DocumentCode
1805931
Title
A gradient field metric for quality control of automated intracoronary ultrasound boundaries
Author
Ying Zhu ; Snyder, Wesley E. ; Braden, Greg A. ; Herrington, David M.
Author_Institution
Bowman Gray Sch. of Med., Winston-Salem, NC, USA
fYear
1994
fDate
25-28 Sept. 1994
Firstpage
285
Lastpage
288
Abstract
Automated analysis of intracoronary ultrasound (ICUS) images is hindered by noise, motion artifacts, and poor signal to noise ratio, making it necessary for operator editing of erroneous boundaries. The authors propose a gradient based metric: boundary gradient ratio (BGR) as an acceptance criterion for boundary quality, which could be used as a screening method for detection of suboptimal boundaries generated from an automated system.<>
Keywords
biomedical ultrasonics; cardiology; medical image processing; quality control; acceptance criterion; automated intracoronary ultrasound boundaries quality control; automated system; erroneous boundaries; gradient based metric; gradient field metric; medical diagnostic imaging; motion artifacts; operator editing; signal to noise ratio; suboptimal boundaries detection; Biomedical imaging; Costs; Dynamic programming; Image analysis; Image motion analysis; Quality control; Signal analysis; Signal to noise ratio; USA Councils; Ultrasonic imaging;
fLanguage
English
Publisher
ieee
Conference_Titel
Computers in Cardiology 1994
Conference_Location
Bethesda, MD, USA
Print_ISBN
0-8186-6570-X
Type
conf
DOI
10.1109/CIC.1994.470193
Filename
470193
Link To Document