DocumentCode
2218725
Title
Regularization in super-resolution reconstruction of biomedical images using gradient vector field
Author
Zhang, Xin ; Lam, Edmund Y.
Author_Institution
Dept. of Electr. & Electron. Eng., Univ. of Hong Kong, Hong Kong
fYear
2008
fDate
30-31 May 2008
Firstpage
98
Lastpage
100
Abstract
The paper presents a method for regularization parameter in super-resolution reconstruction of biomedical images using the gradient vector field of a preliminary high resolution image. This works well in suppressing artifacts and excessive smoothing compared with Tikhonov regularization. Experiments of synthetic and real MRI images are presented to verify the performance of reconstruction.
Keywords
biomedical MRI; image reconstruction; image resolution; medical image processing; smoothing methods; MRI images; Tikhonov regularization; artifact suppression; biomedical images; gradient vector field; regularization parameter; smoothing method; superresolution reconstruction; Biomedical engineering; Biomedical imaging; Image reconstruction; Image resolution; Information technology; Magnetic resonance imaging; Optical imaging; Smoothing methods; Spatial resolution; Ultrasonic imaging;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology and Applications in Biomedicine, 2008. ITAB 2008. International Conference on
Conference_Location
Shenzhen
Print_ISBN
978-1-4244-2254-8
Electronic_ISBN
978-1-4244-2255-5
Type
conf
DOI
10.1109/ITAB.2008.4570612
Filename
4570612
Link To Document