3D CT data segmentation/ Lai Chew Ping

The purpose of this project is to explore, understand and utilize a three- dimensional (3D) Visualization and segmentation software to perform segmentation on 3D Computed tomography (CT) data sets. The software selected in this project is Amira developer version 3.0 A step by step guide on how segme...

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Bibliographic Details
Main Author: Lai , Chew Ping
Format: Thesis
Published: 2005
Subjects:
Online Access:http://studentsrepo.um.edu.my/10959/
http://studentsrepo.um.edu.my/10959/1/Lai_Chew_Ping_(3D_CT_Data_Sementation).pdf
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author Lai , Chew Ping
author_facet Lai , Chew Ping
author_sort Lai , Chew Ping
building UM Research Repository
collection Online Access
description The purpose of this project is to explore, understand and utilize a three- dimensional (3D) Visualization and segmentation software to perform segmentation on 3D Computed tomography (CT) data sets. The software selected in this project is Amira developer version 3.0 A step by step guide on how segmentation is done using Amira is shown.This report contains six chapters which uncovered the details of the project from the initial planning to analysis and design as well as implementation at the end of the project. It includes the selection of development tools, methodology, system requirements and hierarchy. Finally, the discussions on problems encountered and recommended solutions, system strength and limitation, future enhancements and conclusion are provided.
first_indexed 2025-11-14T13:55:28Z
format Thesis
id um-10959
institution University Malaya
institution_category Local University
last_indexed 2025-11-14T13:55:28Z
publishDate 2005
recordtype eprints
repository_type Digital Repository
spelling um-109592020-04-20T18:24:26Z 3D CT data segmentation/ Lai Chew Ping Lai , Chew Ping QA75 Electronic computers. Computer science QA76 Computer software The purpose of this project is to explore, understand and utilize a three- dimensional (3D) Visualization and segmentation software to perform segmentation on 3D Computed tomography (CT) data sets. The software selected in this project is Amira developer version 3.0 A step by step guide on how segmentation is done using Amira is shown.This report contains six chapters which uncovered the details of the project from the initial planning to analysis and design as well as implementation at the end of the project. It includes the selection of development tools, methodology, system requirements and hierarchy. Finally, the discussions on problems encountered and recommended solutions, system strength and limitation, future enhancements and conclusion are provided. 2005 Thesis NonPeerReviewed application/pdf http://studentsrepo.um.edu.my/10959/1/Lai_Chew_Ping_(3D_CT_Data_Sementation).pdf Lai , Chew Ping (2005) 3D CT data segmentation/ Lai Chew Ping. Undergraduates thesis, University of Malaya. http://studentsrepo.um.edu.my/10959/
spellingShingle QA75 Electronic computers. Computer science
QA76 Computer software
Lai , Chew Ping
3D CT data segmentation/ Lai Chew Ping
title 3D CT data segmentation/ Lai Chew Ping
title_full 3D CT data segmentation/ Lai Chew Ping
title_fullStr 3D CT data segmentation/ Lai Chew Ping
title_full_unstemmed 3D CT data segmentation/ Lai Chew Ping
title_short 3D CT data segmentation/ Lai Chew Ping
title_sort 3d ct data segmentation/ lai chew ping
topic QA75 Electronic computers. Computer science
QA76 Computer software
url http://studentsrepo.um.edu.my/10959/
http://studentsrepo.um.edu.my/10959/1/Lai_Chew_Ping_(3D_CT_Data_Sementation).pdf