Volume Rendering of Human Hand Anatomy
Jingtao Huang, Bohan Wang, Zhiyuan Gao, Mianlun Zheng, George Matcuk,, Jernej Barbic

TL;DR
This paper presents a method for improved volumetric rendering of MRI scans of human hands, focusing on transfer functions to enhance visualization of key tissues and reduce artifacts.
Contribution
It introduces two families of transfer functions tailored for hand tissues and demonstrates their effectiveness in improving visualization over standard methods.
Findings
Enhanced visualization of hand tissues in MRI data.
Reduction of artifacts in volumetric rendering.
Improved interpretability of hand anatomy during motion sequences.
Abstract
We study the design of transfer functions for volumetric rendering of magnetic resonance imaging (MRI) datasets of human hands. Human hands are anatomically complex, containing various organs within a limited space, which presents challenges for volumetric rendering. We focus on hand musculoskeletal organs because they are volumetrically the largest inside the hand, and most important for the hand's main function, namely manipulation of objects. While volumetric rendering is a mature field, the choice of the transfer function for the different organs is arguably just as important as the choice of the specific volume rendering algorithm; we demonstrate that it significantly influences the clarity and interpretability of the resulting images. We assume that the hand MRI scans have already been segmented into the different organs (bones, muscles, tendons, ligaments, subcutaneous fat,…
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Taxonomy
TopicsAnatomy and Medical Technology
MethodsFocus
