3-D reconstruction of homogeneous objects from two poisson-distributed projections

Jan J. Gerbrands; Cornelis H. Slump

doi:10.1016/0167-8655(85)90020-0

3-D reconstruction of homogeneous objects from two poisson-distributed projections

Jan J. Gerbrands^*
, Cornelis H. Slump

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

11 Citations (Scopus)

85 Downloads (Pure)

Abstract

It is computationally very convenient to view the problem of reconstructing a homogeneous 3-D object from two orthogonal projections as a flow problem in a capacitated network. This network flow approach is extended here to incorporate the Poisson nature of the projection data, as is the case in X-ray imaging.

Original language	English
Pages (from-to)	137-145
Number of pages	9
Journal	Pattern recognition letters
Volume	3
Issue number	2
DOIs	https://doi.org/10.1016/0167-8655(85)90020-0
Publication status	Published - 1 Jan 1985
Externally published	Yes

Keywords

3-D reconstruction
Network flow algorithms
Orthogonal projections
Poisson distribution
X-ray imaging

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10.1016/0167-8655(85)90020-0

Gerbrands1985reconstructionFinal published version, 1.18 MB

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title = "3-D reconstruction of homogeneous objects from two poisson-distributed projections",

abstract = "It is computationally very convenient to view the problem of reconstructing a homogeneous 3-D object from two orthogonal projections as a flow problem in a capacitated network. This network flow approach is extended here to incorporate the Poisson nature of the projection data, as is the case in X-ray imaging.",

keywords = "3-D reconstruction, Network flow algorithms, Orthogonal projections, Poisson distribution, X-ray imaging",

author = "Gerbrands, \{Jan J.\} and Slump, \{Cornelis H.\}",

year = "1985",

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AU - Gerbrands, Jan J.

AU - Slump, Cornelis H.

PY - 1985/1/1

Y1 - 1985/1/1

N2 - It is computationally very convenient to view the problem of reconstructing a homogeneous 3-D object from two orthogonal projections as a flow problem in a capacitated network. This network flow approach is extended here to incorporate the Poisson nature of the projection data, as is the case in X-ray imaging.

AB - It is computationally very convenient to view the problem of reconstructing a homogeneous 3-D object from two orthogonal projections as a flow problem in a capacitated network. This network flow approach is extended here to incorporate the Poisson nature of the projection data, as is the case in X-ray imaging.

KW - 3-D reconstruction

KW - Network flow algorithms

KW - Orthogonal projections

KW - Poisson distribution

KW - X-ray imaging

UR - https://www.scopus.com/pages/publications/0021834135

U2 - 10.1016/0167-8655(85)90020-0

DO - 10.1016/0167-8655(85)90020-0

M3 - Article

AN - SCOPUS:0021834135

SN - 0167-8655

VL - 3

SP - 137

EP - 145

JO - Pattern recognition letters

JF - Pattern recognition letters

IS - 2

ER -

3-D reconstruction of homogeneous objects from two poisson-distributed projections

Abstract

Keywords

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