Publication Type |
Journal Article |
School or College |
College of Engineering |
Department |
Electrical & Computer Engineering |
Creator |
Tasdizen, Tolga |
Other Author |
Iyer, Srikant K.; DiBella, Edward V. R. |
Title |
Edge enhanced spatio-temporal constrained reconstruction of undersampled dynamic contrast enhanced radial MRI |
Date |
2010 |
Description |
There are many applications in MRI where it is desirable to have high spatial and high temporal resolution. This can be achieved by undersampling of k-space and requires special techniques for reconstruction. Even if undersampling artifacts are removed, sharpness of the edges can be a problem. We propose a new technique that uses the gradient from a reference image to improve the quality of the edges in the reconstructed image along with a spatio-temporal constraint to reduce aliasing artifacts and noise. The reference is created from undersampled dynamic data by combining several adjacent frames. The method was tested on undersampled radial DCE MRI data with little respiratory motion. The proposed method was compared to reconstruction using the spatio-temporal constrained reconstruction. Sharper edges and an increase in the contrast was observed by using the proposed method. |
Type |
Text |
Publisher |
Institute of Electrical and Electronics Engineers (IEEE) |
First Page |
704 |
Last Page |
707 |
Language |
eng |
Bibliographic Citation |
Iyer, S. K., DiBella, E. V.R., & Tasdizen, T. (2010). Edge enhanced spatio-temporal constrained reconstruction of undersampled dynamic contrast enhanced radial MRI. IEEE International Symposium on Biomedical Imaging (ISBI): From Nano to Macro, 704-7. |
Rights Management |
(c) 2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
Format Medium |
application/pdf |
Format Extent |
414,504 bytes |
Identifier |
ir-main,15208 |
ARK |
ark:/87278/s6tq6k2d |
Setname |
ir_uspace |
ID |
705815 |
Reference URL |
https://collections.lib.utah.edu/ark:/87278/s6tq6k2d |