- The goal of 3-D visualization is to provide the user with an intuitive interface which enables him to explore the 3-D data. The rapid development in information technology has immensely contributed to the use of modern approaches for visualizing volumetric data. Consequently, medical volume visualization is increasingly attracting attension towards achieving an effective visualization algorithm for medical diagnosis and pre-treatment planning. Previously, research has been addressing implementation of algorithm that can visualize 2-D images into 3-D. Meanwhile, in medical diagnosis, finding the exact diseases location is an important step of surgery / disease management. For 3-D Medical Data, Magnetic Resonance Images (MRI) have been used to create the 3D model, we used the Direct Volume Rendering technique. This paper proposes a ray casting algorithm for accurate allocation and localization of human abdomen abnormalities using magnetic resonance images (Abdomen MRI) of normal and abnormal patients.
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Ghobadi, M., & Azimzadeh Irani, A. (2021). Ray Casting Based Volume Rendering of Medical Images. Global Analysis and Discrete Mathematics, 6(1), 83-98. doi: 10.22128/gadm.2021.394.1041
MLA
Maryam Ghobadi; Arash Azimzadeh Irani. "Ray Casting Based Volume Rendering of Medical Images". Global Analysis and Discrete Mathematics, 6, 1, 2021, 83-98. doi: 10.22128/gadm.2021.394.1041
HARVARD
Ghobadi, M., Azimzadeh Irani, A. (2021). 'Ray Casting Based Volume Rendering of Medical Images', Global Analysis and Discrete Mathematics, 6(1), pp. 83-98. doi: 10.22128/gadm.2021.394.1041
VANCOUVER
Ghobadi, M., Azimzadeh Irani, A. Ray Casting Based Volume Rendering of Medical Images. Global Analysis and Discrete Mathematics, 2021; 6(1): 83-98. doi: 10.22128/gadm.2021.394.1041
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