A network flow approach to reconstruction of the left ventricle from two projections

Cornelis H. Slump; Jan J. Gerbrands

doi:10.1016/0146-664X(82)90097-1

A network flow approach to reconstruction of the left ventricle from two projections

Cornelis H. Slump^*
, Jan J. Gerbrands

^*Corresponding author for this work

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

65 Citations (Scopus)

108 Downloads (Pure)

Abstract

A new method for binary reconstruction of the left ventricle from two orthogonal projections is presented. A priori knowledge has to be incorporated to reduce the ambiguity of the problem. A minimum cost capacitated network flow algorithm is discussed, which yields the optimal solution with respect to the priori information. It is shown that this method can also be used in the presence of observation noise. The method is demonstrated by reconstructing several cross sections of a dog's left ventricle.

Original language	English
Pages (from-to)	18-36
Number of pages	19
Journal	Computer Graphics and Image Processing
Volume	18
Issue number	1
DOIs	https://doi.org/10.1016/0146-664X(82)90097-1
Publication status	Published - 1 Jan 1982
Externally published	Yes

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title = "A network flow approach to reconstruction of the left ventricle from two projections",

abstract = "A new method for binary reconstruction of the left ventricle from two orthogonal projections is presented. A priori knowledge has to be incorporated to reduce the ambiguity of the problem. A minimum cost capacitated network flow algorithm is discussed, which yields the optimal solution with respect to the priori information. It is shown that this method can also be used in the presence of observation noise. The method is demonstrated by reconstructing several cross sections of a dog's left ventricle.",

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AU - Gerbrands, Jan J.

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N2 - A new method for binary reconstruction of the left ventricle from two orthogonal projections is presented. A priori knowledge has to be incorporated to reduce the ambiguity of the problem. A minimum cost capacitated network flow algorithm is discussed, which yields the optimal solution with respect to the priori information. It is shown that this method can also be used in the presence of observation noise. The method is demonstrated by reconstructing several cross sections of a dog's left ventricle.

AB - A new method for binary reconstruction of the left ventricle from two orthogonal projections is presented. A priori knowledge has to be incorporated to reduce the ambiguity of the problem. A minimum cost capacitated network flow algorithm is discussed, which yields the optimal solution with respect to the priori information. It is shown that this method can also be used in the presence of observation noise. The method is demonstrated by reconstructing several cross sections of a dog's left ventricle.

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U2 - 10.1016/0146-664X(82)90097-1

DO - 10.1016/0146-664X(82)90097-1

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A network flow approach to reconstruction of the left ventricle from two projections

Abstract

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