Three-dimensional reconstruction of liver from 2-D tomographic slices

Jin Shin Chou; Chin Tu Chen; Maryellen L. Giger; Charles E. Kahn; Kyongtae T. Bae; Wei Chung Lin

Three-dimensional reconstruction of liver from 2-D tomographic slices

Jin Shin Chou^*, Chin Tu Chen, Maryellen L. Giger, Charles E. Kahn, Kyongtae T. Bae, Wei Chung Lin

^*Corresponding author for this work

Electrical and Computer Engineering

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations

Abstract

Visualization of liver image data in three dimensions (3-D) can reveal new information to aid physicians in volume calculation and surgical planning. Liver image data are first extracted from a series of 2-D cross-sectional abdominal images by using an automated segmentation technique. An interpolation technique is then applied to construct a 3-D liver image data set having the same spatial resolution in all three directions. This 3-D liver image data set is used as an input in surface rendering and volume rendering to generate two sets of 3-D liver displays. We have applied our methods to clinical liver images obtained from cases of a living-donor liver transplant program.

Original language	English (US)
Pages (from-to)	45-50
Number of pages	6
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	1396
State	Published - Jan 1 1991
Event	Applications of Optical Engineering: Proceedings of OE/Midwest '90 - Rosemont, IL, USA Duration: Sep 27 1990 → Sep 28 1990

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

Cite this

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title = "Three-dimensional reconstruction of liver from 2-D tomographic slices",

abstract = "Visualization of liver image data in three dimensions (3-D) can reveal new information to aid physicians in volume calculation and surgical planning. Liver image data are first extracted from a series of 2-D cross-sectional abdominal images by using an automated segmentation technique. An interpolation technique is then applied to construct a 3-D liver image data set having the same spatial resolution in all three directions. This 3-D liver image data set is used as an input in surface rendering and volume rendering to generate two sets of 3-D liver displays. We have applied our methods to clinical liver images obtained from cases of a living-donor liver transplant program.",

author = "Chou, {Jin Shin} and Chen, {Chin Tu} and Giger, {Maryellen L.} and Kahn, {Charles E.} and Bae, {Kyongtae T.} and Lin, {Wei Chung}",

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language = "English (US)",

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journal = "Proceedings of SPIE - The International Society for Optical Engineering",

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T1 - Three-dimensional reconstruction of liver from 2-D tomographic slices

AU - Chou, Jin Shin

AU - Chen, Chin Tu

AU - Giger, Maryellen L.

AU - Kahn, Charles E.

AU - Bae, Kyongtae T.

AU - Lin, Wei Chung

PY - 1991/1/1

Y1 - 1991/1/1

N2 - Visualization of liver image data in three dimensions (3-D) can reveal new information to aid physicians in volume calculation and surgical planning. Liver image data are first extracted from a series of 2-D cross-sectional abdominal images by using an automated segmentation technique. An interpolation technique is then applied to construct a 3-D liver image data set having the same spatial resolution in all three directions. This 3-D liver image data set is used as an input in surface rendering and volume rendering to generate two sets of 3-D liver displays. We have applied our methods to clinical liver images obtained from cases of a living-donor liver transplant program.

AB - Visualization of liver image data in three dimensions (3-D) can reveal new information to aid physicians in volume calculation and surgical planning. Liver image data are first extracted from a series of 2-D cross-sectional abdominal images by using an automated segmentation technique. An interpolation technique is then applied to construct a 3-D liver image data set having the same spatial resolution in all three directions. This 3-D liver image data set is used as an input in surface rendering and volume rendering to generate two sets of 3-D liver displays. We have applied our methods to clinical liver images obtained from cases of a living-donor liver transplant program.

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M3 - Conference article

AN - SCOPUS:0025794590

SN - 0277-786X

VL - 1396

SP - 45

EP - 50

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

T2 - Applications of Optical Engineering: Proceedings of OE/Midwest '90

Y2 - 27 September 1990 through 28 September 1990

ER -

Three-dimensional reconstruction of liver from 2-D tomographic slices

Abstract

ASJC Scopus subject areas

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