Improving quantitative CT perfusion parameter measurements using principal component analysis

Academic Radiology

Volumn 21, Issue 5, 2014, Pages 624-632

  Yeung, Timothy Pok Chi ^a,b,c,d   Dekaban, Mark ^b,c,d   De Haan, Nathan ^a   Morrison, Laura ^b   Hoffman, Lisa ^b,d   Bureau, Yves ^b,d   Chen, Xiaogang ^c   Yartsev, Slav ^a,d   Bauman, Glenn ^a,d   Lee, Ting Yim ^b,c,d  

^a LONDON HEALTH SCIENCES CENTRE   (Canada)

^b LAWSON HEALTH RESEARCH INSTITUTE   (Canada)

^c ROBARTS RESEARCH INSTITUTE   (Canada)

^d UNIVERSITY OF WESTERN ONTARIO   (Canada)

Author keywords

Blood flow; Brain tumor; CT perfusion; Image noise; Principal component analysis

Indexed keywords

ANIMAL EXPERIMENT; ANIMAL MODEL; ANIMAL TISSUE; ARTICLE; BRAIN BLOOD FLOW; BRAIN BLOOD VOLUME; BRAIN PERFUSION; BRAIN TISSUE; COMPUTED TOMOGRAPHY PERFUSION; COMPUTED TOMOGRAPHY SCANNER; COMPUTER ASSISTED TOMOGRAPHY; CONTRAST ENHANCEMENT; CONTRAST TO NOISE RATIO; CONTROLLED STUDY; CORRELATION COEFFICIENT; DIGITAL FILTERING; GLIOMA; IMAGE ENHANCEMENT; IMAGE QUALITY; IMAGING PHANTOM; IN VIVO STUDY; MEASUREMENT ERROR; NONHUMAN; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; RAT; SCINTIGRAPHY; ALGORITHM; ANIMAL; BRAIN ANGIOGRAPHY; BRAIN TUMOR; COMPUTER ASSISTED DIAGNOSIS; NEOVASCULARIZATION (PATHOLOGY); PROCEDURES; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; TUMOR CELL LINE; VASCULARIZATION; WISTAR RAT;

ALGORITHMS; ANIMALS; BRAIN NEOPLASMS; CELL LINE, TUMOR; CEREBRAL ANGIOGRAPHY; DATA INTERPRETATION, STATISTICAL; GLIOMA; NEOVASCULARIZATION, PATHOLOGIC; PERFUSION IMAGING; PRINCIPAL COMPONENT ANALYSIS; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RATS; RATS, WISTAR; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84897554093     PISSN: 10766332     EISSN: 18784046     Source Type: Journal    
DOI: 10.1016/j.acra.2014.01.015     Document Type: Article

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