A dynamic programming procedure for automated ultrasonic measurement of the carotid artery

Gustavsson, Tomas; Liang, Qi; Wendelhag, Inger; Wikstrand, John

doi:10.1109/cic.1994.470190

Cited by 33 publications

(45 citation statements)

References 2 publications

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“…The third term f 3 (p i ) measures the downward intensity gradient which is expected at the upper edge of an echo zone Z4. The intensity gradient is estimated as the vertical slope of intensity at the pixel p i using a vertical gradient operator [1 0 -1] T instead of a 5 · 5 neighborhood window used in [8,10,17]. The final cost term g(p i-1 , p i ) is proportional to the square of the difference in vertical distance between the border being estimated and a reference line at node p i ; this term is designed to ensure border continuity.…”

Section: Cost Functionmentioning

confidence: 99%

“…In this paper, we will present a semi-automatic detection procedure for measuring NT thickness based on DP [8,10,17] improved by a nonlinear anisotropic diffusion filtering. We start by preprocessing an image, defining a region of interest in order to reduce interference from the image boundary and to adapt to different fetal head positions and sizes of NT layer.…”

Section: Introductionmentioning

confidence: 99%

“…However, the procedure needs many steps such as ROI definition, filtering, Otsu's thresholding, dilation, labeling connecting components, etc., a discussion about irregular boundaries is missing. A computerized method to automatically detect the boundaries of intima-media using dynamic programming (DP) was proposed [8,10,17], which takes multiple-image features into account. By considering multiple-image features, such as intensity, gradient and border continuity, this method has obtained accurate and reproducible automated ultrasonic measurements.…”

Section: Introductionmentioning

confidence: 99%

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Robust border enhancement and detection for measurement of fetal nuchal translucency in ultrasound images

Lee

Kim

2007

Med Bio Eng Comput

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Ultrasonic measurement of nuchal translucency (NT) thickness in the first trimester of pregnancy has recently been proposed as the most useful marker in early screening for fetal chromosomal abnormalities. However, manual tracing of the two echogenic lines in the image, using on-screen calipers, is hampered by weak edges, together with noise and other artifacts, leading to variable results and inefficiency. Our semi-automatic method of fetal NT thickness measurement uses a coherence-enhancing diffusion filter to enhance the border and reduce noise, followed by detection of the NT by minimization of a cost function, that combines intensity, edge strength and continuity, using dynamic programming. This method has been validated by determining the correlation between manual and semi-automatic measurements.

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Section: Cost Functionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Robust border enhancement and detection for measurement of fetal nuchal translucency in ultrasound images

Lee

Kim

2007

Med Bio Eng Comput

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“…Sometimes intervention from an inexperienced user may lead to false results. Snake-based method [3], dynamic programming [4], and combination of both [5] have been used for automatic IMT measurement. In [6], authors have proposed a semiautomatic snake-based method for the segmentation of carotid artery images.…”

Section: Introductionmentioning

confidence: 99%

Automatic Active Contour-Based Segmentation and Classification of Carotid Artery Ultrasound Images

et al. 2013

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In this paper, we present automatic image segmentation and classification technique for carotid artery ultrasound images based on active contour approach. For early detection of the plaque in carotid artery to avoid serious brain strokes, active contour-based techniques have been applied successfully to segment out the carotid artery ultrasound images. Further, ultrasound images might be affected due to rotation, scaling, or translational factors during acquisition process. Keeping in view these facts, image alignment is used as a preprocessing step to align the carotid artery ultrasound images. In our experimental study, we exploit intima-media thickness (IMT) measurement to detect the presence of plaque in the artery. Support vector machine (SVM) classification is employed using these segmented images to distinguish the normal and diseased artery images. IMT measurement is used to form the feature vector. Our proposed approach segments the carotid artery images in an automatic way and further classifies them using SVM. Experimental results show the learning capability of SVM classifier and validate the usefulness of our proposed approach. Further, the proposed approach needs minimum interaction from a user for an early detection of plaque in carotid artery. Regarding the usefulness of the proposed approach in healthcare, it can be effectively used in remote areas as a preliminary clinical step even in the absence of highly skilled radiologists.

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“…Sometimes inexperienced user intervention may lead toward false results. Snake based method [3], dynamic programming [4] and combination of both [5] are used for automatic IMT measurement. In [6] authors have proposed a semi-automatic snakes based method for segmentation of carotid artery images.…”

Section: ⅰ Introductionmentioning

confidence: 99%

Automatic Carotid Artery Image Segmentation using Snake Based Model

Chaudhry¹,

Hassan²,

Khan³

et al. 2013

The Journal of Korea Navigation Institute

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Disease diagnostics based on medical imaging is getting popularity day by day. Presence of the arthrosclerosis is one of the causes of narrowing of carotid arteries which may block partially or fully blood flow into the brain. Serious brain strokes may occur due to such types of blockages in blood flow. Early detection of the plaque and taking precautionary steps in this regard may prevent from such type of serious strokes. In this paper, we present an automatic image segmentation technique for carotid artery ultrasound images based on active contour approach. In our experimental study, we assume that ultrasound images are properly aligned before applying automatic image segmentation. We have successfully applied the automatic segmentation of carotid artery ultrasound images using snake based model. Qualitative comparison of the proposed approach has been made with the manual initialization of snakes for carotid artery image segmentation. Our proposed approach successfully segments the carotid artery images in an automated way to help radiologists to detect plaque easily. Obtained results show the effectiveness of the proposed approach.

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A dynamic programming procedure for automated ultrasonic measurement of the carotid artery

Cited by 33 publications

References 2 publications

Robust border enhancement and detection for measurement of fetal nuchal translucency in ultrasound images

Robust border enhancement and detection for measurement of fetal nuchal translucency in ultrasound images

Automatic Active Contour-Based Segmentation and Classification of Carotid Artery Ultrasound Images

Automatic Carotid Artery Image Segmentation using Snake Based Model

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