Combining short-axis and long-axis cardiac MR images by applying a super-resolution reconstruction algorithm

Sami u. Rahman; Stefan Wesarg

doi:10.1117/12.844356

12 March 2010 Combining short-axis and long-axis cardiac MR images by applying a super-resolution reconstruction algorithm

Sami u. Rahman, Stefan Wesarg

Author Affiliations +

Proceedings Volume 7623, Medical Imaging 2010: Image Processing; 76230I (2010) https://doi.org/10.1117/12.844356
Event: SPIE Medical Imaging, 2010, San Diego, California, United States

Abstract

In cardiac MR images the slice thickness is normally greater than the pixel size within the slices. In general, better segmentation and analysis results can be expected for isotropic high-resolution (HR) data sets. If two orthogonal data sets, e. g. short-axis (SA) and long-axis (LA) volumes are combined, an increase in resolution can be obtained. In this work we employ a super-resolution reconstruction (SRR) algorithm for computing high-resolution data sets from two orthogonal SA and LA volumes. In contrast to a simple averaging of both data in the overlapping region, we apply a maximum a posteriori approach. There, an observation model is employed for estimating an HR image that best reproduces the two low-resolution input data sets. For testing the SRR approach, we use clinical MRI data with an in-plane resolution of 1.5 mm×1.5 mm and a slice thickness of 8 mm. We show that the results obtained with our approach are superior to currently used averaging techniques. Due to the fact that the heart deforms over the cardiac cycle, we investigate further, how the replacement of a rigid registration by a deformable registration as preprocessing step improves the quality of the final HR image data. We conclude that image quality is dramatically enhanced by applying an SRR technique especially for cardiac MR images where the resolution in slice-selection direction is about five times lower than within the slices.

Citation Download Citation

Sami u. Rahman and Stefan Wesarg "Combining short-axis and long-axis cardiac MR images by applying a super-resolution reconstruction algorithm", Proc. SPIE 7623, Medical Imaging 2010: Image Processing, 76230I (12 March 2010); https://doi.org/10.1117/12.844356

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