Detection of prostate cancer by integration of line-scan diffusion, T2-mapping and T2-weighted magnetic resonance imaging; a multichannel statistical classifier

Medical Physics

Volumn 30, Issue 9, 2003, Pages 2390-2398

  Chan, Ian ^b   Wells III, William ^b   Mulkern, Robert V ^a   Haker, Steven ^a   Zhang, Jianqing ^a   Zou, Kelly H ^a   Maier, Stephan E ^a   Tempany, Clare M C ^a  

^a HARVARD MEDICAL SCHOOL   (United States)

^b NONE

Author keywords

Image guided diagnosis; Line scan diffusion imaging; Magnetic resonance imaging; Prostate cancer detection; T2 map

Indexed keywords

BIOPSY; DISCRETE COSINE TRANSFORMS; DISEASES; MAGNETIC RESONANCE IMAGING; MAGNETISM; MAPPING; MAPS; MAXIMUM LIKELIHOOD; RESONANCE; STATISTICS; SUPPORT VECTOR MACHINES; SURFACE DIFFUSION; TUMORS; UROLOGY;

APPARENT DIFFUSION COEFFICIENT; CYLINDRICAL COORDINATE SYSTEMS; DIFFUSION IMAGING; DISCRETE COSINE TRANSFORM(DCT); IMAGE-GUIDED DIAGNOSIS; MAXIMUM LIKELIHOOD CLASSIFIERS; PROSTATE CANCER DETECTION; RECEIVER OPERATOR CHARACTERISTIC CURVES;

CLASSIFICATION (OF INFORMATION);

ACCURACY; ARTICLE; CANCER DIAGNOSIS; CLINICAL ARTICLE; HUMAN; IMAGING SYSTEM; MALE; MAXIMUM LIKELIHOOD METHOD; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; PROSTATE BIOPSY; PROSTATE CANCER; STATISTICS; VALIDATION PROCESS;

MARTES PENNANTI;

EID: 0141631865     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.1593633     Document Type: Article

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