Soft tissue reconstruction for craniofacial surgery planning

Computer Assisted Surgery (CAS) systems strive to enhance the surgeon’s capabilities to utilize medical imagery to decrease the invasiveness of surgical procedures and increase their accuracy and safety. Image guided surgery systems facilitate surgical planning and analysis by aligning various dat...

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Main Authors: Rana, Mohammad Azam, Setan, Halim, Majid, Zulkepli, Chong, Albert K.
Format: Conference or Workshop Item
Language:English
Published: 2006
Subjects:
Online Access:http://eprints.utm.my/id/eprint/1722/1/HalimSetan2006_Softtissuereconstructionforcraniofacialsurgery.pdf
http://eprints.utm.my/id/eprint/1722/
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spelling my.utm.17222017-08-23T01:22:05Z http://eprints.utm.my/id/eprint/1722/ Soft tissue reconstruction for craniofacial surgery planning Rana, Mohammad Azam Setan, Halim Majid, Zulkepli Chong, Albert K. TA Engineering (General). Civil engineering (General) Computer Assisted Surgery (CAS) systems strive to enhance the surgeon’s capabilities to utilize medical imagery to decrease the invasiveness of surgical procedures and increase their accuracy and safety. Image guided surgery systems facilitate surgical planning and analysis by aligning various datasets with information on morphology (MR, CT, MR angiographies), cortical function (fMRI) or metabolic activity (PET, SPECT). These systems are categorized into performing one or more of the functions such as data analysis, surgical planning and surgical guidance, etc. The surgical planning systems present surgeons with data gathered prior to surgery and facilitate in plotting an approach trajectory that avoids critical structures such as blood vessels etc. Computer tomography (CT) and magnetic resonance imagery (MRI) has had an enormous impact in medicine during the past two decades and has been widely used for surgical planners. Craniofacial anomalies and fine anatomic details of facial traumic injuries can be well studied with such imaging techniques. The research focuses on development of a system for simulation of craniofacial reconstruction surgery that is based on volumetric object models derived from 3D Computer Tomography (CT) imaging. Feedback is provided to the user via real-time volume rendering. The system is the result of collaboration between a university, an industrial research organization and a research hospital. In this paper, components of the system are detailed and the current state of the integrated system is presented. Issues related to future research and plans for expanding the current system are discussed. 2006-09 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/1722/1/HalimSetan2006_Softtissuereconstructionforcraniofacialsurgery.pdf Rana, Mohammad Azam and Setan, Halim and Majid, Zulkepli and Chong, Albert K. (2006) Soft tissue reconstruction for craniofacial surgery planning. In: International Symposium and Exhibition on Geoinformation 2006, 19-21 Sept 2006, Shah Alam, Selangor. http://www.voronoi.com/isg2013/Home.html
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Rana, Mohammad Azam
Setan, Halim
Majid, Zulkepli
Chong, Albert K.
Soft tissue reconstruction for craniofacial surgery planning
description Computer Assisted Surgery (CAS) systems strive to enhance the surgeon’s capabilities to utilize medical imagery to decrease the invasiveness of surgical procedures and increase their accuracy and safety. Image guided surgery systems facilitate surgical planning and analysis by aligning various datasets with information on morphology (MR, CT, MR angiographies), cortical function (fMRI) or metabolic activity (PET, SPECT). These systems are categorized into performing one or more of the functions such as data analysis, surgical planning and surgical guidance, etc. The surgical planning systems present surgeons with data gathered prior to surgery and facilitate in plotting an approach trajectory that avoids critical structures such as blood vessels etc. Computer tomography (CT) and magnetic resonance imagery (MRI) has had an enormous impact in medicine during the past two decades and has been widely used for surgical planners. Craniofacial anomalies and fine anatomic details of facial traumic injuries can be well studied with such imaging techniques. The research focuses on development of a system for simulation of craniofacial reconstruction surgery that is based on volumetric object models derived from 3D Computer Tomography (CT) imaging. Feedback is provided to the user via real-time volume rendering. The system is the result of collaboration between a university, an industrial research organization and a research hospital. In this paper, components of the system are detailed and the current state of the integrated system is presented. Issues related to future research and plans for expanding the current system are discussed.
format Conference or Workshop Item
author Rana, Mohammad Azam
Setan, Halim
Majid, Zulkepli
Chong, Albert K.
author_facet Rana, Mohammad Azam
Setan, Halim
Majid, Zulkepli
Chong, Albert K.
author_sort Rana, Mohammad Azam
title Soft tissue reconstruction for craniofacial surgery planning
title_short Soft tissue reconstruction for craniofacial surgery planning
title_full Soft tissue reconstruction for craniofacial surgery planning
title_fullStr Soft tissue reconstruction for craniofacial surgery planning
title_full_unstemmed Soft tissue reconstruction for craniofacial surgery planning
title_sort soft tissue reconstruction for craniofacial surgery planning
publishDate 2006
url http://eprints.utm.my/id/eprint/1722/1/HalimSetan2006_Softtissuereconstructionforcraniofacialsurgery.pdf
http://eprints.utm.my/id/eprint/1722/
http://www.voronoi.com/isg2013/Home.html
_version_ 1643643399917535232
score 13.222552