Document Detail


Non-parametric and integrated framework for segmenting and counting neuroblastic cells within neuroblastoma tumor images.
MedLine Citation:
PMID:  23359256     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Neuroblastoma is a malignant tumor and a cancer in childhood that derives from the neural crest. The number of neuroblastic cells within the tumor provides significant prognostic information for pathologists. An enormous number of neuroblastic cells makes the process of counting tedious and error-prone. We propose a user interaction-independent framework that segments cellular regions, splits the overlapping cells and counts the total number of single neuroblastic cells. Our novel segmentation algorithm regards an image as a feature space constructed by joint spatial-intensity features of color pixels. It clusters the pixels within the feature space using mean-shift and then partitions the image into multiple tiles. We propose a novel color analysis approach to select the tiles with similar intensity to the cellular regions. The selected tiles contain a mixture of single and overlapping cells. We therefore also propose a cell counting method to analyse morphology of the cells and discriminate between overlapping and single cells. Ultimately, we apply watershed to split overlapping cells. The results have been evaluated by a pathologist. Our segmentation algorithm was compared against adaptive thresholding. Our cell counting algorithm was compared with two state of the art algorithms. The overall cell counting accuracy of the system is 87.65 %.
Authors:
Siamak Tafavogh; Karla Felix Navarro; Daniel R Catchpoole; Paul J Kennedy
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2013-1-29
Journal Detail:
Title:  Medical & biological engineering & computing     Volume:  -     ISSN:  1741-0444     ISO Abbreviation:  Med Biol Eng Comput     Publication Date:  2013 Jan 
Date Detail:
Created Date:  2013-1-29     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7704869     Medline TA:  Med Biol Eng Comput     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Affiliation:
Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, PO Box 123, Broadway, Sydney, NSW, 2007, Australia, siamak.tafavogh@student.uts.edu.au.
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