Unsupervised deconvolution of dynamic imaging reveals intratumor vascular heterogeneity and repopulation dynamics

PLoS ONE

Volumn 9, Issue 11, 2014, Pages

  Chen, Li ^a,b   Choyke, Peter L ^a   Wang, Niya ^b   Clarke, Robert ^c   Bhujwalla, Zaver M ^d   Hillman, Elizabeth M C ^e   Wang, Ge ^f   Wang, Yue ^b  

^a NATIONAL CANCER INSTITUTE   (United States)

^b Virginia Polytechnic Institute and State University   (United States)

^c GEORGETOWN UNIVERSITY   (United States)

^d JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^e Department of Earth and Environmental Sciences   (United States)

^f RENSSELAER POLYTECHNIC INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADVANCED CANCER; ALGORITHM; ARTICLE; BREAST CANCER; CONTRAST ENHANCEMENT; IMAGE ANALYSIS; IMAGE QUALITY; INTRATUMOR VASCULAR HETEROGENEITY; LONGITUDINAL STUDY; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; MULTI TISSUE COMPARTMENT MODELING; NUCLEAR MAGNETIC RESONANCE IMAGING; ONCOLOGICAL PARAMETERS; PHENOTYPE; POPULATION DYNAMICS; TUMOR VASCULARIZATION; BREAST; BREAST TUMOR; FEMALE; HUMAN; IMAGE PROCESSING; PROCEDURES; VASCULARIZATION;

CONTRAST MEDIUM;

ALGORITHMS; BREAST; BREAST NEOPLASMS; CONTRAST MEDIA; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING;

EID: 84915749669     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0112143     Document Type: Article

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