A new approach of objective quality evaluation on JPEG2000 lossy-compressed lung cancer CT images

Weihua Cai; Yongqiang Tan; Jianguo Zhang

doi:10.1117/12.708902

21 March 2007 A new approach of objective quality evaluation on JPEG2000 lossy-compressed lung cancer CT images

Weihua Cai, Yongqiang Tan, Jianguo Zhang

Proceedings Volume 6516, Medical Imaging 2007: PACS and Imaging Informatics; 65161G (2007) https://doi.org/10.1117/12.708902
Event: Medical Imaging, 2007, San Diego, CA, United States

Abstract

Image compression has been used to increase the communication efficiency and storage capacity. JPEG 2000 compression, based on the wavelet transformation, has its advantages comparing to other compression methods, such as ROI coding, error resilience, adaptive binary arithmetic coding and embedded bit-stream. However it is still difficult to find an objective method to evaluate the image quality of lossy-compressed medical images so far. In this paper, we present an approach to evaluate the image quality by using a computer aided diagnosis (CAD) system. We selected 77 cases of CT images, bearing benign and malignant lung nodules with confirmed pathology, from our clinical Picture Archiving and Communication System (PACS). We have developed a prototype of CAD system to classify these images into benign ones and malignant ones, the performance of which was evaluated by the receiver operator characteristics (ROC) curves. We first used JPEG 2000 to compress these cases of images with different compression ratio from lossless to lossy, and used the CAD system to classify the cases with different compressed ratio, then compared the ROC curves from the CAD classification results. Support vector machine (SVM) and neural networks (NN) were used to classify the malignancy of input nodules. In each approach, we found that the area under ROC (AUC) decreases with the increment of compression ratio with small fluctuations.

Citation Download Citation

Weihua Cai, Yongqiang Tan, and Jianguo Zhang "A new approach of objective quality evaluation on JPEG2000 lossy-compressed lung cancer CT images", Proc. SPIE 6516, Medical Imaging 2007: PACS and Imaging Informatics, 65161G (21 March 2007); https://doi.org/10.1117/12.708902

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
9 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Image compression

Computed tomography

JPEG2000

Lung

Image quality

Computer aided diagnosis and therapy

Medical imaging

Show All Keywords

Keywords/Phrases

Search In:

Publication Years