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Published in:

Volume 5 Issue 12
December-2018
eISSN: 2349-5162

Unique Identifier

JETIR1812B26

Page Number

189-195

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Title

Lung segmentation from CT images: Impact of different window settings on the accuracy of segmentation

ISSN

2349-5162

Cite This Article

"Lung segmentation from CT images: Impact of different window settings on the accuracy of segmentation ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.189-195, December-2018, Available :http://www.jetir.org/papers/JETIR1812B26.pdf

Abstract

Proper segmentation of the lung region from a computed tomography (CT) image, which consists of other anatomical features, is an essential step in automated diagnosis of various lung diseases. The accuracy at which the segmentation needs to be done is vital, as a small under or over-segmentation can lead to an erroneous diagnosis. It has been shown here that CT image acquisition technique plays a vital role in segmenting the lung region. The segmentation for lung region from images acquired via a mediastinum window setting can produce lung region which are less erroneous than an image acquired via the lung window setting. Thresholding and fuzzy C-means are used for segmentation and comparison is done against a reference set of images. The study is done using internal dataset of CT images collected from NABL (National Accreditation Board for Testing and Calibration) radiological laboratory. It has been found that the F_1 score of mediastinum window images for lung region is found to be higher than the F_1 score of images acquired via lung window. This proves that segmentation accuracy obtained from mediastinum window images is higher than that of lung window.

Key Words

Lung CT; Segmentation; Lung window; Mediastinum window; software induced Mediastinum window; comparison.

Cite This Article

"Lung segmentation from CT images: Impact of different window settings on the accuracy of segmentation ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp189-195, December-2018, Available at : http://www.jetir.org/papers/JETIR1812B26.pdf

Publication Details

Published Paper ID: JETIR1812B26
Registration ID: 194259
Published In: Volume 5 | Issue 12 | Year December-2018
DOI (Digital Object Identifier):
Page No: 189-195
ISSN Number: 2349-5162

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Cite This Article

"Lung segmentation from CT images: Impact of different window settings on the accuracy of segmentation ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp189-195, December-2018, Available at : http://www.jetir.org/papers/JETIR1812B26.pdf




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