نتایج جستجو برای: synthetic mr

تعداد نتایج: 205485  

Journal: :Proceedings of SPIE--the International Society for Optical Engineering 2013
Yundi Shi Gwendoline Roger Clement Vachet François Budin Eric Maltbie Audrey R. Verde Marion Hoogstoel Jean-Baptiste Berger Martin Styner

Fiber tracking provides insights into the brain white matter network and has become more and more popular in diffusion MR imaging. Hardware or software phantom provides an essential platform to investigate, validate and compare various tractography algorithms towards a "gold standard". Software phantoms excel due to their flexibility in varying imaging parameters, such as tissue composition, SN...

2015
Q. Mahmood A. Chodorowski

This paper presents a novel fully automated unsupervised framework for the brain tissue segmentation in magnetic resonance (MR) images. The framework is a combination of Bayesian-based adaptive mean shift, a priori spatial tissue probability maps and fuzzy c-means. Mean shift is employed to cluster the tissues in the joint spatial-intensity feature space and then a fuzzy c-means is applied with...

2017
Christina Andica Akifumi Hagiwara Misaki Nakazawa Kanako K Kumamaru Masaaki Hori Mitsuru Ikeno Toshiaki Shimizu Shigeki Aoki

1Department of Radiology, Juntendo University School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo 113-8421, Japan 2Department of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan 3Department of Radiological Sciences, Graduate School of Human Health Sciences, Tokyo Metropolitan University, Tokyo, Japan 4Department of Pediatrics, Juntendo University School of Medicine, T...

Journal: :Medical image analysis 2009
Marcel Prastawa Elizabeth Bullitt Guido Gerig

Obtaining validation data and comparison metrics for segmentation of magnetic resonance images (MRI) are difficult tasks due to the lack of reliable ground truth. This problem is even more evident for images presenting pathology, which can both alter tissue appearance through infiltration and cause geometric distortions. Systems for generating synthetic images with user-defined degradation by n...

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