Segmentation of liver and spleen based on computational anatomy models

Abstract Accurate segmentation of abdominal organs is a key step in developing a computer-aided diagnosis (CAD) system. Probabilistic atlas based on human anatomical structure, used as a priori information in a Bayes framework, has been widely used for organ segmentation. How to register the probabi...

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Veröffentlicht in:	Computers in biology and medicine 2015-12, Vol.67, p.146-160
Hauptverfasser:	Dong, Chunhua, Chen, Yen-wei, Foruzan, Amir Hossein, Lin, Lanfen, Han, Xian-hua, Tateyama, Tomoko, Wu, Xing, Xu, Gang, Jiang, Huiyan
Format:	Artikel
Sprache:	eng
Schlagworte:	Abdomen Adult Aged Algorithms Automation Computational anatomy model Computer Simulation Construction Female Humans Imaging, Three-Dimensional - methods Internal Medicine Iterative probabilistic atlas Liver Liver - diagnostic imaging Male Methods Middle Aged Models, Anatomic Models, Biological Models, Statistical Multiple organs segmentation Organ bounding box Other Pattern Recognition, Automated - methods Radiographic Image Enhancement - methods Radiographic Image Interpretation, Computer-Assisted - methods Radiography, Abdominal - methods Registration Reproducibility of Results Sensitivity and Specificity Spleen Spleen - diagnostic imaging Subtraction Technique Template matching Tomography, X-Ray Computed - methods
Online-Zugang:	Volltext
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