Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/143323
Title: TOWARDS AUTOMATIC AND CONSISTENT CARDIAC ANALYSIS
Authors: MAHSA PAKNEZHAD
ORCID iD:   orcid.org/0000-0001-5280-202X
Keywords: Medical Image Processing, Cardiac MRI, Tagged MRI, Cine MRI, Basal Slice Selection, Myocardium Strain Analysis
Issue Date: 8-Nov-2017
Citation: MAHSA PAKNEZHAD (2017-11-08). TOWARDS AUTOMATIC AND CONSISTENT CARDIAC ANALYSIS. ScholarBank@NUS Repository.
Abstract: This thesis provides algorithms for cardiac image analysis with the purpose of increasing automation and decreasing human error in cardiac function evaluation. Analysis of the cardiac function and identification of any potential cardiovascular disease is often performed using imaging technologies such as magnetic resonance imaging. After segmenting the heart from the acquired images, evaluation and analysis is carried out by certain clinical parameters and regional indicators that are calculated from the extracted heart. Diagnosis is highly sensitive to the segmentations and other image-driven inputs. Consequently, significant steps have been taken towards providing effective tools for automatic analysis of the heart with the goal of improving accuracy of the evaluations and reproducibility of the results as well as decreasing the processing time. There remains, however, many steps in the evaluation process that still lack automation or accuracy. Examples of such cases are selection of the slices which are within a specific cardiac chamber or accurate myocardium tracking of the heart in a particular imaging technique called myocardial tagging.
URI: http://scholarbank.nus.edu.sg/handle/10635/143323
Appears in Collections:Ph.D Theses (Open)

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