Content-Based Estimation of Brain MRI Tilt in Three Orthogonal Directions.
In a general scenario, the brain images acquired from magnetic resonance imaging (MRI) may experience tilt, distorting brain MR images. The tilt experienced by the brain MR images may result in misalignment during image registration for medical applications. Manually correcting (or estimating) the t...
| Published in: | Journal of Digital Imaging Vol. 34; no. 3; pp. 760 - 772 |
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| Main Authors: | , , , , , , |
| Format: | diagnostic images equations & formulas pictorial research tables/charts Journal Article |
| Published: |
Springer Nature
Jun2021
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=151702152&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 151702152 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Jun2021 vid: 34 iid: 3 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 151702152 151702152 151702152 10.1007/s10278-020-00400-7 151702152 ppf: 760 ppct: 12 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Content-Based Estimation of Brain MRI Tilt in Three Orthogonal Directions. aug: au: Prabhu, Pooja Karunakar, A. K. Sinha, Sanjib Mariyappa, N. Bhargava, G. K. Velmurugan, J. Anitha, H. affil: Department of Computer Applications, Manipal Institute of Technology, Manipal Academy of Higher Education, 576104, Manipal, Karnataka, India sug: subj: Brain Anatomy and Histology Magnetic Resonance Imaging Methods Tilt Evaluation Human Brain Pathology Image Processing, Computer Assisted Factor Analysis Regression Algorithms ab: In a general scenario, the brain images acquired from magnetic resonance imaging (MRI) may experience tilt, distorting brain MR images. The tilt experienced by the brain MR images may result in misalignment during image registration for medical applications. Manually correcting (or estimating) the tilt on a large scale is time-consuming, expensive, and needs brain anatomy expertise. Thus, there is a need for an automatic way of performing tilt correction in three orthogonal directions (X, Y, Z). The proposed work aims to correct the tilt automatically by measuring the pitch angle, yaw angle, and roll angle in X-axis, Z-axis, and Y-axis, respectively. For correction of the tilt around the Z-axis (pointing to the superior direction), image processing techniques, principal component analysis, and similarity measures are used. Also, for correction of the tilt around the X-axis (pointing to the right direction), morphological operations, and tilt correction around the Y-axis (pointing to the anterior direction), orthogonal regression is used. The proposed approach was applied to adjust the tilt observed in the T1- and T2-weighted MR images. The simulation study with the proposed algorithm yielded an error of 0.40 ± 0.09°, and it outperformed the other existing studies. The tilt angle (in degrees) obtained is ranged from 6.2 ± 3.94, 2.35 ± 2.61, and 5 ± 4.36 in X-, Z-, and Y-directions, respectively, by using the proposed algorithm. The proposed work corrects the tilt more accurately and robustly when compared with existing studies. pubtype: Academic Journal doctype: diagnostic images equations & formulas pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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