1. A computer-implemented method comprising: receiving biomedical imaging data and patient demographic data corresponding to a current scan of a patient; real time checking if the artery has calcium deposit in the proximal wall; acquiring the arterial data as a combination of longitudinal B-mode and transverse B-mode; using a data processor to automatically recognize the far adventitia border of the artery using multi-resolution approach; using the data processor to automatically recognize the anatomic landmark lumen artery by using a classifier; using the data processor to automatically validate the far adventitia border with respect the anatomic landmark lumen artery; using the processor to automatically correct the far adventitia border; using the data processor to calibrate the region of interest around the automatically validated and corrected recognized artery to determine the segmented lumen-intima and media-adventitia borders; using the data processor to calibrate a region of interest using an edge flow method to compute the lumen-intima and media-adventitia borders, and determining the intima-media thickness of the arterial wall.