کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10337156 | 692595 | 2005 | 18 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
3D multi-scale vessel enhancement filtering based on curvature measurements: application to time-of-flight MRA
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
گرافیک کامپیوتری و طراحی به کمک کامپیوتر
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![عکس صفحه اول مقاله: 3D multi-scale vessel enhancement filtering based on curvature measurements: application to time-of-flight MRA 3D multi-scale vessel enhancement filtering based on curvature measurements: application to time-of-flight MRA](/preview/png/10337156.png)
چکیده انگلیسی
In this paper we evaluate the use of voxel intensity curvature measurements to enhance vessels in 3D MRA images. We compare a multi-scale discrete kernel filter (MaxCurve) to the Hessian matrix based filter proposed by Frangi and co-workers. The MaxCurve filter is based on the maximum difference between the negative curvature computed along orthogonal lines defined by a 3Â ÃÂ 3Â ÃÂ 3 kernel. Filter performance is assessed using measures of vessel and background separation (contrast and the area under the ROC curve). Filter parameters are optimized using a training set of four typical time-of-flight MRA images and tested on a separate set of ten MRA images with the same acquisition parameters. The filters tended to provide good MIP image contrast enhancement. The filters are applied to MRA images acquired with different parameters and field strengths indicating potential usefulness for a variety of images. Overall the discrete kernel and Hessian matrix filter performed quite similarly.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Medical Image Analysis - Volume 9, Issue 3, June 2005, Pages 191-208
Journal: Medical Image Analysis - Volume 9, Issue 3, June 2005, Pages 191-208
نویسندگان
Brian E. Chapman, Dennis L. Parker,