Open Access3D reconstruction of spine image from 2D MRI slices along one axis
Author(s) -
Ghoshal Somoballi,
Banu Sourav,
Chakrabarti Amlan,
SurKolay Susmita,
Pandit Alok
Publication year - 2020
Publication title -
iet image processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.401
H-Index - 45
eISSN - 1751-9667
pISSN - 1751-9659
DOI - 10.1049/iet-ipr.2019.0800
Subject(s) - bicubic interpolation , bilinear interpolation , interpolation (computer graphics) , computer science , artificial intelligence , computer vision , real time mri , image (mathematics) , magnetic resonance imaging , iterative reconstruction , algorithm , multivariate interpolation , radiology , medicine
Magnetic resonance imaging (MRI) is a very effective method for identifying any abnormality in the structure and physiology of the spine. However, MRI is time consuming as well as costly. In this work, the authors propose an algorithm which can reduce the time of MRI and thus the cost, with minimal compromise on accuracy. They reconstruct a three‐dimensional (3D) image of the spine from a sequence of 2D MRI slices along any one axis with reasonable slice gap. In order to preserve the image at the edges properly, they regenerate the 3D image by using a combination of bicubic and bilinear interpolation along the orthogonal axis. From the reconstructed 3D, they use a simple geometric method to slice out any possible location along any axis and get the information in that region. They have tested their algorithm on real data, and found that their algorithm reduces the time by 80%, with high internal data preservation accuracy of about 96%.