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Digital averaging to facilitate two‐dimensional echocardiographic measurements
Author(s) -
Petrovic Olivera,
Feigenbaum Harvey,
Armstrong William F.,
Ryan Thomas,
West Steven R.,
CreenHess Deborah,
Stewart Janie,
Friedmeyer Jennifer L. Mattson,
Fineberg Naomi S.
Publication year - 1986
Publication title -
journal of clinical ultrasound
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.272
H-Index - 61
eISSN - 1097-0096
pISSN - 0091-2751
DOI - 10.1002/jcu.1870140507
Subject(s) - medicine , dropout (neural networks) , distortion (music) , artificial intelligence , digital image , image quality , computer vision , frame (networking) , nuclear medicine , image (mathematics) , image processing , computer science , computer network , amplifier , telecommunications , bandwidth (computing) , machine learning
A problem in quantitative two‐dimensional echocardiography is myocardial dropout of still frame images. This study was designed to evaluate the ability of digital averaging to overcome myocardial dropout without distorting quantitative measurements. Forty‐one percent of 80 digitally averaged images were thought to be improved by five independent observers, whereas 78 showed some deterioration. Measurements obtained from processed images were statistically identical ( r ≥ 0.9) to those from three arithmetically averaged, unprocessed images in 60 patients. Digital averaging can improve image quality without measurement distortion and should facilitate two‐dimensional echocardiographic quantitation.