{"_id":"jXLtebgChm4gquGGk","bibbaseid":"carranzaherrezuelo-cristbal-ledesmacarbayo-santos-anewcardiacmotionestimationmethodbasedonaspatiotemporalfrequencyapproachandhoughtransform-2006","authorIDs":[],"author_short":["Carranza Herrezuelo, N.","Cristóbal, G.","Ledesma-Carbayo, M., J.","Santos, A."],"bibdata":{"title":"A new cardiac motion estimation method based on a spatio-temporal frequency approach and hough transform","type":"inProceedings","year":"2006","identifiers":"[object Object]","pages":"805-808","volume":"33","id":"980533ad-53fb-302d-a435-065cb164822f","created":"2018-08-01T22:38:03.607Z","file_attached":false,"profile_id":"1190d734-205a-3e2c-a21b-094e2b7c88e9","last_modified":"2020-01-01T23:51:47.928Z","read":false,"starred":false,"authored":"true","confirmed":false,"hidden":false,"private_publication":"true","abstract":"Myocardial motion analysis and quantification is of utmost importance for analyzing contractile heart abnormalities and it can be a symptom of a coronary arterial disease. A fundamental problem in processing sequences of images is the computation of the optical flow, which is an approximation to the real image motion. This paper presents a new algorithm for optical flow estimation based on a spatiotemporal-frequency (STF) approach, more specifically on the computation of the Wigner-Ville distribution (WVD) and the Hough Transform (HT) of the motion sequences. Experimental results are compared with variational techniques, where it is shown that the main highlight of the STF+HT approach is its accurate and robust response to noise degradations. Results obtained in real cardiac magnetic resonance images are presented.","bibtype":"inProceedings","author":"Carranza Herrezuelo, Noemí and Cristóbal, G. and Ledesma-Carbayo, M. J. and Santos, A.","booktitle":"Computers in Cardiology","bibtex":"@inProceedings{\n title = {A new cardiac motion estimation method based on a spatio-temporal frequency approach and hough transform},\n type = {inProceedings},\n year = {2006},\n identifiers = {[object Object]},\n pages = {805-808},\n volume = {33},\n id = {980533ad-53fb-302d-a435-065cb164822f},\n created = {2018-08-01T22:38:03.607Z},\n file_attached = {false},\n profile_id = {1190d734-205a-3e2c-a21b-094e2b7c88e9},\n last_modified = {2020-01-01T23:51:47.928Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {false},\n hidden = {false},\n private_publication = {true},\n abstract = {Myocardial motion analysis and quantification is of utmost importance for analyzing contractile heart abnormalities and it can be a symptom of a coronary arterial disease. A fundamental problem in processing sequences of images is the computation of the optical flow, which is an approximation to the real image motion. This paper presents a new algorithm for optical flow estimation based on a spatiotemporal-frequency (STF) approach, more specifically on the computation of the Wigner-Ville distribution (WVD) and the Hough Transform (HT) of the motion sequences. Experimental results are compared with variational techniques, where it is shown that the main highlight of the STF+HT approach is its accurate and robust response to noise degradations. Results obtained in real cardiac magnetic resonance images are presented.},\n bibtype = {inProceedings},\n author = {Carranza Herrezuelo, Noemí and Cristóbal, G. and Ledesma-Carbayo, M. J. and Santos, A.},\n booktitle = {Computers in Cardiology}\n}","author_short":["Carranza Herrezuelo, N.","Cristóbal, G.","Ledesma-Carbayo, M., J.","Santos, A."],"bibbaseid":"carranzaherrezuelo-cristbal-ledesmacarbayo-santos-anewcardiacmotionestimationmethodbasedonaspatiotemporalfrequencyapproachandhoughtransform-2006","role":"author","urls":{},"downloads":0},"bibtype":"inProceedings","creationDate":"2019-12-31T23:40:29.468Z","downloads":0,"keywords":[],"search_terms":["new","cardiac","motion","estimation","method","based","spatio","temporal","frequency","approach","hough","transform","carranza herrezuelo","cristóbal","ledesma-carbayo","santos"],"title":"A new cardiac motion estimation method based on a spatio-temporal frequency approach and hough transform","year":2006}