2007
DOI: 10.1007/s11517-006-0140-3
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Snakes based segmentation of the common carotid artery intima media

Abstract: Ultrasound measurements of the human carotid artery walls are conventionally obtained by manually tracing interfaces between tissue layers. In this study we present a snakes segmentation technique for detecting the intima-media layer of the far wall of the common carotid artery (CCA) in longitudinal ultrasound images, by applying snakes, after normalization, speckle reduction, and normalization and speckle reduction. The proposed technique utilizes an improved snake initialization method, and an improved valid… Show more

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Cited by 213 publications
(251 citation statements)
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References 39 publications
(116 reference statements)
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“…wall of ved and CA [6,7] ore, the n of the and I5, g of the ging of ra-and which the far e CCA. ear old TUFFC D [10,12] , e CCA e CCA for the studies [15] , the ages of es were ntation 15,21] , a butions MC was ke were ynamic sented.…”
Section: -939xmentioning
confidence: 98%
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“…wall of ved and CA [6,7] ore, the n of the and I5, g of the ging of ra-and which the far e CCA. ear old TUFFC D [10,12] , e CCA e CCA for the studies [15] , the ages of es were ntation 15,21] , a butions MC was ke were ynamic sented.…”
Section: -939xmentioning
confidence: 98%
“…Mo as reported whi n Ref. [7] , an IM was further exte normalization [ re the D was m gmenting the a (M) and SA IM in Ref. [23] , a neural network ctive contours [28,29] , two dif was assessed us er proposed for A.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…A combinação de um comportamento tranqüilo em cativeiro, associado ao tamanho e seu padrão estético, tem influenciado no aumento da procura comercial destes animais. Esse fato tem aumentado a necessidade de um maior contingente de informações em relação a esta espécie (Loizou et al 2007).…”
Section: Introductionunclassified
“…Before processing an image into an application, the quality of an image has been improved by using the pre-processing techniques 3,4 . To get a new brightness value in the output image, it uses a pixel value of a neighborhood values an input image.…”
Section: Preprocessingmentioning
confidence: 99%