Robust principal component analysis-based four-dimensional computed tomography
نویسندگان
چکیده
منابع مشابه
Robust principal component analysis-based four-dimensional computed tomography.
The purpose of this paper for four-dimensional (4D) computed tomography (CT) is threefold. (1) A new spatiotemporal model is presented from the matrix perspective with the row dimension in space and the column dimension in time, namely the robust PCA (principal component analysis)-based 4D CT model. That is, instead of viewing the 4D object as a temporal collection of three-dimensional (3D) ima...
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ژورنال
عنوان ژورنال: Physics in Medicine and Biology
سال: 2011
ISSN: 0031-9155,1361-6560
DOI: 10.1088/0031-9155/56/11/002