TRACKING OF CEREBRAL VESSELS IN MR-ANGIOGRAPHY AFTER HIGHPASS FILTERING

被引：10

作者：

KLOSE, U

PETERSEN, D

MARTOS, J

机构：

[1] Department of Neuroradiology, University of Tübingen

[2] National Institute for Neurosurgery, Budapest

来源：

MAGNETIC RESONANCE IMAGING | 1995年 / 13卷 / 01期

关键词：

MAGNETIC RESONANCE ANGIOGRAPHY (MRA); MAXIMUM INTENSITY PROJECTION (MIP); CEREBRAL VESSELS; HIGHPASS FILTERING;

D O I：

10.1016/0730-725X(94)00095-K

中图分类号：

R8 [特种医学]; R445 [影像诊断学];

学科分类号：

1002 ; 100207 ; 1009 ;

摘要：

Maximum intensity projection (MIP), the commonly used technique for calculating MR-angiograms from three-dimensional (3D) datasets, often fails to visualize small vessels due to superposition of background signal. An improved vascular depiction can be reached by application of a connectivity algorithm, but a very good delimitation of vessel signals from signals of stationary tissue is required for this technique. Results of intracranial vessel tracking could be improved by a 3D interpolation and a preceding highpass filtering of the 3D image dataset.

引用

页码：45 / 51

页数：7

共 19 条

[1]

Laub, Kaiser, MR angiography with gradient motion refocusing, J. Comput. Assit. Tomogr., 12, pp. 377-382, (1988)

[2]

Laub, Displays for MR angiography, Magn. Reson. Med., 12, pp. 222-229, (1990)

[3]

Tsuruda, Saloner, Norman, Artifacts associated with MR neuroangiography, AJNR, 13, pp. 1411-1422, (1992)

[4]

Klose, Petersen, Detaildarstellung von Gefäßen in der MR-Angiographie durch Projektionen aus irregulär begrenzten Datensätzen, Fortschr. Röntgenstr., 156, pp. 482-486, (1992)

[5]

Saloner, Hanson, Tsuruda, van Tyen, Anderson, Lee, Application of connectedvoxel algorithm to MR angiographic data, J. Magn. Reson. Imaging, 1, pp. 423-430, (1991)

[6]

Cline, Dumoulin, Hart, Lorensen, Ludke, 3D reconstruction of the brain from magnetic resonance image using a connectivity algorithm, Magn. Reson. Imaging, 5, pp. 345-352, (1987)

[7]

Cline, Lorensen, Kikinis, Jolesz, Three-dimensional segmentation of MR-images of the head using probability and connectivity, J. Comput. Assist. Tomogr., 14, pp. 1037-1045, (1990)

[8]

Hu, Alperin, Levin, Tan, Mengeot, Visualization of MR angiographic data with segmentation and volume-rendering techniques, Journal of Magnetic Resonance Imaging, 1, pp. 539-546, (1992)

[9]

Cline, Dumoulin, Lorensen, Souza, Adams, Volume rendering and connectivity algorithm for MR angiography, Magn. Reson. Med., 18, pp. 384-394, (1991)

[10]

Siebert, Rosenbaum, Pernicone, Automated segmentation and presentation algorithms for 3D MR angiography, Book of abstracts: Tenth Annual Meeting of the Society of Magnetic Resonance in Medicine, (1991)

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