Hybrid feature-based diffeomorphic registration for tumor tracking in 2-D liver ultrasound images

IEEE Transactions on Medical Imaging

Volumn 32, Issue 9, 2013, Pages 1647-1656

  Cifor, Amalia ^a   Risser, Laurent ^b   Chung, Daniel ^a,c   Anderson, Ewan M ^c   Schnabel, Julia A ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b INSTITUT DE MATHÉMATIQUES DE TOULOUSE   (France)

^c CHURCHILL HOSPITAL   (United Kingdom)

Author keywords

Block matching; diffeomorphic registration; tumor tracking; ultrasound

Indexed keywords

BLOCK MATCHING; DEFORMATION FIELD; DIFFEOMORPHIC REGISTRATIONS; LOCAL INFORMATION; MEDICAL COMMUNITY; QUANTITATIVE RESULT; REGISTRATION METHODS; TUMOR TRACKING;

DEFORMATION; ULTRASONICS;

ULTRASONIC APPLICATIONS;

ALGORITHM; ARTICLE; CONTROLLED STUDY; DIAGNOSTIC IMAGING; HUMAN; IMAGING; KERNEL METHOD; NOISE; REAL TIME ECHOGRAPHY; VELOCITY; VISUAL INFORMATION;

ALGORITHMS; DATABASES, FACTUAL; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LIVER; LIVER NEOPLASMS; MOVEMENT;

EID: 84883344996     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2013.2262055     Document Type: Article

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