Extraction of functional volumes from medical dynamic volumetric data sets

被引：28
|
作者：
Frouin, F. [1 ]
Cinotti, L. [1 ]
Benali, H. [1 ]
Buvat, I. [1 ]
Bazin, J.-P. [1 ]
Millet, P. [1 ]
Di Paola, R. [1 ]
机构：
[1] U66 INSERM, Institut Gustave-Roussy 39, rue C. Desmoulins, 94805 Villejuif Cedex, France
来源：
Computerized Medical Imaging and Graphics | 1993年 / 17卷 / 4-5期
关键词：
Algorithms - Data processing - Estimation - Image analysis - Image processing - Mathematical models - Medical applications - Physiological models - Positron emission tomography - Three dimensional - Volume measurement;
D O I：
10.1016/0895-6111(93)90034-K
中图分类号：
学科分类号：
摘要：
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.
引用
收藏
页码：397 / 404
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