Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/13046
Title: Fast registration of contrast-enhanced magnetic resonance images of the breast
Authors: SUN YIN
Keywords: Image registration
Issue Date: 2-Dec-2007
Source: SUN YIN (2007-12-02). Fast registration of contrast-enhanced magnetic resonance images of the breast. ScholarBank@NUS Repository.
Abstract: Contrast-enhanced magnetic resonance (MR) imaging is an effectivetool for the detection and analysis of female breast cancer. Theimaging protocol consists of 3D volumes acquired at different timesbefore and after the administration of a contrast agent.Intensity-time profiles are constructed for every voxel to aid inthe diagnosis process. However, because of the voluntary orinvoluntary movements of the patients, the images have to beregistered before a diagnosis can be reliably given.Nonrigid deformation based on B-splines optimizing the normalizedmutual information (NMI) criterion has proved to be successful inthis registration task involving elastic deformations. In the firstpart of this work, we have proposed a fast approximation algorithmto estimate the gradient of NMI using a set of auxiliary imagesconstructed from the image conditional probability distributions.Our method could speed up the registration process by an order ofmagnitude with similar registration quality. In the second part, weaimed to further speed up the registration process by offloading thebulk of the computational load to the GPU hardware for efficientprocessing. We exploited the single instruction multiple data (SIMD)processing capabilities and the dedicated interpolation hardware toobtain a further speed up of 15-30 times compared to CPUimplementation.
URI: http://scholarbank.nus.edu.sg/handle/10635/13046
Appears in Collections:Master's Theses (Open)

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
thesis.pdf551.43 kBAdobe PDF

OPEN

NoneView/Download

Page view(s)

179
checked on Dec 18, 2017

Download(s)

156
checked on Dec 18, 2017

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.