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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2010
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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 |
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DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences Foo, Dillion Jia Yew. Algorithms for biomedical image reconstruction and rendering |
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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. |
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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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1759855379663028224 |