AbstractsMedical & Health Science

Investigation in super resolution Techniques as applied to MRI and General imagery;

by Kathiravan S




Institution: Anna University
Department: Investigation in super resolution Techniques as applied to MRI and General imagery
Year: 2015
Keywords: High frequency; Signal to noise ratio; Super resolution
Record ID: 1193908
Full text PDF: http://shodhganga.inflibnet.ac.in/handle/10603/34160


Abstract

Super resolution SR is the process of generating a raster image with newlinea higher resolution than its source The source can consist of one or more newlineimages or frames Since acquiring a magnetic resonance MR image with newlinehigh spatial resolution is difficult due to a number of limitations such as newlinesignal to noise ratio SNR increased cost data transfer rate hardware time newlinelimitations and patient s comfort Conventional interpolation methods are not newlineable to recuperate the high frequency HF information lost during the newlineacquisition process Interpolation techniques estimate new points assuming newlinethat the existing ones in the low resolution LR image have the same value in newlinethe high resolution HR images which is only valid within homogeneous newlineregions As a result interpolated images are typically blurred versions of the newlineunderlying HR images In this work a novel SR methodology namely the newlineepipolar super resolution technique is proposed This technique recovers the newlinelost HF information using epipolar HR images The proposed method is based newlineon the assumption that if a registered HR image volume of the reference brain newlinedata from the same or other modality is available then anatomical information newlinefrom this HR brain data can be used to recuperate additional structure in the newlineSR reconstructed LR data Furthermore noise in the LR data can be newlineminimized using mean correction newline newline%%%reference p142-165.