Compressible image registration for thoracic computed tomography images

Journal of Medical and Biological Engineering

Volumn 29, Issue 5, 2009, Pages 222-233

  Castillo, Edward ^a   Castillo, Richard ^b,c   Zhang, Yin ^d   Guerrero, Thomas ^c  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF TEXAS   (United States)

^c UNIVERSITY OF TEXAS   (United States)

^d Rice University   (United States)

Author keywords

Compressible flow (COF); Computed tomography (CT); Deformable image registration (DIR); Optical flow (OF)

Indexed keywords

COMPUTATIONAL RESOURCES; COMPUTATIONAL WORKLOAD; COMPUTED TOMOGRAPHY; CONSERVATION OF MASS; CT IMAGE; DEFORMABLE IMAGE REGISTRATION; DEFORMABLE IMAGE REGISTRATION (DIR); FOUR-DIMENSIONAL COMPUTED TOMOGRAPHY (4D-CT); IMAGE SETS; LARGE-SCALE LINEAR SYSTEMS; LUNG TISSUE; PHASE IMAGE; POTENTIAL SOURCES; PRECONDITIONED CONJUGATE GRADIENT; SPATIAL ACCURACY; THORACIC CT; TISSUE MOTION; VOXEL INTENSITIES;

BIOLOGICAL ORGANS; COMPRESSIBLE FLOW; COMPUTERIZED TOMOGRAPHY; CONJUGATE GRADIENT METHOD; DEFORMATION; EQUATIONS OF MOTION; IMAGE REGISTRATION; LINEAR SYSTEMS; TOMOGRAPHY;

OPTICAL FLOWS;

ACCURACY; ALGORITHM; ARTICLE; CASE REPORT; COMPUTER ASSISTED TOMOGRAPHY; HUMAN; IMAGE ANALYSIS; LINEAR SYSTEM; LUNG; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; NOISE; THORAX RADIOGRAPHY;

EID: 72049106621     PISSN: 16090985     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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