Segmenting lung fields in serial chest radiographs using both population-based and patient-specific shape statistics

IEEE Transactions on Medical Imaging

Volumn 27, Issue 4, 2008, Pages 481-494

  Shi, Yonghong ^a,b   Qi, Feihu ^a   Xue, Zhong ^c   Chen, Liya ^a   Ito, Kyoko ^d   Matsuo, Hidenori ^d   Shen, Dinggang ^c  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b FUDAN UNIVERSITY   (China)

^c UNIVERSITY OF PENNSYLVANIA   (United States)

^d Hidaka Hospital   (Japan)

Author keywords

Deformable model; Scale invariant feature transform (SIFT) local descriptor; Segmentation; Serial chest radiographs; Shape statistics

Indexed keywords

MEDICAL IMAGING; PIXELS; POPULATION STATISTICS; RADIOGRAPHY; RESPIRATORY MECHANICS;

DEFORMABLE MODEL; SCALE INVARIANT FEATURE TRANSFORM (SIFT) LOCAL DESCRIPTOR; SERIAL CHEST RADIOGRAPHS; SHAPE STATISTICS;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; HUMAN; IMAGE QUALITY; IMAGE SUBTRACTION; LUNG; METHODOLOGY; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; STATISTICAL MODEL; THORAX RADIOGRAPHY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; HUMANS; LUNG; MODELS, BIOLOGICAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RADIOGRAPHY, THORACIC; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 41649087417     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2007.908130     Document Type: Article

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