Improving parenchyma segmentation by simultaneous estimation of tissue property T 1 map and group-wise registration of inversion recovery MR breast images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5241 LNCS, Issue PART 1, 2008, Pages 342-350

  Xing, Ye ^a   Xue, Zhong ^b   Englander, Sarah ^b   Schnall, Mitchell ^b   Shen, Dinggang ^b,c  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

^c UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BREAST CANCER; BREAST IMAGES; EDGE-PRESERVING SMOOTHING; IMAGING PARAMETERS; INTEGRATED ALGORITHM; INVERSION RECOVERY; MAP ESTIMATION; MR IMAGES; PARENCHYMA TISSUES; PROBABILITY MAPS; ROBUST REGISTRATION; SIMULTANEOUS ESTIMATION; TISSUE PROPERTIES;

COMPUTER SCIENCE; ESTIMATION; MEDICAL COMPUTING; PROBABILITY; STEADY FLOW; TISSUE;

EDGE DETECTION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BREAST; BREAST TUMOR; COMPUTER ASSISTED DIAGNOSIS; FEMALE; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BREAST; BREAST NEOPLASMS; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 58849106825     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85988-8_41     Document Type: Conference Paper

References (7)

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