Interactive 3-dimensional segmentation of MRI data in personal computer environment.

Abstract:

:We describe a method of interactive three-dimensional segmentation and visualization for anatomical magnetic resonance imaging (MRI) data in a personal computer environment. The visual feedback necessary during 3-D segmentation was provided by a ray casting algorithm, which was designed to allow users to interactively decide the visualization quality depending on the task-requirement. Structures such as gray matter, white matter, and facial skin from T1-weighted high-resolution MRI data were segmented and later visualized with surface rendering. Personal computers with central processing unit (CPU) speeds of 266, 400, and 700 MHz, were used for the implementation. The 3-D visualization upon each execution of the segmentation operation was achieved in the order of 2 s with a 700 MHz CPU. Our results suggest that 3-D volume segmentation with semi real-time visual feedback could be effectively implemented in a PC environment without the need for dedicated graphics processing hardware.

journal_name

J Neurosci Methods

authors

Yoo SS,Lee CU,Choi BG,Saiviroonporn P

doi

10.1016/s0165-0270(01)00470-8

subject

Has Abstract

pub_date

2001-11-15 00:00:00

pages

75-82

issue

1

eissn

0165-0270

issn

1872-678X

pii

S0165-0270(01)00470-8

journal_volume

112

pub_type

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