Database guided detection of anatomical landmark points in 3D images of the heart

Thomas Karavides; K. Y. Esther Leung; Pavel Paclik; Emile A. Hendriks; Johan G. Bosch

doi:10.1117/12.843802

12 March 2010 Database guided detection of anatomical landmark points in 3D images of the heart

Thomas Karavides, K. Y. Esther Leung, Pavel Paclik, Emile A. Hendriks, Johan G. Bosch

Proceedings Volume 7623, Medical Imaging 2010: Image Processing; 76234Q (2010) https://doi.org/10.1117/12.843802
Event: SPIE Medical Imaging, 2010, San Diego, California, United States

Abstract

Automated landmark detection may prove invaluable in the analysis of real-time three-dimensional (3D) echocardiograms. By detecting 3D anatomical landmark points, the standard anatomical views can be extracted automatically in apically acquired 3D ultrasound images of the left ventricle, for better standardization of visualization and objective diagnosis. Furthermore, the landmarks can serve as an initialization for other analysis methods, such as segmentation. The described algorithm applies landmark detection in perpendicular planes of the 3D dataset. The landmark detection exploits a large database of expert annotated images, using an extensive set of Haar features for fast classification. The detection is performed using two cascades of Adaboost classifiers in a coarse to fine scheme. The method is evaluated by measuring the distance of detected and manually indicated landmark points in 25 patients. The method can detect landmarks accurately in the four-chamber (apex: 7.9±7.1mm, septal mitral valve point: 5.6±2.7mm; lateral mitral valve point: 4.0±2.6mm) and two-chamber view (apex: 7.1±6.7mm, anterior mitral valve point: 5.8±3.5mm, inferior mitral valve point: 4.5±3.1mm). The results compare well to those reported by others.

Citation Download Citation

Thomas Karavides, K. Y. Esther Leung, Pavel Paclik, Emile A. Hendriks, and Johan G. Bosch "Database guided detection of anatomical landmark points in 3D images of the heart", Proc. SPIE 7623, Medical Imaging 2010: Image Processing, 76234Q (12 March 2010); https://doi.org/10.1117/12.843802

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