A method for non-invasive assessment of an arterial stenosis, comprising: segmenting a plurality of mesh candidates for an anatomical model of an artery including a stenosis region of a patient from medical imaging data; computing a hemodynamic index for the stenosis region in each of the plurality of mesh candidates; determining whether a variation among values of the hemodynamic index for the stenosis region in each of the plurality of mesh candidates is significant with respect to a threshold associated with a clinical decision regarding the stenosis region; and wherein said determining whether a variation among values of the hemodynamic index for the stenosis region in each of the plurality of mesh candidates is significant with respect to a threshold associated with a clinical decision regarding the stenosis region where the values of the hemodynamic index for the stenosis region in each of the plurality of mesh candidates span the threshold such that some of the values are below the threshold for the clinical decision and some of the values are above the threshold for the clinical decision; wherein the segmenting of the plurality of mesh candidates for an anatomical model of an artery including a stenosis region of a patient from medical imaging data comprises: segmenting the artery from the medical imaging data to generate the anatomical model; determining one or more candidate locations for each vertex of the anatomical model; and generating the plurality of mesh candidates based on the one or more candidate locations. segmenting a plurality of mesh candidates for an anatomical model of an artery including a stenosis region of a patient from medical imaging data; computing a hemodynamic index for the stenosis region in each of the plurality of mesh candidates; determining whether a variation among values of the hemodynamic index for the stenosis region in each of the plurality of mesh candidates is significant with respect to a threshold associated with a clinical decision regarding the stenosis region; and wherein said determining whether a variation among values of the hemodynamic index for the stenosis region in each of the plurality of mesh candidates is significant with respect to a threshold associated with a clinical decision regarding the stenosis region where the values of the hemodynamic index for the stenosis region in each of the plurality of mesh candidates span the threshold such that some of the values are below the threshold for the clinical decision and some of the values are above the threshold for the clinical decision; wherein the segmenting of the plurality of mesh candidates for an anatomical model of an artery including a stenosis region of a patient from medical imaging data comprises: segmenting the artery from the medical imaging data to generate the anatomical model; determining one or more candidate locations for each vertex of the anatomical model; and generating the plurality of mesh candidates based on the one or more candidate locations. segmenting the artery from the medical imaging data to generate the anatomical model; determining one or more candidate locations for each vertex of the anatomical model; and generating the plurality of mesh candidates based on the one or more candidate locations.