Automated detection of blood vessels using dynamic programming

Peter J. Yim; Mark Kayton; Walter Miller; Steven Libutti; Peter L. Choyke

doi:10.1016/S0167-8655(03)00092-8

Automated detection of blood vessels using dynamic programming

Peter J. Yim
, Mark Kayton
, Walter Miller
, Steven Libutti
, Peter L. Choyke

School of Medicine

Department of Pediatrics, Rutgers Robert Wood Johnson Medical School

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

4 Scopus citations

Abstract

An essential step in the characterization of angiography is the detection of the blood vessels. We propose an algorithm for detection of vessels in two-dimensional angiography from an acyclic graph that represents optimal paths within the image.

Original language	English
Pages (from-to)	2471-2478
Number of pages	8
Journal	Pattern Recognition Letters
Volume	24
Issue number	14
DOIs	https://doi.org/10.1016/S0167-8655(03)00092-8
State	Published - Oct 2003

Keywords

Angiography
Detection
Graph representation

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10.1016/S0167-8655(03)00092-8

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title = "Automated detection of blood vessels using dynamic programming",

abstract = "An essential step in the characterization of angiography is the detection of the blood vessels. We propose an algorithm for detection of vessels in two-dimensional angiography from an acyclic graph that represents optimal paths within the image.",

keywords = "Angiography, Detection, Graph representation",

author = "Yim, \{Peter J.\} and Mark Kayton and Walter Miller and Steven Libutti and Choyke, \{Peter L.\}",

year = "2003",

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T1 - Automated detection of blood vessels using dynamic programming

AU - Yim, Peter J.

AU - Kayton, Mark

AU - Miller, Walter

AU - Libutti, Steven

AU - Choyke, Peter L.

PY - 2003/10

Y1 - 2003/10

N2 - An essential step in the characterization of angiography is the detection of the blood vessels. We propose an algorithm for detection of vessels in two-dimensional angiography from an acyclic graph that represents optimal paths within the image.

AB - An essential step in the characterization of angiography is the detection of the blood vessels. We propose an algorithm for detection of vessels in two-dimensional angiography from an acyclic graph that represents optimal paths within the image.

KW - Angiography

KW - Detection

KW - Graph representation

UR - https://www.scopus.com/pages/publications/0042341515

U2 - 10.1016/S0167-8655(03)00092-8

DO - 10.1016/S0167-8655(03)00092-8

M3 - Article

AN - SCOPUS:0042341515

SN - 0167-8655

VL - 24

SP - 2471

EP - 2478

JO - Pattern Recognition Letters

JF - Pattern Recognition Letters

IS - 14

ER -

Automated detection of blood vessels using dynamic programming

Abstract

Keywords

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