A pseudo wavelet-based method for accurate tagline tracing on tagged MR images of the tongue

Xiaohui Yuan; Cengizhan Ozturk; Gloria Chi-Fishman

doi:10.1117/12.653339

10 March 2006 A pseudo wavelet-based method for accurate tagline tracing on tagged MR images of the tongue

Xiaohui Yuan, Cengizhan Ozturk, Gloria Chi-Fishman

Proceedings Volume 6144, Medical Imaging 2006: Image Processing; 61440P (2006) https://doi.org/10.1117/12.653339
Event: Medical Imaging, 2006, San Diego, California, United States

Abstract

In this paper, we present a pseudo wavelet-based tagline detection method. The tagged MR image is transformed to the wavelet domain, and the prominent tagline coefficients are retained while others are eliminated. Significant stripes are extracted via segmentation, which are mixtures of tags and anatomical boundary that resembles line. A refinement step follows such that broken lines or isolated points are grouped or eliminated. Without assumption on tag models, our method extracts taglines automatically regardless their width and spacing. In addition, founded on the multi-resolution wavelet analysis, our method reconstructs taglines precisely and shows great robustness to various types of taglines.

Citation Download Citation

Xiaohui Yuan, Cengizhan Ozturk, and Gloria Chi-Fishman "A pseudo wavelet-based method for accurate tagline tracing on tagged MR images of the tongue", Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 61440P (10 March 2006); https://doi.org/10.1117/12.653339

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