Segmentation of Intracranial Vessels and Aneurysms in Phase Contrast Magnetic Resonance Angiography Using Multirange Filters and Local Variances
نویسندگان
چکیده
منابع مشابه
Automatic Segmentation of Intracranial Arteries in 4-Dimensional Phase Contrast Magnetic Resonance Angiography
The development of a highly effective phase-contrast magnetic resonance imaging (PC-MRI) technique named phase-contrast vastly undersampled isotropic projection reconstruction (PC-VIPR) has improved the ability to image blood flow in the brain. The technique allows for the acquisition of temporally resolved volume images with high spatial resolution. Utilizing these improvements is of importanc...
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Zulejha Merhemic1, Haris Pandza2, Majda M. Thurnher3 Clinical Centre of University of Sarajevo, Bosnia and Herzegovina1 Medical faculty, University of Sarajevo, Bosnia and Herzegovina2 Medical University of Vienna, Austria3 bleeding from the ruptured aneurysms, which is described as complications of conventional angiography. The patient is not exposed to radiation and no iodine contrast is give...
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Segmentation of vessels and brain aneurysms on non-invasive and flow-sensitive phase contrast magnetic resonance angiographic (PCMRA) images is essential in the detection of vascular diseases, in particular, intracranial aneurysms. In this paper, we devise a novel method based on multi-range filters and local variances to perform segmentation of vessels and intracranial aneurysms on PCMRA image...
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15 صفحه اولDetection and characterization of intracranial aneurysms: magnetic resonance angiography versus digital subtraction angiography.
OBJECTIVE To compare magnetic resonance angiography (MRA) with Intra-arterial digital subtraction angiography (IA-DSA) in detection and characterization of intracranial aneurysms. STUDY DESIGN Comparative cross-sectional study. PLACE AND DURATION OF STUDY Department of Diagnostic Imaging, Lahore General Hospital, Lahore, from January to June 2007. METHODOLOGY Thirty patients presented wit...
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ژورنال
عنوان ژورنال: IEEE Transactions on Image Processing
سال: 2013
ISSN: 1057-7149,1941-0042
DOI: 10.1109/tip.2012.2216274