Performance Evaluation of Contrast Enhancement Techniques in Computed Tomography of Lung Images

S. Ziyad; V. Radha; V. Thavavel

doi:10.1109/I2CT45611.2019.9033602

Performance Evaluation of Contrast Enhancement Techniques in Computed Tomography of Lung Images

S. Ziyad
, V. Radha
, V. Thavavel

Computer Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Death rates due to cancer are elevating day by day. Millions of people across the world are affected due to this deadly disease. US population suffers from lung cancer at a higher rate in recent years. Computed tomography is a reliable diagnostic methods for lung cancer. In this method the radiologist face challenges to accurately identify the malignant lung nodules. Due to a large number of cases often radiologists missed the malignant nodules in images. Recently, many research works carried out in the areas of automated lung nodule detection have shown remarkable improvement in the radiologist performance. It is necessary to take into consideration the quality of images in the detection of pulmonary nodules. This has inspired us to analyze the preprocessing stage that comprises of a contrast enhancement stage of lung images. In this regard, the performance of different contrast enhancement methods is compared for lung image available in the public LIDC database using standard contrast evaluation metrics.

Original language	English
Title of host publication	2019 IEEE 5th International Conference for Convergence in Technology, I2CT 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538680759
DOIs	https://doi.org/10.1109/I2CT45611.2019.9033602
State	Published - Mar 2019
Event	5th IEEE International Conference for Convergence in Technolog, I2CT 2019 - Bombay, India Duration: 29 Mar 2019 → 31 Mar 2019

Publication series

Name	2019 IEEE 5th International Conference for Convergence in Technology, I2CT 2019

Conference

Conference	5th IEEE International Conference for Convergence in Technolog, I2CT 2019
Country/Territory	India
City	Bombay
Period	29/03/19 → 31/03/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Computer aided detection
Computer aided diagnosis
Early detection
LDCT images
Lung Cancer
Nodule detection
PSNR
SSIM
UIQI

Access to Document

10.1109/I2CT45611.2019.9033602

Cite this

Ziyad, S., Radha, V., & Thavavel, V. (2019). Performance Evaluation of Contrast Enhancement Techniques in Computed Tomography of Lung Images. In 2019 IEEE 5th International Conference for Convergence in Technology, I2CT 2019 Article 9033602 (2019 IEEE 5th International Conference for Convergence in Technology, I2CT 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/I2CT45611.2019.9033602

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title = "Performance Evaluation of Contrast Enhancement Techniques in Computed Tomography of Lung Images",

abstract = "Death rates due to cancer are elevating day by day. Millions of people across the world are affected due to this deadly disease. US population suffers from lung cancer at a higher rate in recent years. Computed tomography is a reliable diagnostic methods for lung cancer. In this method the radiologist face challenges to accurately identify the malignant lung nodules. Due to a large number of cases often radiologists missed the malignant nodules in images. Recently, many research works carried out in the areas of automated lung nodule detection have shown remarkable improvement in the radiologist performance. It is necessary to take into consideration the quality of images in the detection of pulmonary nodules. This has inspired us to analyze the preprocessing stage that comprises of a contrast enhancement stage of lung images. In this regard, the performance of different contrast enhancement methods is compared for lung image available in the public LIDC database using standard contrast evaluation metrics.",

keywords = "Computer aided detection, Computer aided diagnosis, Early detection, LDCT images, Lung Cancer, Nodule detection, PSNR, SSIM, UIQI",

author = "S. Ziyad and V. Radha and V. Thavavel",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 5th IEEE International Conference for Convergence in Technolog, I2CT 2019 ; Conference date: 29-03-2019 Through 31-03-2019",

year = "2019",

month = mar,

doi = "10.1109/I2CT45611.2019.9033602",

language = "English",

series = "2019 IEEE 5th International Conference for Convergence in Technology, I2CT 2019",

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Ziyad, S, Radha, V & Thavavel, V 2019, Performance Evaluation of Contrast Enhancement Techniques in Computed Tomography of Lung Images. in 2019 IEEE 5th International Conference for Convergence in Technology, I2CT 2019., 9033602, 2019 IEEE 5th International Conference for Convergence in Technology, I2CT 2019, Institute of Electrical and Electronics Engineers Inc., 5th IEEE International Conference for Convergence in Technolog, I2CT 2019, Bombay, India, 29/03/19. https://doi.org/10.1109/I2CT45611.2019.9033602

Performance Evaluation of Contrast Enhancement Techniques in Computed Tomography of Lung Images. / Ziyad, S.; Radha, V.; Thavavel, V.
2019 IEEE 5th International Conference for Convergence in Technology, I2CT 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 9033602 (2019 IEEE 5th International Conference for Convergence in Technology, I2CT 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Radha, V.

AU - Thavavel, V.

PY - 2019/3

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N2 - Death rates due to cancer are elevating day by day. Millions of people across the world are affected due to this deadly disease. US population suffers from lung cancer at a higher rate in recent years. Computed tomography is a reliable diagnostic methods for lung cancer. In this method the radiologist face challenges to accurately identify the malignant lung nodules. Due to a large number of cases often radiologists missed the malignant nodules in images. Recently, many research works carried out in the areas of automated lung nodule detection have shown remarkable improvement in the radiologist performance. It is necessary to take into consideration the quality of images in the detection of pulmonary nodules. This has inspired us to analyze the preprocessing stage that comprises of a contrast enhancement stage of lung images. In this regard, the performance of different contrast enhancement methods is compared for lung image available in the public LIDC database using standard contrast evaluation metrics.

AB - Death rates due to cancer are elevating day by day. Millions of people across the world are affected due to this deadly disease. US population suffers from lung cancer at a higher rate in recent years. Computed tomography is a reliable diagnostic methods for lung cancer. In this method the radiologist face challenges to accurately identify the malignant lung nodules. Due to a large number of cases often radiologists missed the malignant nodules in images. Recently, many research works carried out in the areas of automated lung nodule detection have shown remarkable improvement in the radiologist performance. It is necessary to take into consideration the quality of images in the detection of pulmonary nodules. This has inspired us to analyze the preprocessing stage that comprises of a contrast enhancement stage of lung images. In this regard, the performance of different contrast enhancement methods is compared for lung image available in the public LIDC database using standard contrast evaluation metrics.

KW - Computer aided detection

KW - Computer aided diagnosis

KW - Early detection

KW - LDCT images

KW - Lung Cancer

KW - Nodule detection

KW - PSNR

KW - SSIM

KW - UIQI

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T3 - 2019 IEEE 5th International Conference for Convergence in Technology, I2CT 2019

BT - 2019 IEEE 5th International Conference for Convergence in Technology, I2CT 2019

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Ziyad S, Radha V, Thavavel V. Performance Evaluation of Contrast Enhancement Techniques in Computed Tomography of Lung Images. In 2019 IEEE 5th International Conference for Convergence in Technology, I2CT 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 9033602. (2019 IEEE 5th International Conference for Convergence in Technology, I2CT 2019). doi: 10.1109/I2CT45611.2019.9033602

Performance Evaluation of Contrast Enhancement Techniques in Computed Tomography of Lung Images

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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