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A comparison of hole-filling methods for 3D medical data reconstruction and visualization

3D medical imaging can help the physicians to understand the patient anatomy, such as 3D ultrasound and 3D CT scan. In the case of 3D ultrasound reconstruction, the pixel nearest neighbour is one of the popular methods used. The hole-filling method in pixel nearest neighbour can fill in the empty vo...

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Main Authors: Chan, Vei Siang, Mohamed, Farhan
Format: Article
Language:English
Published: Penerbit UTM Press 2019
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/85241/1/FarhanMohamed2019_AComparisonofHolefillingMethods.pdf
http://eprints.utm.my/id/eprint/85241/
https://dx.doi.org/10.11113/ijic.v9n2.236
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spelling my.utm.852412020-03-17T08:10:46Z http://eprints.utm.my/id/eprint/85241/ A comparison of hole-filling methods for 3D medical data reconstruction and visualization Chan, Vei Siang Mohamed, Farhan QA75 Electronic computers. Computer science 3D medical imaging can help the physicians to understand the patient anatomy, such as 3D ultrasound and 3D CT scan. In the case of 3D ultrasound reconstruction, the pixel nearest neighbour is one of the popular methods used. The hole-filling method in pixel nearest neighbour can fill in the empty voxel data which is not captured by the ultrasound. Thus, this paper studied the various hole-filling methods in the pixel nearest neighbour method to reconstruct the missing voxels. Besides that, an alternative method is also introduced based on the modified butterfly interpolation scheme. The experiment setup is designed to test the efficiency of the hole-filling method for 3D medical data visualisation by using mean absolute error as well as qualitatively compare the visualization of the reconstruction results. The proposed method can extract smooth skin from the reconstruction volume, although it has a high average MAE result. Penerbit UTM Press 2019 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/85241/1/FarhanMohamed2019_AComparisonofHolefillingMethods.pdf Chan, Vei Siang and Mohamed, Farhan (2019) A comparison of hole-filling methods for 3D medical data reconstruction and visualization. International Journal of Innovative Computing, 9 (2). pp. 35-41. ISSN 2180-4370 https://dx.doi.org/10.11113/ijic.v9n2.236 DOI:10.11113/ijic.v9n2.236
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 QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Chan, Vei Siang
Mohamed, Farhan
A comparison of hole-filling methods for 3D medical data reconstruction and visualization
description 3D medical imaging can help the physicians to understand the patient anatomy, such as 3D ultrasound and 3D CT scan. In the case of 3D ultrasound reconstruction, the pixel nearest neighbour is one of the popular methods used. The hole-filling method in pixel nearest neighbour can fill in the empty voxel data which is not captured by the ultrasound. Thus, this paper studied the various hole-filling methods in the pixel nearest neighbour method to reconstruct the missing voxels. Besides that, an alternative method is also introduced based on the modified butterfly interpolation scheme. The experiment setup is designed to test the efficiency of the hole-filling method for 3D medical data visualisation by using mean absolute error as well as qualitatively compare the visualization of the reconstruction results. The proposed method can extract smooth skin from the reconstruction volume, although it has a high average MAE result.
format Article
author Chan, Vei Siang
Mohamed, Farhan
author_facet Chan, Vei Siang
Mohamed, Farhan
author_sort Chan, Vei Siang
title A comparison of hole-filling methods for 3D medical data reconstruction and visualization
title_short A comparison of hole-filling methods for 3D medical data reconstruction and visualization
title_full A comparison of hole-filling methods for 3D medical data reconstruction and visualization
title_fullStr A comparison of hole-filling methods for 3D medical data reconstruction and visualization
title_full_unstemmed A comparison of hole-filling methods for 3D medical data reconstruction and visualization
title_sort comparison of hole-filling methods for 3d medical data reconstruction and visualization
publisher Penerbit UTM Press
publishDate 2019
url http://eprints.utm.my/id/eprint/85241/1/FarhanMohamed2019_AComparisonofHolefillingMethods.pdf
http://eprints.utm.my/id/eprint/85241/
https://dx.doi.org/10.11113/ijic.v9n2.236
_version_ 1662754371571548160
score 13.211869

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