MR image segmentation using vector decomposition and probability techniques: a general model and its application to dual-echo images.
作者： Yi-Hsuan Kao , James A. Sorenson , Stefan S. Winkler
关键词: Pattern recognition 、 Voxel 、 Dual echo 、 Segmentation 、 Vector decomposition 、 Artificial intelligence 、 Random noise 、 Image processing 、 Mathematics 、 Computer vision 、 Imaging phantom 、 Mr images
摘要: A general model is developed for segmenting magnetic resonance images using vector decomposition and probability techniques. Each voxel assigned fractional volumes of q tissues from p differently weighted (q < or = + 1) in the presence partial-volume mixing, random noise, other tissues. Compared with eigenimage method, fewer are needed tissues, contrast-to-noise ratio calculated improved. The can produce composite tissue-type similar to that methods, by comparing different on each voxel. three-tissue (p 2, 3) illustrated three dual-echo images. It provides statistical analysis algebraic method. three-compartment phantom segmented validation. Two clinical examples presented.
sci-hub.se 参考文章(37)
M. Jungke, G. Bielke, W. von Seelen, S. Meindl, M. Grigat, H. P. Higer, Using an “Information Manager” as a Component of a Tissue Classification System in NMR Tomography Springer, Berlin, Heidelberg. pp. 139- 144 ,(1990) , 10.1007/978-3-642-74993-3_21
M. Staemmler, P. Barth, R. Brill, H. Wern, K. Gersonde, Comparison of Algorithms for the Decomposition of Multiexponential Relaxation Processes Using SUNRISE Springer, Berlin, Heidelberg. pp. 63- 68 ,(1990) , 10.1007/978-3-642-74993-3_11
Guido Gerig, John Martin, Ron Kikinis, Olaf Kübler, Martha Shenton, Ferenc A. Jolesz, Automating Segmentation of Dual-Echo MR Head Data information processing in medical imaging. pp. 175- 187 ,(1991) , 10.1007/BFB0033752
Yi-Hsuan Kao, James A. Sorenson, Mark M. Bahn, Stefan S. Winkler, Dual‐echo MRI segmentation using vector decomposition and probability techniques: A two‐tissue model Magnetic Resonance in Medicine. ,vol. 32, pp. 342- 357 ,(1994) , 10.1002/MRM.1910320310
Philippe S. Melki, Robert V. Mulkern, Lawrence P. Panych, Ferenc A. Jolesz, Comparing the FAISE method with conventional dual-echo sequences Journal of Magnetic Resonance Imaging. ,vol. 1, pp. 319- 326 ,(1991) , 10.1002/JMRI.1880010310
D N Levin, A Herrmann, T Spraggins, P A Collins, L B Dixon, M A Simon, A E Stillman, Musculoskeletal tumors: improved depiction with linear combinations of MR images. Radiology. ,vol. 163, pp. 545- 549 ,(1987) , 10.1148/RADIOLOGY.163.2.3470828
L.P. Clarke, R.P. Velthuizen, S. Phuphanich, J.D. Schellenberg, J.A. Arrington, M. Silbiger, MRI: Stability of three supervised segmentation techniques Magnetic Resonance Imaging. ,vol. 11, pp. 95- 106 ,(1993) , 10.1016/0730-725X(93)90417-C
Mark A. Gehring, T. Rockwell Mackie, Shrikant S. Kubsad, Bhudatt R. Paliwal, Minesh P. Mehta, Timothy J. Kinsella, A three-dimensional volume visualization package applied to stereotactic radiosurgery treatment planning International Journal of Radiation Oncology*Biology*Physics. ,vol. 21, pp. 491- 500 ,(1991) , 10.1016/0360-3016(91)90801-A
Rae H. Lee, Richard M. Leahy, Multispectral tissue classification of MR images using sensor fusion approaches Medical Imaging '90, Newport Beach, 4-9 Feb 90. ,vol. 1233, pp. 149- 157 ,(1990) , 10.1117/12.18900
Narayan C. Giri, Multivariate statistical analysis ,(2003)