A unified EM approach to bladder wall segmentation with coupled level-set constraints

Medical Image Analysis

Volumn 17, Issue 8, 2013, Pages 1192-1205

  Han, Hao ^a   Li, Lihong ^b   Duan, Chaijie ^c   Zhang, Hao ^a   Zhao, Yang ^a   Liang, Zhengrong ^a  

^a STONY BROOK UNIVERSITY   (United States)

^b CITY UNIVERSITY OF NEW YORK   (United States)

^c TSINGHUA UNIVERSITY   (China)

Author keywords

Bladder wall segmentation; Coupled level set; EM algorithm; MAP solution; Virtual cystoscopy

Indexed keywords

BLADDER WALL; COMPUTER-AIDED DETECTION; EM ALGORITHMS; EXPECTATION-MAXIMIZATION APPROACHES; GEOMETRICAL CONSTRAINTS; LEVEL SETS; MARKOV RANDOM FIELDS; VIRTUAL CYSTOSCOPIES;

ALGORITHMS; ENDOSCOPY; MAGNETIC RESONANCE IMAGING; MARKOV PROCESSES; THREE DIMENSIONAL COMPUTER GRAPHICS;

MAGNETIC RESONANCE;

ADULT; AGED; ARTICLE; ARTIFACT; BLADDER INJURY; BLADDER WALL; CASE REPORT; CONTROLLED STUDY; CYSTOSCOPY; FEMALE; HIDDEN MARKOV MODEL; HUMAN; IMAGE PROCESSING; IMAGE QUALITY; IMAGING PHANTOM; INFORMATION SYSTEM; INTERMETHOD COMPARISON; MALE; MAXIMUM LIKELIHOOD METHOD; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; PRIORITY JOURNAL; RADIOLOGICAL PARAMETERS; SIGNAL NOISE RATIO; SOFT TISSUE; STATISTICAL ANALYSIS; STATISTICAL MODEL; THICKNESS; URINE;

BLADDER WALL SEGMENTATION; COUPLED LEVEL-SET; EM ALGORITHM; MAP SOLUTION; VIRTUAL CYSTOSCOPY;

ADULT; ALGORITHMS; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; URINARY BLADDER; URINARY BLADDER DISEASES;

EID: 84883284975     PISSN: 13618415     EISSN: 13618423     Source Type: Journal    
DOI: 10.1016/j.media.2013.08.002     Document Type: Article

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