Title :
A minimum cross-entropy type algorithm including a model of the object
Author :
de Souza, R.M.C.
Abstract :
Summary form only given, as follows. A minimum cross-entropy type algorithm including the a priori knowledge of the project-in the form of a model-is proposed for application in computerized tomography. This algorithm deals with incomplete projection or limited angle data. To obtain the MIDINMOD (minimum divergence with a normalized model) the cross-entropy functional is minimized using as a priori distribution a normalized model of the object. The performance has been compared with that of the MENT and EXTEND MENT algorithms
Keywords :
computerised tomography; EXTEND MENT algorithms; a priori distribution; computerized tomography; incomplete projection; limited angle data; minimum cross-entropy type algorithm; minimum divergence; normalized model; object; performance; Application software; Computational modeling; Computed tomography;
Conference_Titel :
Nuclear Science Symposium and Medical Imaging Conference, 1992., Conference Record of the 1992 IEEE
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-0884-0
DOI :
10.1109/NSSMIC.1992.301050
