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Supervised segmentation of polycystic kidneys: A new application for stereology data
Published in Springer New York LLC
2014
PMID: 24639063
Volume: 27
   
Issue: 4
Pages: 514 - 519
Abstract
Stereology is a volume estimation method, typically applied to diagnostic imaging examinations in population studies where planimetry is too time-consuming (Chapman et al. Kidney Int 64:1035-1045, 2003), to obtain quantitative measurements (Nyengaard J Am Soc Nephrol 10:1100-1123, 1999, Michel and Cruz-Orive J Microsc 150:117-136, 1988) of certain structures or organs. However, true segmentation is required in order to perform advanced analysis of the tissues. This paper describes a novel method for segmentation of region(s) of interest using stereology data as prior information. The result is an efficient segmentation method for structures that cannot be easily segmented using other methods. © 2014 Society for Imaging Informatics in Medicine.
About the journal
JournalData powered by TypesetJournal of Digital Imaging
PublisherData powered by TypesetSpringer New York LLC
ISSN08971889
Open AccessYes
Concepts (32)
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    Biological organs
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    Diagnosis
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    Fuzzy logic
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    Image analysis
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    Image processing
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    Image segmentation
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    Imaging systems
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    Magnetic resonance imaging
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    3D SEGMENTATION
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    BIOMEDICAL IMAGE ANALYSIS
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    BOUNDARY EXTRACTION
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    Data extraction
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    Mr imaging
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    PLANIMETRY
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    POLYCYSTIC KIDNEY DISEASE
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    Python
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    Three dimensional imaging
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    Microstructure
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    Algorithm
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    Human
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    Kidney
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    KIDNEY POLYCYSTIC DISEASE
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    Nuclear magnetic resonance imaging
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    ORGAN SIZE
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    Pathology
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    Procedures
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    Algorithms
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    Humans
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    Image processing, computer-assisted
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    Imaging, three-dimensional
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    ORGAN SIZE
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    POLYCYSTIC KIDNEY DISEASES