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Titlebook: Information Processing in Medical Imaging; 19th International C Gary E. Christensen,Milan Sonka Conference proceedings 2005 Springer-Verlag

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書目名稱Information Processing in Medical Imaging
副標題19th International C
編輯Gary E. Christensen,Milan Sonka
視頻videohttp://file.papertrans.cn/466/465154/465154.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Information Processing in Medical Imaging; 19th International C Gary E. Christensen,Milan Sonka Conference proceedings 2005 Springer-Verlag
描述The nineteenth biennial International Conference on Information Processing in Medical Imaging (IPMI) was held July 11–15, 2005 in Glenwood Springs, CO, USA on the Spring Valley campus of the Colorado Mountain College. Following the successful meeting in beautiful Ambleside in England, this year’s conference addressed important recent developments in a broad range of topics related to the acquisition, analysis and application of biomedical images. Interest in IPMI has been steadily growing over the last decade. This is p- tially due to the increased number of researchers entering the ?eld of medical imagingasaresultoftheWhitakerFoundationandtherecentlyformedNational Institute of Biomedical Imaging and Bioengineering. This year, there were 245 full manuscripts submitted to the conference which was twice the number s- mitted in 2003 and almost four times the number of submissions in 2001. Of these papers, 27 were accepted as oral presentations, and 36 excellent subm- sions that could not be accommodated as oral presentations were presented as posters. Selection of the papers for presentation was a di?cult task as we were unable to accommodate many of the excellent papers submitted thi
出版日期Conference proceedings 2005
關(guān)鍵詞Active Appearance Model; Active Shape Model; Interpolation; brain imaging; computed tomography (CT); fmri
版次1
doihttps://doi.org/10.1007/b137723
isbn_softcover978-3-540-26545-0
isbn_ebook978-3-540-31676-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2005
The information of publication is updating

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Maximum Entropy Spherical Deconvolution for Diffusion MRIthe method to reconstruct the distribution of microstructural fibre orientations from diffusion MRI measurements. Analysis shows that the PASMRI algorithm, one of the most accurate diffusion MRI reconstruction algorithms in the literature, is a special case of the maximum entropy spherical deconvolu
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CLASSIC: Consistent Longitudinal Alignment and Segmentation for Serial Image Computingims at obtaining accurate measurements of rates of change of regional and global brain volumes from serial MR images. The algorithm incorporates image-adaptive clustering, spatiotemporal smoothness constraints, and image warping to jointly segment a series of 3-D MR brain images of the same subject
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Robust Active Appearance Model Matchingstered by a non parametric mean shift mode detection step. Second, modes without gross outliers are selected using an objective function. Robustness of the matching procedure is demonstrated on a variety of examples with different noise conditions. The proposed algorithm outperformed the conventiona
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