Location registration and recognition (LRR) for serial analysis of nodules in lung CT scans

Medical Image Analysis

Volumn 14, Issue 3, 2010, Pages 407-428

  Sofka, Michal ^a   Stewart, Charles V ^a  

^a Rensselaer Polytechnic Institute   (United States)

Author keywords

Alignment verification; Keypoint matching; Location recognition; Location registration; Pulmonary nodule

Indexed keywords

ACCURATE MAPPING; AFFINE REGISTRATION; AFFINE TRANSFORMATIONS; ALIGNMENT ERROR; BREATHING STATE; CANCER PROGRESSION; CLINICAL WORKFLOW; CT SCAN; DECISION PROCESS; DEFORMABLE REGISTRATION; GENERIC DESIGN; LOCAL REFINEMENT; LOCATION REGISTRATIONS; LUNG CANCER; LUNG CT; MATCHING LOCATION; NODULE GROWTH; OTHER APPLICATIONS; PATIENT POSITIONING; PULMONARY NODULE; PULMONARY NODULES; TREATMENT MONITORING;

ALGORITHMS; ALIGNMENT; BIOLOGICAL ORGANS; FEATURE EXTRACTION; LOCATION; POSITRON EMISSION TOMOGRAPHY;

COMPUTERIZED TOMOGRAPHY;

ACCURACY; ALGORITHM; ANALYTICAL ERROR; ARTICLE; BREATHING PATTERN; CANCER GROWTH; COMPUTER ASSISTED TOMOGRAPHY; CONTROLLED STUDY; LUNG CANCER; LUNG NODULE; PATIENT POSITIONING; PRIORITY JOURNAL; TUMOR LOCALIZATION;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; HUMANS; LUNG NEOPLASMS; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SOLITARY PULMONARY NODULE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 77951644289     PISSN: 13618415     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.media.2010.02.006     Document Type: Article

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