3D reconstruction of spine image from 2D MRI slices along one axis. Issue 12 (8th September 2020)

• Record Type: Journal Article
• Authors: Ghoshal, Somoballi; Banu, Sourav; Chakrabarti, Amlan; Sur‐Kolay, Susmita; Pandit, Alok
• Is Part Of: IET image processing. Volume 14:Issue 12(2020)
• Page Start: 2746
• Page End: 2755
• Publication Date: 2020-09-08
• Subjects: interpolation -- image reconstruction -- biomedical MRI -- medical image processing; spine image -- MRI -- magnetic resonance imaging -- three‐dimensional image -- reasonable slice gap -- orthogonal axis; Image processing -- Periodicals; 621.36705
• DOI: 10.1049/iet-ipr.2019.0800
• Languages: English
• ISSNs: 1751-9659

Abstract

Abstract : 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%.