Paper Info
Title
High resolution 3-D MR image reconstruction from multiple views
Abstract
This paper introduces an efficient technique to reconstruct the volume of human brain from low resolution MR image sequences acquired in sagittal, coronal and axial views. The algorithm uses image interpolation as the basis of volume reconstruction. It works in different stages. At first, the brightness and contrast of the MR images in different views are normalized based on the repetition time (TR) and echo time (TE) used during the MR imaging. Alignment of MR image sequences in different views is performed based on a standard 3D human brain anatomical model. Based on the alignment information, the spatial resolution of the MR images in all of the three views are normalized. Furthermore, a technique using normalized cross-correlation has been applied to refine the alignment process. Finally, the high resolution volume of the brain is reconstructed by interpolation based on inverse distance weighing. The proposed volume reconstruction scheme shows promising results producing good quality of the reconstructed volume images.
Year
DOI
Venue
2012
10.1145/2425333.2425337
ICVGIP
Keywords
Field
DocType
different view,mr imaging,mr image,multiple view,volume reconstruction,mr image sequence,human brain,low resolution mr image,high resolution volume,proposed volume reconstruction scheme,3-d mr image reconstruction,reconstructed volume image,image interpolation
Iterative reconstruction,Computer vision,Normalization (statistics),Pattern recognition,Computer science,Interpolation,Artificial intelligence,Volume reconstruction,Sagittal plane,Image resolution,Brightness,Image scaling
Conference
Citations 
PageRank 
References 
0
0.34
6
Authors
4
Name
Order
Citations
PageRank
Prasenjit Mondal132.26
Jayanta Mukherjee237856.06
Shamik Sural3100896.36
Pinak Pani Bhattacharyya400.68