Extraction of instantaneous changes in arterial walls with sequential ultrasound images

• Published in: Journal of medical ultrasonics (2001) Vol. 38; no. 2; pp. 81 - 87
• Main Authors: Rahmani-Cherati, Tavoos, Mokhtari-Dizaji, Manijhe, Vajhi, Alireza, Rostami, Abdorrazzagh
• Format: Journal Article
• Language: English
• Published: Japan Springer Japan 01.04.2011; Springer; Springer Nature B.V
• Subjects: Abdomen; Algorithms; Aorta; Arterial wall; Atherosclerosis; Automation; Cardiovascular disease; Coronary vessels; Cost function; Diameters; Dynamic programming; Heart beat; Heart rate; Image processing; Imaging; Mathematical analysis; Maximum gradient algorithm; Medicine; Medicine & Public Health; Motion detection; Original Article; Rabbits; Radiology; Software; Thickness measurement; Tracing; Ultrasonic imaging; Ultrasonic methods; Ultrasonic testing; Ultrasound; Veins & arteries; Wall thickness; Iran; Motion detection; Arterial wall; Maximum gradient algorithm; Ultrasound
• ISSN: 1346-4523; 1613-2254
• DOI: 10.1007/s10396-011-0299-6

Purpose Many structural and dynamic properties of the arterial wall, e.g., lumen diameter and wall thickness, can be measured with non-invasive ultrasound techniques. We present a new computerized analysis method for measurement of instantaneous changes in far and near arterial walls in sequential ultrasound images. Methods In this method, two algorithms, i.e., maximum gradient and dynamic programming, were composed and implemented. Reference points and cost function were based on dynamic programming and maximum gradient, respectively. To evaluate this method, B-mode abdominal aorta ultrasound examinations were obtained for ten New Zealand White rabbits. Approximately 70 sequential ultrasound images spanning three cardiac cycles were analyzed from each examination to detect instantaneous changes in the far and near walls and lumen diameter of rabbit abdominal aorta. The maximum, minimum, and mean diameters extracted by the automated method were compared with the same parameters measured by manual tracing. Results There was no significant differences between the manual and automated methods according to paired t test analysis ( p  > 0.05). In a verification study, the correlation between the two methods was calculated ( R 2  = 0.98, p  < 0.05). Agreement between the automated and manual methods as determined by the Bland-Altman approach was excellent. Conclusion It is concluded that the new computerized analysis method is a reliable technique to assess instantaneous changes in the rabbit arterial wall in sequential B-mode images. The variability between different laboratories will be reduced if the same analysis program is used. By using this method, not only was variation in the results of manual tracing by several observers eliminated, but the duration of image processing was also considerably reduced.