A geometric flow for segmenting vasculature in proton-density weighted MRI

Medical Image Analysis

Volumn 12, Issue 4, 2008, Pages 497-513

  Descoteaux, Maxime ^a   Collins, D Louis ^b   Siddiqi, Kaleem ^c  

^a INRIA   (France)

^b MCGILL UNIVERSITY   (Canada)

^c MCGILL UNIVERSITY   (Canada)

Author keywords

Geometric flows; Proton density MRI; Validation; Vessel segmentation

Indexed keywords

ANGIOGRAPHY; CHARGED PARTICLES; COMPUTATIONAL GEOMETRY; COMPUTER AIDED ANALYSIS; COMPUTER NETWORKS; COMPUTER SCIENCE; COMPUTERS; DATA ACQUISITION; ELECTRIC MACHINE INSULATION; FILTRATION; GADOLINIUM; GEOMETRY; IMAGE ENHANCEMENT; IMAGING TECHNIQUES; MAGNETIC FIELDS; MAGNETIC RESONANCE IMAGING; MAGNETISM; MERGERS AND ACQUISITIONS; NEUROSURGERY; PALLADIUM; PROTONS; RECOVERY; RESONANCE; SCANNING; SET THEORY; SOIL STRUCTURE INTERACTIONS; SURGERY; TECHNOLOGY; TUBULAR STEEL STRUCTURES;

APPLIED (CO); AUTOMATIC SEGMENTATIONS; CENTERLINES; COMPUTER ASSISTED; DATA SETS; DENSITY WEIGHTED; DIGITAL BRAIN; FLOW ALGORITHM; FLUX MAXIMIZING; GEOMETRIC FLOWS; GROUND TRUTH; INTERNATIONAL CONFERENCES; LECTURE NOTES; MACHINE INTELLIGENCE; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGES; MULTI SCALING; MULTI SUBJECT STUDIES; NON INVASIVE; PATTERN ANALYSIS; PHASE CONTRAST (PHC); SCANNING PROCESS; TIME-OF-FLIGHT (TOF); TUBULAR STRUCTURES; VASCULATURE; VECTOR FIELDS; VESSEL BOUNDARIES; VESSEL ENHANCEMENT; VESSEL SEGMENTATION;

IMAGE SEGMENTATION;

GADOLINIUM;

ALGORITHM; ARTICLE; BRAIN BLOOD VESSEL; BRAIN SIZE; BRAIN TUMOR; CONTRAST ENHANCEMENT; CONTROLLED STUDY; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; MAGNETIC RESONANCE ANGIOGRAPHY; NEUROANATOMY; NEUROSURGERY; NUCLEAR MAGNETIC RESONANCE IMAGING; PHANTOM; PREOPERATIVE EVALUATION; PRIORITY JOURNAL; PROTON DENSITY WEIGHTED IMAGING; TREATMENT PLANNING; VALIDATION PROCESS;

ALGORITHMS; BRAIN; BRAIN NEOPLASMS; CEREBROVASCULAR CIRCULATION; HUMANS; MAGNETIC RESONANCE ANGIOGRAPHY; MAGNETIC RESONANCE IMAGING; PHANTOMS, IMAGING; PROTONS;

EID: 46749137235     PISSN: 13618415     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.media.2008.02.003     Document Type: Article

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