A locally adaptive regularization based on anisotropic diffusion for deformable image registration of sliding organs

IEEE Transactions on Medical Imaging

Volumn 32, Issue 11, 2013, Pages 2114-2126

  Pace, Danielle F ^a   Aylward, Stephen R ^a   Niethammer, Marc ^b  

^a KITWARE INC   (United States)

^b University of North Carolina   (United States)

Author keywords

Abdominal computed tomography (CT); deformable image registration; locally adaptive regularization; respiratory motion; sliding motion; thoracic CT

Indexed keywords

ADAPTIVE REGULARIZATION; DEFORMABLE IMAGE REGISTRATION; RESPIRATORY MOTIONS; SLIDING MOTIONS; THORACIC CT;

ALGORITHMS; BIOLOGICAL ORGANS; DEFORMATION; IMAGE REGISTRATION; MOTION ESTIMATION; RESPIRATORY MECHANICS;

COMPUTERIZED TOMOGRAPHY;

CONTRAST MEDIUM;

ACCURACY; ADAPTIVE DIFFUSION TENSOR; ALGORITHM; ANISOTROPY; ARTICLE; BREATHING; COMPUTER ASSISTED TOMOGRAPHY; CONTROLLED STUDY; DIFFUSION; DIFFUSION TENSOR IMAGING; ERROR; GEOMETRY; IMAGE ANALYSIS; IMAGE RECONSTRUCTION; IMAGE REGISTRATION; NEEDLE; PHANTOM; VALIDATION STUDY;

DATABASES, FACTUAL; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; PHANTOMS, IMAGING; RADIOGRAPHY, ABDOMINAL; RADIOGRAPHY, THORACIC; REPRODUCIBILITY OF RESULTS; RESPIRATORY MECHANICS; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84887832145     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2013.2274777     Document Type: Article

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