Thursday 28th of March 2024
 

Visualization and Reconstruction of Real Medical Image using CUDA and GPGPU


Fajar Agung Nugroho, Erika Devi Udayanti and Candra Irawan

Medical images that is captured from CT-Scan machine are formatted on high resolution and often consist of hundreds of files per case per subject that is scanned. Each of these files are two dimensional (2D) image. Analyzing medical data in three dimensional (3D) model sometime is compulsory. However the transformation of these medical data from 2D into 3D took hundreds of seconds to minutes, even executed with modern CPU. The challenge of parallel process in this transformation is opened for all researcher in order to speed up the execution time. Among other 3D transformation image, Marching Cube (MC) algorithm is having its popularity. This is happened to the fact that MCs potential to be run in parallel. Graphical Processing Unit (GPU) currently has being utilize as General Purpose Processing GPU (GPGPU). NVIDIA as one of GPU producer has equip their device with Compute Unified Device Architecture (CUDA) as its parallel computing platform and programming model. This paper presents a framework to visualize 3D model of real medical data harnessing nVidia CUDA SDK on Marching Cube algorithm. The validation of the framework is provided using real medical data that was given by Dr. Kariadi General Hospital Medical Center of Semarang City. Finally, the speedup of execution time also presented at the end of this paper.

Keywords: Real Medical Image, Marching Cubes, CUDA, GPU

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ABOUT THE AUTHORS

Fajar Agung Nugroho
Dian Nuswantoro University

Erika Devi Udayanti
Dian Nuswantoro University

Candra Irawan
Dian Nuswantoro University


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