Automatic delineation of the diaphragm in computed tomographic images.

Journal of Digital Imaging
Rangaraj M RangayyanGraham S Boag

Abstract

Segmentation of the internal organs in medical images is a difficult task. By incorporating a priori information regarding specific organs of interest, results of segmentation may be improved. Landmarking (i.e., identifying stable structures to aid in gaining more knowledge concerning contiguous structures) is a promising segmentation method. Specifically, segmentation of the diaphragm may help in limiting the scope of segmentation methods to the abdominal cavity; the diaphragm may also serve as a stable landmark for identifying internal organs, such as the liver, the spleen, and the heart. A method to delineate the diaphragm is proposed in the present work. The method is based upon segmentation of the lungs, identification of the lower surface of the lungs as an initial representation of the diaphragm, and the application of least-squares modeling and deformable contour models to obtain the final segmentation of the diaphragm. The proposed procedure was applied to nine X-ray computed tomographic (CT) exams of four pediatric patients with neuroblastoma. The results were evaluated against the boundaries of the diaphragm as identified independently by a radiologist. Good agreement was observed between the results of segmentation ...Continue Reading

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Citations

Dec 25, 2009·International Journal of Computer Assisted Radiology and Surgery·Rangaraj M RangayyanGraham S Boag
Oct 9, 2008·Nihon Hoshasen Gijutsu Gakkai zasshi·Shunsuke OhshimaNoriyuki Moriyama
Apr 20, 2010·Academic Radiology·Christian von FalckHoen-oh Shin
May 11, 2015·Computers in Biology and Medicine·Ronnarit CheirsilpWilliam E Higgins
Jul 9, 2016·PloS One·Katja MogalleMarleen de Bruijne
Oct 3, 2015·International Journal of Computer Assisted Radiology and Surgery·Banafsheh PazokifardDaniel Moses

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