Automated anatomical description of pleural thickening towards improvement of its computer-assisted diagnosis

Kraisorn Chaisaowong; Mingze Jiang; Peter Faltin; Dorit Merhof; Christian Eisenhawer; Monika Gube; Thomas Kraus

doi:10.1117/12.2216939

24 March 2016 Automated anatomical description of pleural thickening towards improvement of its computer-assisted diagnosis

Kraisorn Chaisaowong, Mingze Jiang, Peter Faltin, Dorit Merhof, Christian Eisenhawer, Monika Gube, Thomas Kraus

Author Affiliations +

Proceedings Volume 9785, Medical Imaging 2016: Computer-Aided Diagnosis; 978530 (2016) https://doi.org/10.1117/12.2216939
Event: SPIE Medical Imaging, 2016, San Diego, California, United States

Abstract

Pleural thickenings are caused by asbestos exposure and may evolve into malignant pleural mesothelioma. An early diagnosis plays a key role towards an early treatment and an increased survival rate. Today, pleural thickenings are detected by visual inspection of CT data, which is time-consuming and underlies the physician's subjective judgment. A computer-assisted diagnosis system to automatically assess pleural thickenings has been developed, which includes not only a quantitative assessment with respect to size and location, but also enhances this information with an anatomical description, i.e. lung side (left, right), part of pleura (pars costalis, mediastinalis, diaphragmatica, spinalis), as well as vertical (upper, middle, lower) and horizontal (ventral, dorsal) position. For this purpose, a 3D anatomical model of the lung surface has been manually constructed as a 3D atlas. Three registration sub-steps including rigid, affine, and nonrigid registration align the input patient lung to the 3D anatomical atlas model of the lung surface. Finally, each detected pleural thickening is assigned a set of labels describing its anatomical properties. Through this added information, an enhancement to the existing computer-assisted diagnosis system is presented in order to assure a higher precision and reproducible assessment of pleural thickenings, aiming at the diagnosis of the pleural mesothelioma in its early stage.

Citation Download Citation

Kraisorn Chaisaowong, Mingze Jiang, Peter Faltin, Dorit Merhof, Christian Eisenhawer, Monika Gube, and Thomas Kraus "Automated anatomical description of pleural thickening towards improvement of its computer-assisted diagnosis", Proc. SPIE 9785, Medical Imaging 2016: Computer-Aided Diagnosis, 978530 (24 March 2016); https://doi.org/10.1117/12.2216939

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
8 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

3D modeling

Lung

Computing systems

Data modeling

Mesothelioma

Tissues

Computer aided diagnosis and therapy

Show All Keywords

Keywords/Phrases

Search In:

Publication Years