Adaptive thresholding of digital subtraction angiography images

Nong Sang; Heng Li; Weixue Peng; Tianxu Zhang

doi:10.1117/12.655228

3 November 2005 Adaptive thresholding of digital subtraction angiography images

Nong Sang, Heng Li, Weixue Peng, Tianxu Zhang

Proceedings Volume 6044, MIPPR 2005: Image Analysis Techniques; 60441L (2005) https://doi.org/10.1117/12.655228
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China

Abstract

In clinical practice, digital subtraction angiography (DSA) is a powerful technique for the visualization of blood vessels in the human body. Blood vessel segmentation is a main problem for 3D vascular reconstruction. In this paper, we propose a new adaptive thresholding method for the segmentation of DSA images. Each pixel of the DSA images is declared to be a vessel/background point with regard to a threshold and a few local characteristic limits depending on some information contained in the pixel neighborhood window. The size of the neighborhood window is set according to a priori knowledge of the diameter of vessels to make sure that each window contains the background definitely. Some experiments on cerebral DSA images are given, which show that our proposed method yields better results than global thresholding methods and some other local thresholding methods do.

Citation Download Citation

Nong Sang, Heng Li, Weixue Peng, and Tianxu Zhang "Adaptive thresholding of digital subtraction angiography images", Proc. SPIE 6044, MIPPR 2005: Image Analysis Techniques, 60441L (3 November 2005); https://doi.org/10.1117/12.655228

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