In vivo validation of an experimental adaptive quantitative coronary angiography algorithm to circumvent overestimation of small luminal diameters

David Keane, Ed Gronenschild, Cornelis Slager, Yukio Ozaki, Jürgen Haase, Patrick W. Serruys

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

The reliability of quantitative coronary angiography (QCA) measurements is of fundamental importance for the study and practice of interventional cardiology. In vivo validation results have consistently reported a tendency for QCA systems to overestimate small luminal diameters. Such a systematic error may result in the underestimation of luminal gain during intracoronary procedures and in the underestimation of progression of coronary artery disease during longitudinal studies. We report the in vivo validation results of an experimental adaptive edge‐detection algorithm that was developed to reduce overestimation of small luminal diameters by incorporating a dynamic function of variable kernel size of the derivative operator and variable weighting of the first and second derivatives of the brightness profile. The results of the experimental algorithm were compared to those of the conventional parent edge detection algorithm with fixed parameters. Dynamic adjustment of the edge‐detection algorithm parameters was found to improve measurements of small (lt;0.8‐mm) luminal diameters as evidenced by an intercept of +.07 mm for the algorithm with variable weighting compared to +0.21 mm for the parent algorithm with fixed weighting. A slope of <1 was found for both the parent and experimental algorithms with subsequent underestimation of large luminal diameters. Systematic errors in a QCA system can be identified and corrected by the execution of objective in vivo validation studies and the consequent refinement of edge‐detection algorithms. The overestimation of small luminal diameters may be overcome by the incorporation of a dynamic edge‐detection algorithm. Further refinements in edge‐detection algorithms will be required to address the issue of underestimation of large luminal diameters before the absolute values derived from QCA measurements can be considered accurate over the full range of clinically encountered luminal diameters. © 1995 Wiley‐Liss, Inc.

Original languageEnglish
Pages (from-to)17-24
Number of pages8
JournalCatheterization and Cardiovascular Diagnosis
Volume36
Issue number1
DOIs
Publication statusPublished - 01-01-1995

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Coronary Angiography
Validation Studies
Cardiology
Longitudinal Studies
Coronary Artery Disease

All Science Journal Classification (ASJC) codes

  • Cardiology and Cardiovascular Medicine

Cite this

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title = "In vivo validation of an experimental adaptive quantitative coronary angiography algorithm to circumvent overestimation of small luminal diameters",
abstract = "The reliability of quantitative coronary angiography (QCA) measurements is of fundamental importance for the study and practice of interventional cardiology. In vivo validation results have consistently reported a tendency for QCA systems to overestimate small luminal diameters. Such a systematic error may result in the underestimation of luminal gain during intracoronary procedures and in the underestimation of progression of coronary artery disease during longitudinal studies. We report the in vivo validation results of an experimental adaptive edge‐detection algorithm that was developed to reduce overestimation of small luminal diameters by incorporating a dynamic function of variable kernel size of the derivative operator and variable weighting of the first and second derivatives of the brightness profile. The results of the experimental algorithm were compared to those of the conventional parent edge detection algorithm with fixed parameters. Dynamic adjustment of the edge‐detection algorithm parameters was found to improve measurements of small (lt;0.8‐mm) luminal diameters as evidenced by an intercept of +.07 mm for the algorithm with variable weighting compared to +0.21 mm for the parent algorithm with fixed weighting. A slope of <1 was found for both the parent and experimental algorithms with subsequent underestimation of large luminal diameters. Systematic errors in a QCA system can be identified and corrected by the execution of objective in vivo validation studies and the consequent refinement of edge‐detection algorithms. The overestimation of small luminal diameters may be overcome by the incorporation of a dynamic edge‐detection algorithm. Further refinements in edge‐detection algorithms will be required to address the issue of underestimation of large luminal diameters before the absolute values derived from QCA measurements can be considered accurate over the full range of clinically encountered luminal diameters. {\circledC} 1995 Wiley‐Liss, Inc.",
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In vivo validation of an experimental adaptive quantitative coronary angiography algorithm to circumvent overestimation of small luminal diameters. / Keane, David; Gronenschild, Ed; Slager, Cornelis; Ozaki, Yukio; Haase, Jürgen; Serruys, Patrick W.

In: Catheterization and Cardiovascular Diagnosis, Vol. 36, No. 1, 01.01.1995, p. 17-24.

Research output: Contribution to journalArticle

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AU - Keane, David

AU - Gronenschild, Ed

AU - Slager, Cornelis

AU - Ozaki, Yukio

AU - Haase, Jürgen

AU - Serruys, Patrick W.

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AB - The reliability of quantitative coronary angiography (QCA) measurements is of fundamental importance for the study and practice of interventional cardiology. In vivo validation results have consistently reported a tendency for QCA systems to overestimate small luminal diameters. Such a systematic error may result in the underestimation of luminal gain during intracoronary procedures and in the underestimation of progression of coronary artery disease during longitudinal studies. We report the in vivo validation results of an experimental adaptive edge‐detection algorithm that was developed to reduce overestimation of small luminal diameters by incorporating a dynamic function of variable kernel size of the derivative operator and variable weighting of the first and second derivatives of the brightness profile. The results of the experimental algorithm were compared to those of the conventional parent edge detection algorithm with fixed parameters. Dynamic adjustment of the edge‐detection algorithm parameters was found to improve measurements of small (lt;0.8‐mm) luminal diameters as evidenced by an intercept of +.07 mm for the algorithm with variable weighting compared to +0.21 mm for the parent algorithm with fixed weighting. A slope of <1 was found for both the parent and experimental algorithms with subsequent underestimation of large luminal diameters. Systematic errors in a QCA system can be identified and corrected by the execution of objective in vivo validation studies and the consequent refinement of edge‐detection algorithms. The overestimation of small luminal diameters may be overcome by the incorporation of a dynamic edge‐detection algorithm. Further refinements in edge‐detection algorithms will be required to address the issue of underestimation of large luminal diameters before the absolute values derived from QCA measurements can be considered accurate over the full range of clinically encountered luminal diameters. © 1995 Wiley‐Liss, Inc.

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