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Titolo:
An overlap invariant entropy measure of 3D medical image alignment
Autore:
Studholme, C; Hill, DLG; Hawkes, DJ;
Indirizzi:
Yale Univ, Dept Diagnost Radiol & Elect Engn, New Haven, CT 06511 USA YaleUniv New Haven CT USA 06511 ol & Elect Engn, New Haven, CT 06511 USA UnitediMed & Dent Sch Guys & St Thomas Hosp, Guys Hosp, Computat Imaging Sc United Med & Dent Sch Guys & St Thomas Hosp London England SE1 9RT ng Sc
Titolo Testata:
PATTERN RECOGNITION
fascicolo: 1, volume: 32, anno: 1999,
pagine: 71 - 86
SICI:
0031-3203(199901)32:1<71:AOIEMO>2.0.ZU;2-C
Fonte:
ISI
Lingua:
ENG
Soggetto:
VOXEL SIMILARITY MEASURES; REGISTRATION;
Keywords:
multi-modality; 3D medical images; registration criteria; information theory; entropy; mutual information; normalisation;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
13
Recensione:
Indirizzi per estratti:
Indirizzo: Studholme, C Yaleen,iv, Dept Diagnost Radiol & Elect Engn, BML 332,333 Cedar St, New Hav Yale Univ BML 332,333 Cedar St New Haven CT USA 06511 New Hav
Citazione:
C. Studholme et al., "An overlap invariant entropy measure of 3D medical image alignment", PATT RECOG, 32(1), 1999, pp. 71-86

Abstract

This paper is concerned with the development of entropy-based registrationcriteria for automated 3D multi-modality medical image alignment. In this application where misalignment can be large with respect to the imaged field of view, invariance to overlap statistics is an important consideration. Current entropy measures are reviewed and a normalised measure is proposed which is simply the ratio of the sum of the marginal entropies and the joint entropy. The effect of changing overlap on current entropy measures and this normalised measure are compared using a simple image model and experiments on clinical image data. Results indicate that the normalised entropy measure provides significantly improved behaviour over a range of imaged fields of view. (C) 1999 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 31/03/20 alle ore 10:05:28