@inproceedings{5e6d65731f82482f99259762e4bcdaed,
title = "Visualization of 3-D cerebral vascular tree from Magnetic Resonance Angiography images",
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 = "3-D visualization, Cerebral vascular tree, Magnetic Resonance Angiography",
author = "Zhangyuan Qin and Xuanqin Mou and Ping Wang and Yuanlong Cai",
note = "Publisher Copyright: {\textcopyright} 2002 IEEE.; 6th International Conference on Signal Processing, ICSP 2002 ; Conference date: 26-08-2002 Through 30-08-2002",
year = "2002",
doi = "10.1109/ICOSP.2002.1180078",
language = "英语",
series = "International Conference on Signal Processing Proceedings, ICSP",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1496--1499",
editor = "Xiaofang Tang and Baozong Yuan",
booktitle = "ICSP 2002 - 2002 6th International Conference on Signal Processing, Proceedings",
}