Catalogo Articoli (Spogli Riviste)

OPAC HELP

Titolo:
AUTOMATED IMAGE REGISTRATION - I - GENERAL-METHODS AND INTRASUBJECT, INTRAMODALITY VALIDATION
Autore:
WOODS RP; GRAFTON ST; HOLMES CJ; CHERRY SR; MAZZIOTTA JC;
Indirizzi:
UNIV CALIF LOS ANGELES,SCH MED,DEPT NEUROL,710 WESTWOOD PLAZA,RM 3-145 LOS ANGELES CA 90095 UNIV CALIF LOS ANGELES,SCH MED,DIV BRAIN MAPPING LOS ANGELES CA 90095 UNIV CALIF LOS ANGELES,SCH MED,DEPT PHARMACOL LOS ANGELES CA 90095 UNIV CALIF LOS ANGELES,SCH MED,DEPT RADIOL LOS ANGELES CA 90095 EMORY UNIV,SCH MED,DEPT NEUROL ATLANTA GA 30322 EMORY UNIV,SCH MED,DEPT NUCL MED ATLANTA GA 30322
Titolo Testata:
Journal of computer assisted tomography
fascicolo: 1, volume: 22, anno: 1998,
pagine: 139 - 152
SICI:
0363-8715(1998)22:1<139:AIR-I->2.0.ZU;2-W
Fonte:
ISI
Lingua:
ENG
Soggetto:
MR-IMAGES; BRAIN; PET; INTERPOLATION; ALGORITHM; MOTION;
Keywords:
IMAGE REGISTRATION; MAGNETIC RESONANCE IMAGING; EMISSION COMPUTED TOMOGRAPHY; BRAIN MAPPING;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Science Citation Index Expanded
Citazioni:
22
Recensione:
Indirizzi per estratti:
Citazione:
R.P. Woods et al., "AUTOMATED IMAGE REGISTRATION - I - GENERAL-METHODS AND INTRASUBJECT, INTRAMODALITY VALIDATION", Journal of computer assisted tomography, 22(1), 1998, pp. 139-152

Abstract

Purpose: We sought to describe and validate an automated image registration method (AIR 3.0) based on matching of voxel intensities. Method: Different cost functions, different minimization methods, and various sampling, smoothing, and editing strategies were compared. Internal consistency measures were used to place limits on registration accuracy for MRI data, and absolute accuracy was measured using a brain phantom for PET data. Results: All strategies were consistent with subvoxelaccuracy for intrasubject, intramodality registration. Estimated accuracy of registration of structural MRI images was in the 75 to 150 mu m range. Sparse data sampling strategies reduced registration times tominutes with only modest loss of accuracy. Conclusion: The registration algorithm described is a robust and flexible tool that can be used to address a variety of image registration problems. Registration strategies can be tailored to meet different needs by optimizing tradeoffsbetween speed and accuracy.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 30/03/20 alle ore 00:36:27