Visualization of 3-D cerebral vascular tree from magnetic resonance angiography images

Author

Zhongyuan, Qin ; Xuanqin, Mou ; Ping, Wang ; Yuanlong, Cai

Author_Institution

Inst. of Image Process., Xi´´an Jiaotong Univ., China

Volume

2

fYear

2002

fDate

26-30 Aug. 2002

Firstpage

1496

Abstract

This paper presents a general 3-D visualization method of cerebral vascular tree from Magnetic Resonance Angiography (MRA) images. First Gamma value and brightness are modified and each image is turned into binary ones. Then, vessels are extracted by the computation and then adaptive thresholding of region´s areas. We stack the vessels to form 3-D volume data. The result is visualized in ANALYZE after linear interpolation using volume rendering. Satisfactory results to real angiographic data are obtained. It is helpful for analyzing and diagnosing the pathological changes of cerebral vessels.

Keywords

adaptive signal processing; biomedical MRI; blood vessels; brain; brightness; data visualisation; diseases; interpolation; medical image processing; rendering (computer graphics); 3-D cerebral vascular tree visualization; 3-D volume data; ANALYZE; Gamma value; adaptive thresholding; cerebral vessels; linear interpolation; magnetic resonance angiography images; medical diagnostic imaging; pathological changes diagnosis; vessels stacking; volume rendering; Angiography; Brightness; Data mining; Data visualization; Image segmentation; Interpolation; Magnetic analysis; Magnetic resonance; Pathology; Rendering (computer graphics);

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, 2002 6th International Conference on

Print_ISBN

0-7803-7488-6

Type

conf

DOI

10.1109/ICOSP.2002.1180078

Filename

1180078