Please use this identifier to cite or link to this item:
Title: Kidney segmentation in 4-dimensional dynamic contrast- enhanced MR images : A physiological approach
Keywords: MRI, dynamic, segmentation, kidney, clustering, FAMIS
Issue Date: 27-Nov-2007
Citation: SUYBENG VOREAK (2007-11-27). Kidney segmentation in 4-dimensional dynamic contrast- enhanced MR images : A physiological approach. ScholarBank@NUS Repository.
Abstract: Four-dimensional dynamic contrast enhanced-magnetic resonance imaging (4-D DCE-MRI) is an emerging clinical tool in paediatric urology. It involves administration of a contrast agent whose journey through the kidneys is monitored over time.This thesis proposes two types of techniques to segment kidney tissues in 4-D DCE-MRI by exploiting the kinetics of contrast agent uptake in abdominal tissues. A clustering based technique identifies groups of voxels that share similar time courses and associates each group to a different tissue type. A factor analysis based technique (FAMIS) with novel constraints yields factors that describe physiologically both the spatial distribution and temporal behaviour of the different tissue types.The techniques are validated over a wide range of 20 patient MR data sets and results show good agreement with the manual segmentation performed by the expert. Especially, the FAMIS technique has the potential to produce physiologically interpretable factors.
Appears in Collections:Master's Theses (Open)

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
SuybengV.pdf3.02 MBAdobe PDF



Page view(s)

checked on Apr 26, 2019


checked on Apr 26, 2019

Google ScholarTM


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