Learning distance function for regression-based 4D pulmonary trunk model reconstruction estimated from sparse MRI data

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 7964, Issue , 2011, Pages

  Vitanovski, Dime ^a,c   Tsymbal, Alexey ^c   Ionasec, Razvan ^a   Georgescu, Bogdan ^a   Zhou, Shaohua K ^a   Hornegger, Joachim ^b   Comaniciu, Dorin ^a  

^a SIEMENS CORPORATE RESEARCH   (United States)

^b UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

^c SIEMENS AG   (Germany)

Author keywords

Case retrieval; Discriminative distance function; Intrinsic random forest similarity; Pulmonary trunk; Random forest; Regression; Sparse MRI reconstruction

Indexed keywords

CASE RETRIEVAL; DISTANCE FUNCTIONS; MRI RECONSTRUCTION; PULMONARY TRUNK; RANDOM FORESTS; REGRESSION;

DATA VISUALIZATION; DECISION TREES; HEART; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; REGRESSION ANALYSIS; RESONANCE; THREE DIMENSIONAL; TOMOGRAPHY; TOOLS; VISUALIZATION;

COMPUTERIZED TOMOGRAPHY;

EID: 79955860821     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.878195     Document Type: Conference Paper

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