On super-resolution for fetal brain MRI.

Details

Serval ID
serval:BIB_BBC0BCB225F1
Type
Article: article from journal or magazin.
Collection
Publications
Title
On super-resolution for fetal brain MRI.
Journal
Medical image computing and computer-assisted intervention
Author(s)
Rousseau F., Kim K., Studholme C., Koob M., Dietemann J.L.
Publication state
Published
Issued date
2010
Peer-reviewed
Oui
Volume
13
Number
Pt 2
Pages
355-362
Language
english
Notes
Publication types: Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Abstract
Super-resolution techniques provide a route to studying fine scale anatomical detail using multiple lower resolution acquisitions. In particular, techniques that do not depend on regular sampling can be used in medical imaging situations where imaging time and resolution are limited by subject motion. We investigate in this work the use of a super-resolution technique for anisotropic fetal brain MR data reconstruction without modifying the data acquisition protocol. The approach, which consists of iterative motion correction and high resolution image estimation, is compared with a previously used scattered data interpolation-based reconstruction method. To optimize acquisition time, an evaluation of the influence of the number of input images and image noise is also performed. Evaluation on simulated MR images and real data show significant improvements in performance provided by the super-resolution approach.

Keywords
Algorithms, Brain/anatomy & histology, Brain/embryology, Humans, Image Enhancement/methods, Image Interpretation, Computer-Assisted/methods, Imaging, Three-Dimensional/methods, Magnetic Resonance Imaging/methods, Prenatal Diagnosis/methods, Reproducibility of Results, Sensitivity and Specificity
Pubmed
Create date
28/08/2017 13:32
Last modification date
20/08/2019 15:29
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