

       |        |- series2/              

       |        |        |- <nifti file>

       |        |- report/

       |        |        |- report.pdf

       |- study2/    

       |        |- series1/

       |        |        |- <nifti file>

       |        |- series2/

       |        |        |- <nifti file>

       |        |- report/

       |        |        |- report.txt