Segmentation of arterial vessel wall motion to sub-pixel resolution using M-mode ultrasound.
We describe a method for segmenting arterial vessel wall motion to sub-pixel resolution, using the returns from M-mode ultrasound. The technique involves measuring the spatial offset between all pairs of scans from their cross-correlation, converting the spatial offsets to relative wall motion through a global optimization, and finally translating from relative to absolute wall motion by interpolation over the M-mode image. The resulting detailed wall distension waveform has the potential to enhance existing vascular biomarkers, such as strain and compliance, as well as enable new ones.
Fancourt
Craig
C
Merck Research Labs, Rahway, NJ, USA.
Azer
Karim
K
Ramcharan
Sharmilee L
SL
Bunzel
Michelle
M
Cambell
Barry R
BR
Sachs
Jeffrey R
JR
Walker
Matthew
M
D000465:Algorithms; D000818:Animals; D001158:Arteries / Q000473:pathology*; D001499:Bayes Theorem; D015415:Biomarkers / Q000378:metabolism*; D006439:Hemodynamics; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D015233:Models, Statistical; D011846:Radio Waves; D051381:Rats; D012984:Software; D013314:Stress, Mechanical; D013997:Time Factors; D014463:Ultrasonography / Q000379:methods*
D015415:Biomarkers