Multiple Ways for Medical Data Visualization Using 3D Slicer

Computers can process large amounts of data. Medical practitioners can deliver better services and provide more accurate diagnoses and treatment regimens to patients. This document described how 3D Slicer allows Command Line Interface (CLI), Python, Jupyter, and MATLAB in software to process medial data. 3D Slicer has become useful software worldwide since 1997, especially in the medical field for preoperative visualization and analysis. Today, 3D Slicer is supported by The National Alliance for Medical Imaging Computing (NA-MIC), Neuroimaging Analysis Center (NAC), Biomedical Informatics Research Network (BIRN), The National Center for Image-Guided Therapy (NCIGT), The Harvard Clinical and Translational Science Center (CTSC), and the Slicer Community worldwide as a platform to develop new ideas. In this paper, we demonstrate our knowledge in using the 3D Slicer software.