Algorithms for biomedical image reconstruction and rendering

The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze. This report details the project taken by the author which shows how the Insight Development ToolKit (ITK) can be used to develop biomedical images from r...

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Main Author: Foo, Dillion Jia Yew.
Other Authors: Lin Feng
Format: Final Year Project
Language:English
Published: 2010
Subjects:
Online Access:http://hdl.handle.net/10356/39781
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-397812023-03-03T20:25:01Z Algorithms for biomedical image reconstruction and rendering Foo, Dillion Jia Yew. Lin Feng School of Computer Engineering Emerging Research Lab DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze. This report details the project taken by the author which shows how the Insight Development ToolKit (ITK) can be used to develop biomedical images from radiography for image analysis. For the project, the author illustrates how the various classes provided by ITK can be used to segment a particular image and how these classes, when combined with each other can produce an improved image which can be used to yield a better image analysis. The results of this project are the segmented images and their statistical distribution within the original image. Bachelor of Engineering (Computer Engineering) 2010-06-04T02:23:51Z 2010-06-04T02:23:51Z 2010 2010 Final Year Project (FYP) http://hdl.handle.net/10356/39781 en Nanyang Technological University 39 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
spellingShingle DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
Foo, Dillion Jia Yew.
Algorithms for biomedical image reconstruction and rendering
description The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze. This report details the project taken by the author which shows how the Insight Development ToolKit (ITK) can be used to develop biomedical images from radiography for image analysis. For the project, the author illustrates how the various classes provided by ITK can be used to segment a particular image and how these classes, when combined with each other can produce an improved image which can be used to yield a better image analysis. The results of this project are the segmented images and their statistical distribution within the original image.
author2 Lin Feng
author_facet Lin Feng
Foo, Dillion Jia Yew.
format Final Year Project
author Foo, Dillion Jia Yew.
author_sort Foo, Dillion Jia Yew.
title Algorithms for biomedical image reconstruction and rendering
title_short Algorithms for biomedical image reconstruction and rendering
title_full Algorithms for biomedical image reconstruction and rendering
title_fullStr Algorithms for biomedical image reconstruction and rendering
title_full_unstemmed Algorithms for biomedical image reconstruction and rendering
title_sort algorithms for biomedical image reconstruction and rendering
publishDate 2010
url http://hdl.handle.net/10356/39781
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