Mathematical Statistician and Engineering Applications ISSN:2094-0343 2326-9865 42 Vol. 72 No.2 (2023) http://philstat.org.ph MRI and CT Scan Data Based Volume Rendering with Python A .V. Krishna Rao Padyala 1 , Dr. K.Ramkumar 2 Research Scholar, Department of CSE SRM University, Sonepat, Delhi-NCR, Haryana Professor and Associate Dean (E&T) SRM University, Sonepat, Delhi-NCR,Haryana Article Info Page Number: 42 - 52 Publication Issue: Vol 72 No. 2 (2023) Article History Article Received: 15 February 2023 Revised: 20 April 2023 Accepted:10 May 2023 Abstract To diagnose a variety of conditions, from torn ligaments to tumors, doctors make use of MRI and CT scans. An application developed using python, installed in a mobile or tablet render the data of MRI and CT scans and let the doctor understand patient health condition. A method for transforming MRI/CT scan data in DICOM form to HDF5 with python. Variety of tools available now to develop android applications for mobile with python. Keywords: - volume rendering; Medical image data;Direct volume rendering ; ray casting; DICOM to HDF5. Introduction Volumetric medical image rendering is a method of extracting meaningful information from a three-dimensional (3D) dataset, allowing disease processes and anatomy to be better understood, both by radiologists as well as physicians and surgeons. Three principle volume- rendering algorithms have been evolved for medical image visualization, i.e., multiplanar reformation (MPR), surface rendering (SR), and volume rendering (VR). Direct rendering includes direct volume rendering (DVR) and direct surface rendering (DSR). Indirect rendering includes indirect surface rendering (ISR). Multiplanar Reformationis an image processing technique, which extracts two-dimensional (2D) slices from a 3D volume using arbitrarily positioned orthogonal or oblique planes. The observer can display a structure of interest in any desired plane within the data set, and four- dimensional (4D) MPR can be performed in real time using graphics hardware. In addition, to accurately visualize tubular structures such as blood vessels, curved MPR 1 may be employed to sample a given artery along a predefined curved anatomic plane. curved MPR was combined with DVR to enhance the visualization of tubular structures 2 such as trachea and colon. Surface rendering is a common method of displaying 3D images. DSR, the surfaces are rendered directlyfrom the volume without intermediate geometric representations, setting thresholds or using object labels to define a range of voxel intensities to be viewed.This is often applied to contrast-enhanced CT data for displaying skeletal and vascular structures 3 ,