EVALUATION OF INTERPOLATION AND REGISTRATION TECHNIQUES IN MAGNETIC RESONANCE IMAGE FOR ORTHOGONAL PLANE SUPER RESOLUTION RECONSTRUCTION

Super resolution reconstruction (SRR) combines several perspectives of an image (typically low resolution) in order to reconstruct a more complete and comprehensive (higher resolution) image. The aim is to use this concept on magnetic resonance imaging (MRI) data, for which the standard is to scan in several-plane orientation in a 2D fashion. As a result, clinical MRI, functional MRI (FMRI), diffusion weighted imaging (DWI)/diffusion tensor imaging (DTI), and MR angiography (MRA) tend to have high in- plane resolution but low resolution in the slice-select direction. By combining the 2 scans of the orthogonal plane, new 3D images can be reconstructed. This thesis addresses the principal problem of image quality and considers a novel SRR technique that uses the original information from 3 MRI plane orientations in order to enhance the resolution based on prior knowledge of scanning protocol as it relates to voxel resolution. The procedure for validating the MRI data algorithm is executed using MRI dataset of a human brain. The mean squared error (MSE) and peak signal-to-noise ratio (PSNR) were computed for quantitative assessment, whereas the qualitative assessment was performed by visually comparing the SR images to the original HR.

Name thesis:degree_name

Master of Science in Engineering (MSEgr)

Level thesis:degree_level

masters

Discipline thesis:degree_discipline

Biomedical Engineering

Grantor dc:publisher

Wright State University

Year dc:date

2012

Author dc:creator

• Mahmoudzadeh, Amir Pasha

Contributors dc:contributor

• Kashou, Nasser H

• Biomedical Engineering
• Biomedical Research
• Engineering
• Super resolution reconstruction
• Interpolation
• Registration
• Image enhancement
• MR Image

Statement dc:rights

• unrestricted
• This thesis or dissertation is protected by copyright: some rights reserved. It is licensed for use under a Creative Commons license. Specific terms and permissions are available from this document's record in the OhioLINK ETD Center.

Language dc:language

English

Repository record dc:identifier

http://rave.ohiolink.edu/etdc/view?acc_num=wright1364057521

OAI identifier oai:identifier

oai:etd.ohiolink.edu:wright1364057521