Detection of Lung Boundary in Chest X-rays using Adaptive Lung Atlas and Graph Cuts

Authors(2) :-Jeevitha Sivasamy, Dr. T. S. Subashini

In contrast to film X-rays the advent of digital X-rays has led to the use of computer assisted systems to automatically detect and diagnose diseases. Though CT and MRI are known for its diagnostic superiority Chest X-rays still remains the mainstay of chest imaging and is widely used by doctors to access various chest related ailments which includes pathologies related to lungs, esophagus, blood vessel, diaphragm, trachea, bronchia etc. The applicability of any computer aided diagnosis system (CAD) mainly depends on the accurate segmentation of the region of interest (ROI). In this work we have attempted to accurately segment the lung boundary using atlas based methods and non-rigid registration of atlases to patient specific adaptive lung models. The proposed work first applies a content based retrieval approach to select similar X-rays (lung masks) to that of the test X-ray using similarity measures and then an atlas of the test lung is obtained by SIFT-flow registration of the test X-ray with that of the retrieved masks. Finally graph-cut optimization is applied to extract the exact lung boundary.

Authors and Affiliations

Jeevitha Sivasamy
Ph.D., Scholar, Dept.of Computer and Information Science, Annamalai University, Annamalai Nagar,Tamilnadu, India.
Dr. T. S. Subashini
Associate Professor, Department of Computer Science & Engg., Annamalai University, Annamalai Nagar, Tamilnadu, India

CAD, Content Based Image Retrieval, Image Registration, Radon Transform, SIFT-Flow, Graph cut segmentation.

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Publication Details

Published in : Volume 3 | Issue 5 | May-June 2018
Date of Publication : 2018-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 179-185
Manuscript Number : CSEIT183551
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Jeevitha Sivasamy, Dr. T. S. Subashini , "Detection of Lung Boundary in Chest X-rays using Adaptive Lung Atlas and Graph Cuts", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 5, pp.179-185, May-June-2018.
Journal URL : http://ijsrcseit.com/CSEIT183551

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