Linear discriminant analysis of regional ejection fractions in the diagnosis of coronary artery disease

K. H. Douglas; J. M. Links; D. C.P. Chen; D. F. Wong; Henry N. Wagner

doi:10.1007/BF00284534

Linear discriminant analysis of regional ejection fractions in the diagnosis of coronary artery disease

K. H. Douglas, J. M. Links, D. C.P. Chen, D. F. Wong, Henry N. Wagner

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

3 Scopus citations

Abstract

We studied the application of linear discriminant analysis to the computer assisted interpretation of rest and exercise gated blood pool studies. Data were obtained in 45 patients in whom the presence or absence of coronary artery disease was determined by coronary angiography. Automated analysis of regional ejection fractions using a linear discriminant function (LDF) was compared to the fully automated calculation of global ejection fraction and to the subjective evaluation of wall motion. A LDF constructed from the data for the first 31 consecutive patients correctly classified 25/31 (81%). The change in global ejection fraction correctly classified 24/31 (77%) and wall motion analysis 25/31 (81%). In a distint group of 14 patients the same LDF correctly classified 12/14 (86%), global ejection fraction 9/14 (64%) and wall motion analysis 10/14 (71%).

Original language	English (US)
Pages (from-to)	602-604
Number of pages	3
Journal	European Journal of Nuclear Medicine
Volume	12
Issue number	12
DOIs	https://doi.org/10.1007/BF00284534
State	Published - Mar 1987

Keywords

Computer processing
Gated blood pool

ASJC Scopus subject areas

Radiology Nuclear Medicine and imaging

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10.1007/BF00284534

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title = "Linear discriminant analysis of regional ejection fractions in the diagnosis of coronary artery disease",

abstract = "We studied the application of linear discriminant analysis to the computer assisted interpretation of rest and exercise gated blood pool studies. Data were obtained in 45 patients in whom the presence or absence of coronary artery disease was determined by coronary angiography. Automated analysis of regional ejection fractions using a linear discriminant function (LDF) was compared to the fully automated calculation of global ejection fraction and to the subjective evaluation of wall motion. A LDF constructed from the data for the first 31 consecutive patients correctly classified 25/31 (81%). The change in global ejection fraction correctly classified 24/31 (77%) and wall motion analysis 25/31 (81%). In a distint group of 14 patients the same LDF correctly classified 12/14 (86%), global ejection fraction 9/14 (64%) and wall motion analysis 10/14 (71%).",

keywords = "Computer processing, Gated blood pool",

author = "Douglas, {K. H.} and Links, {J. M.} and Chen, {D. C.P.} and Wong, {D. F.} and Wagner, {Henry N.}",

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T1 - Linear discriminant analysis of regional ejection fractions in the diagnosis of coronary artery disease

AU - Douglas, K. H.

AU - Links, J. M.

AU - Chen, D. C.P.

AU - Wong, D. F.

AU - Wagner, Henry N.

PY - 1987/3

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N2 - We studied the application of linear discriminant analysis to the computer assisted interpretation of rest and exercise gated blood pool studies. Data were obtained in 45 patients in whom the presence or absence of coronary artery disease was determined by coronary angiography. Automated analysis of regional ejection fractions using a linear discriminant function (LDF) was compared to the fully automated calculation of global ejection fraction and to the subjective evaluation of wall motion. A LDF constructed from the data for the first 31 consecutive patients correctly classified 25/31 (81%). The change in global ejection fraction correctly classified 24/31 (77%) and wall motion analysis 25/31 (81%). In a distint group of 14 patients the same LDF correctly classified 12/14 (86%), global ejection fraction 9/14 (64%) and wall motion analysis 10/14 (71%).

AB - We studied the application of linear discriminant analysis to the computer assisted interpretation of rest and exercise gated blood pool studies. Data were obtained in 45 patients in whom the presence or absence of coronary artery disease was determined by coronary angiography. Automated analysis of regional ejection fractions using a linear discriminant function (LDF) was compared to the fully automated calculation of global ejection fraction and to the subjective evaluation of wall motion. A LDF constructed from the data for the first 31 consecutive patients correctly classified 25/31 (81%). The change in global ejection fraction correctly classified 24/31 (77%) and wall motion analysis 25/31 (81%). In a distint group of 14 patients the same LDF correctly classified 12/14 (86%), global ejection fraction 9/14 (64%) and wall motion analysis 10/14 (71%).

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Linear discriminant analysis of regional ejection fractions in the diagnosis of coronary artery disease

Abstract

Keywords

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