Automatic segmentation and plaque characterization in atherosclerotic carotid artery MR images

Author： Adame I. M.   van der Geest R. J.   Wasserman B. A.   Mohamed M. A.   Reiber J. H. C.   Lelieveldt B. P. F.  

Publisher： Springer Publishing Company

ISSN： 1352-8661

Source： Magnetic Resonance Materials in Biology, Physics and Medicine, Vol.16, Iss.5, 2004-05, pp. : 227-234

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Carotid plaque typing by multiple-parameter ultrasonic tissue characterization

By Noritomi T.   Sigel B.   Swami V.   Justin J.   Gahtan V.   Xiaoli C.   Feleppa E.J.   Roberts A.B.   Shirouzu K.  

Ultrasound in Medicine and Biology, Vol. 23, Iss. 5, 1997-01 ,pp. : 643-650

Elsevier

Access to resources Recommend Favorite

Deep Learning as a Tool for Automatic Segmentation of Corneal Endothelium Images

By Nurzynska Karolina  

Symmetry, Vol. 10, Iss. 3, 2018-03 ,pp. : 60-60

MDPI

Access to resources Recommend Favorite

An objective method for grading ultrasound images of carotid artery plaques

By Arnold A.   Taylor P.   Poston R.   Modaresi K.   Padayachee S.  

Ultrasound in Medicine and Biology, Vol. 27, Iss. 8, 2001-08 ,pp. : 1041-1047

Elsevier

Access to resources Recommend Favorite

Equivalence of plaque score and intima-media thickness of carotid ultrasonography for predicting severe coronary artery lesion

By Sakaguchi M.   Kitagawa K.   Nagai Y.   Yamagami H.   Kondo K.   Matsushita K.   Oku N.   Hougaku H.   Ohtsuki T.   Masuyama T.   Matsumoto M.   Hori M.  

Ultrasound in Medicine and Biology, Vol. 29, Iss. 3, 2003-03 ,pp. : 367-371

Elsevier

Access to resources Recommend Favorite

Carotid artery intima-media thickness and plaque score for the risk assessment of stroke subtypes

By Nagai Y.   Kitagawa K.   Yamagami H.   Kondo K.   Hougaku H.   Hori M.   Matsumoto M.  

Ultrasound in Medicine and Biology, Vol. 28, Iss. 10, 2002-10 ,pp. : 1239-1243

Elsevier

Access to resources Recommend Favorite