Segmentation of pulmonary nodules of various densities with morphological approaches and convexity models

Medical Image Analysis

Volumn 15, Issue 1, 2011, Pages 133-154

  Kubota, Toshiro ^a   Jerebko, Anna K ^b   Dewan, Maneesh ^c   Salganicoff, Marcos ^c   Krishnan, Arun ^c  

^a SUSQUEHANNA UNIVERSITY   (United States)

^b SIEMENS AG   (Germany)

^c SIEMENS CORPORATE RESEARCH   (United States)

Author keywords

Diffusion; Distance transform; Medial axis transform; Region growing

Indexed keywords

ACTIVE AREA; ADAPTIVE THRESHOLDING; ANATOMICAL STRUCTURES; COMPUTATIONALLY EFFICIENT; CONVEX HULL; DATA SETS; DIAMETER MEASUREMENT; DIFFUSION PROCESS; DISTANCE MAP; DISTANCE TRANSFORMS; EUCLIDEAN DISTANCE; EUCLIDEAN DISTANCE TRANSFORMS; LUNG IMAGING; MEDIAL AXIS TRANSFORMS; MEDICAL IMAGE PROCESSING; MORPHOLOGICAL APPROACH; PULMONARY NODULES; REGION GROWING; VARIOUS DENSITIES;

ALGORITHMS; BIOLOGICAL ORGANS; DIFFUSION; INDUSTRIAL RESEARCH; MEDICAL IMAGING; POSITRON EMISSION TOMOGRAPHY;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; COMPUTER ASSISTED TOMOGRAPHY; DATA BASE; HUMAN; IMAGING SYSTEM; LUNG CANCER; LUNG DISEASE; LUNG NODULE; LUNG PARENCHYMA; MEASUREMENT; PRIORITY JOURNAL; TUMOR VOLUME;

ALGORITHMS; HUMANS; IMAGING, THREE-DIMENSIONAL; LUNG NEOPLASMS; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; SOLITARY PULMONARY NODULE;

EID: 78449233034     PISSN: 13618415     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.media.2010.08.005     Document Type: Article

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