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Conventional model-based or statistical analysis methods for functional MRI (fMRI) suffer from the limitation of the assumed paradigm and biased results. Temporal clustering methods, such as fuzzy clustering, can eliminate these problems but are difficult to find activation occupying a small area, sensitive to noise and initial values, and computationally(More)
BACKGROUND In tuberous sclerosis (TS), tubers usually involve the white matter. Diffusion tensor (DT) images are used to demonstrate white-matter tracts. OBJECTIVE To determine the changes in DT indices in supratentorial tubers and associated changes in the white-matter tracts adjacent to tubers in patients with TS. MATERIALS AND METHODS The DT imaging(More)
The authors have developed an automated algorithm for segmentation of magnetic resonance images (MRI) of the human brain. They investigated the quantitative analysis of tissue-specific human motor response through an approach combining gradient echo functional MRI and automated segmentation analysis. Fifteen healthy volunteers, placed in a 1.5 T clinical MR(More)
PURPOSE The relationship between neoplasm and its surrounding vascular structure is essential to the following clinical treatment plan. In this study, 4D computed tomography angiography (4D-CTA) with a wide scan range and dynamic phases of arteriography and venography was used to describe detailed anatomical information for pre-surgical approaches. (More)
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