Unified dual-modality image reconstruction with dual dictionaries

Yang Lu; Jun Zhao; Tiange Zhuang; Ge Wang

doi:10.1117/12.932246

17 October 2012 Unified dual-modality image reconstruction with dual dictionaries

Yang Lu, Jun Zhao, Tiange Zhuang, Ge Wang

Proceedings Volume 8506, Developments in X-Ray Tomography VIII; 85061V (2012) https://doi.org/10.1117/12.932246
Event: SPIE Optical Engineering + Applications, 2012, San Diego, California, United States

Abstract

To utilize the synergy between CT and MR datasets from an object at the same time, a unified dual-modality image reconstruction approach is proposed using a dual-dictionary learning technique. The key is to establish a knowledgebased connection between these two datasets for a tight fusion of different imaging modalities. Our scheme consists of three inter-related elements: dual-dictionary learning, CT image reconstruction, and MR image reconstruction. Our experiments show that even with highly under-sampled MR data and few x-ray projections, we can still satisfactorily reconstruct both MR and CT images. This approach can be potentially useful for a CT-MRI system.

Citation Download Citation

Yang Lu, Jun Zhao, Tiange Zhuang, and Ge Wang "Unified dual-modality image reconstruction with dual dictionaries", Proc. SPIE 8506, Developments in X-Ray Tomography VIII, 85061V (17 October 2012); https://doi.org/10.1117/12.932246

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