IEICE TRANSACTIONS on Fundamentals
Surface Reconstruction of Renal Corpuscle from Microscope Renal Biopsy Image Sequence
Summary :
The three dimensional (3D) reconstruction of a medical image sequence can provide intuitive morphologies of a target and help doctors to make more reliable diagnosis and give a proper treatment plan. This paper aims to reconstruct the surface of a renal corpuscle from the microscope renal biopsy image sequence. First, the contours of renal corpuscle in all slices are extracted automatically by using a context-based segmentation method with a coarse registration. Then, a new coevolutionary-based strategy is proposed to realize a fine registration. Finally, a Gauss-Seidel iteration method is introduced to achieve a non-rigid registration. Benefiting from the registrations, a smooth surface of the target can be reconstructed easily. Experimental results prove that the proposed method can effectively register the contours and give an acceptable surface for medical doctors.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E99-A No.12 pp.2539-2546
- Publication Date
- 2016/12/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E99.A.2539
- Type of Manuscript
- PAPER
- Category
- Image
Authors
Keyword
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Jun ZHANG, Jinglu HU, "Surface Reconstruction of Renal Corpuscle from Microscope Renal Biopsy Image Sequence" in IEICE TRANSACTIONS on Fundamentals,
vol. E99-A, no. 12, pp. 2539-2546, December 2016, doi: 10.1587/transfun.E99.A.2539.
Abstract: The three dimensional (3D) reconstruction of a medical image sequence can provide intuitive morphologies of a target and help doctors to make more reliable diagnosis and give a proper treatment plan. This paper aims to reconstruct the surface of a renal corpuscle from the microscope renal biopsy image sequence. First, the contours of renal corpuscle in all slices are extracted automatically by using a context-based segmentation method with a coarse registration. Then, a new coevolutionary-based strategy is proposed to realize a fine registration. Finally, a Gauss-Seidel iteration method is introduced to achieve a non-rigid registration. Benefiting from the registrations, a smooth surface of the target can be reconstructed easily. Experimental results prove that the proposed method can effectively register the contours and give an acceptable surface for medical doctors.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E99.A.2539/_p
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@ARTICLE{e99-a_12_2539,
author={Jun ZHANG, Jinglu HU, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Surface Reconstruction of Renal Corpuscle from Microscope Renal Biopsy Image Sequence},
year={2016},
volume={E99-A},
number={12},
pages={2539-2546},
abstract={The three dimensional (3D) reconstruction of a medical image sequence can provide intuitive morphologies of a target and help doctors to make more reliable diagnosis and give a proper treatment plan. This paper aims to reconstruct the surface of a renal corpuscle from the microscope renal biopsy image sequence. First, the contours of renal corpuscle in all slices are extracted automatically by using a context-based segmentation method with a coarse registration. Then, a new coevolutionary-based strategy is proposed to realize a fine registration. Finally, a Gauss-Seidel iteration method is introduced to achieve a non-rigid registration. Benefiting from the registrations, a smooth surface of the target can be reconstructed easily. Experimental results prove that the proposed method can effectively register the contours and give an acceptable surface for medical doctors.},
keywords={},
doi={10.1587/transfun.E99.A.2539},
ISSN={1745-1337},
month={December},}
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TY - JOUR
TI - Surface Reconstruction of Renal Corpuscle from Microscope Renal Biopsy Image Sequence
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2539
EP - 2546
AU - Jun ZHANG
AU - Jinglu HU
PY - 2016
DO - 10.1587/transfun.E99.A.2539
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E99-A
IS - 12
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - December 2016
AB - The three dimensional (3D) reconstruction of a medical image sequence can provide intuitive morphologies of a target and help doctors to make more reliable diagnosis and give a proper treatment plan. This paper aims to reconstruct the surface of a renal corpuscle from the microscope renal biopsy image sequence. First, the contours of renal corpuscle in all slices are extracted automatically by using a context-based segmentation method with a coarse registration. Then, a new coevolutionary-based strategy is proposed to realize a fine registration. Finally, a Gauss-Seidel iteration method is introduced to achieve a non-rigid registration. Benefiting from the registrations, a smooth surface of the target can be reconstructed easily. Experimental results prove that the proposed method can effectively register the contours and give an acceptable surface for medical doctors.
ER -
English
