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
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;
Conference_Titel :
Computers in Cardiology 1994
Conference_Location :
Bethesda, MD, USA
Print_ISBN :
0-8186-6570-X
DOI :
10.1109/CIC.1994.470193
