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      3D Regularisation and Segmentation of Factor Volumes to Process PET H2 15O Myocardial Perfusion Studies

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          Spatial regularization applied to factor analysis of medical image sequences (FAMIS)

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            Extraction of functional volumes from medical dynamic volumetric data sets.

            A method based on factor analysis is presented to process dynamic volumetric (t + 3D) data sets acquired for flow, excretion, or metabolic studies. It estimates a reduced number of underlying physiological kinetics and their associated spatial distributions, corresponding to functional volumes, using dedicated algorithms. The global (t + 3D) approach is shown to be superior to the conventional one, which repeats estimations on each (t + 2D) data set, obtained for each slice or projection of the volume.
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              Statistical distribution of factors and factor images in factor analysis of medical image sequences

               I Buvat,  H Benali,  R. Paola (1998)
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                Author and book information

                Book
                978-3-540-42861-9
                978-3-540-45572-1
                2001
                October 31 2001
                10.1007/3-540-45572-8
                Book Chapter
                2001
                October 31 2001
                : 91-96
                10.1007/3-540-45572-8_13

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