000148126 001__ 148126
000148126 005__ 20250114155432.0
000148126 0247_ $$2doi$$a10.1109/TMI.2003.819278
000148126 0248_ $$2sideral$$a52934
000148126 037__ $$aART-2003-52934
000148126 041__ $$aeng
000148126 100__ $$aFrangi, A. F.
000148126 245__ $$aA Registration-Based Approach to Quantify Flow-Mediated Dilation (Fmd) of the Brachial Artery in Ultrasound Image Sequences
000148126 260__ $$c2003
000148126 5060_ $$aAccess copy available to the general public$$fUnrestricted
000148126 5203_ $$aFlow-mediated dilation (FMD) offers a mechanism to characterize endothelial function and, therefore, may play a role in the diagnosis of cardiovascular diseases. Computerized analysis techniques are very desirable to give accuracy and objectivity to the measurements. Virtually all methods proposed up to now to measure FMD rely on accurate edge detection of the arterial wall, and they are not always robust in the presence of poor image quality or image artifacts. A novel method for automatic dilation assessment based on a global image analysis strategy is presented. We model interframe arterial dilation as a superposition of a rigid motion and a scaling factor perpendicular to the artery. Rigid motion can be interpreted as a global compensation for patient and probe movements, an aspect that has not been sufficiently studied before. The scaling factor explains arterial dilation. The ultrasound sequence is analyzed in two phases using image registration to recover both transformation models. Temporal continuity in the registration parameters along the sequence is enforced with a Kalman filter since the dilation process is known to be a gradual physiological phenomenon. Comparing automated and gold standard measurements (average of manual measurements) we found a negligible bias (0.05%FMD) and a small standard deviation (SD) of the differences (1.05%FMD). These values are comparable with those obtained from manual measurements (bias = 0.23%FMD, SD(intra-obs) = 1.13%FMD, SD(inter-obs) 1.20%FMD). The proposed method offers also better reproducibility (CV = 0.40%) than the manual measurements (CV = 1.04%).
000148126 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000148126 590__ $$a3.755$$b2003
000148126 591__ $$aCOMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS$$b4 / 81 = 0.049$$c2003$$dQ1$$eT1
000148126 591__ $$aENGINEERING, BIOMEDICAL$$b3 / 40 = 0.075$$c2003$$dQ1$$eT1
000148126 591__ $$aRADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING$$b6 / 82 = 0.073$$c2003$$dQ1$$eT1
000148126 591__ $$aIMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY$$b1 / 13 = 0.077$$c2003$$dQ1$$eT1
000148126 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b4 / 205 = 0.02$$c2003$$dQ1$$eT1
000148126 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000148126 700__ $$aLaclaustra, M.
000148126 700__ $$aLamata, P.
000148126 773__ $$g22, 11 (2003), 1458-1469$$pIEEE trans. med. imag.$$tIEEE TRANSACTIONS ON MEDICAL IMAGING$$x0278-0062
000148126 8564_ $$s1445306$$uhttps://zaguan.unizar.es/record/148126/files/texto_completo.pdf$$yVersión publicada
000148126 8564_ $$s3570272$$uhttps://zaguan.unizar.es/record/148126/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000148126 909CO $$ooai:zaguan.unizar.es:148126$$particulos$$pdriver
000148126 951__ $$a2025-01-13-14:28:17
000148126 980__ $$aARTICLE