Detection of the intima and media walls of the carotid artery with geodesic active contours

Bastida-Jumilla, María-Consuelo; Morales‐Sánchez, Juan; Verdú‐Monedero, Rafael; Larrey-Ruiz, Jorge; Sancho‐Gómez, José‐Luis

doi:10.1109/icip.2010.5652719

Cited by 7 publications

(5 citation statements)

References 11 publications

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“…Because of the large spectrum of practical advantages that are achieved by enforcing spatial continuity constraints in the process of IMc segmentation, the snake-based approaches were popular among many researchers. despite their initial enthusiasm, many studies [23], [25]- [27], [29], [49] emphasized several practical and theoretical limitations associated with the snake-based approaches when applied to the IMc segmentation. The most obvious ones are related to the complexity of the contour initialization process and the poor contrast between the Ma interface and the surrounding arterial tissues.…”

Section: Discussionmentioning

confidence: 99%

“…Table II provides information regarding the names of the researchers who authored each paper, year of publication, whether the method was developed for the segmentation of still or video ultrasound data, details of the data used in the experimental activity, and performance indicators. Based on the underlying approach employed by the published works to identify the IMc in cca ultrasound data, the algorithms in Table II can be broadly categorized as edge-based [16], [18], [19]- [21], [24], [47], [48], active contours [23], [25]- [27], [29], [49], dynamic programming [11], [28], [50], and probabilistic IMc segmentation methods [17]. an initial categorization of the field of research focused on the IMc segmentation has been detailed in [51] and in this section we aim to complement that study by providing an additional analysis of the methods that were developed for the IMc detection/tracking in 2-d + time ultrasound image sequences.…”

Section: Discussionmentioning

confidence: 99%

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Fully automated segmentation and tracking of the intima media thickness in ultrasound video sequences of the common carotid artery

Ilea

Duffy

Kavanagh

et al. 2013

IEEE Trans. Ultrason., Ferroelect., Freq. Contr.

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Abstract-The robust identification and measurement of the intima media thickness (IMT) has a high clinical relevance because it represents one of the most precise predictors used in the assessment of potential future cardiovascular events. To facilitate the analysis of arterial wall thickening in serial clinical investigations, in this paper we have developed a novel fully automatic algorithm for the segmentation, measurement, and tracking of the intima media complex (IMC) in B-mode ultrasound video sequences. The proposed algorithm entails a two-stage image analysis process that initially addresses the segmentation of the IMC in the first frame of the ultrasound video sequence using a model-based approach; in the second step, a novel customized tracking procedure is applied to robustly detect the IMC in the subsequent frames. For the video tracking procedure, we introduce a spatially coherent algorithm called adaptive normalized correlation that prevents the tracking process from converging to wrong arterial interfaces. This represents the main contribution of this paper and was developed to deal with inconsistencies in the appearance of the IMC over the cardiac cycle. The quantitative evaluation has been carried out on 40 ultrasound video sequences of the common carotid artery (CCA) by comparing the results returned by the developed algorithm with respect to ground truth data that has been manually annotated by clinical experts. The measured IMT mean ± standard deviation recorded by the proposed algorithm is 0.60 mm ± 0.10, with a mean coefficient of variation (CV) of 2.05%, whereas the corresponding result obtained for the manually annotated ground truth data is 0.60 mm ± 0.11 with a mean CV equal to 5.60%. The numerical results reported in this paper indicate that the proposed algorithm is able to correctly segment and track the IMC in ultrasound CCA video sequences, and we were encouraged by the stability of our technique when applied to data captured under different imaging conditions. Future clinical studies will focus on the evaluation of patients that are affected by advanced cardiovascular conditions such as focal thickening and arterial plaques.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Fully automated segmentation and tracking of the intima media thickness in ultrasound video sequences of the common carotid artery

Ilea

Duffy

Kavanagh

et al. 2013

IEEE Trans. Ultrason., Ferroelect., Freq. Contr.

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“…Author admitted that the computational time depends on the size of the carotid artery and the location of the seed point. In 2010, Bastida-Jumilla et al [54] used geodesic active contours for IMC detection. In 2011, Petroudi et al [24] proposed the fully automated segmentation algorithm based on active contours, and active contours without edges were proposed in which anatomical information was incorporated to achieve accurate segmentation.…”

Section: Segmentation Techniquesmentioning

confidence: 99%

Carotid Artery Segmentation in Ultrasound Images and Measurement of Intima-Media Thickness

Naik¹,

Gamad²,

Bansod³

2013

BioMed Research International

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Background. The segmentation of the common carotid artery (CCA) wall is imperative for the determination of the intima-media thickness (IMT) on B-mode ultrasound (US) images. The IMT is considered an important indicator in the evaluation of the risk for the development of atherosclerosis. In this paper, authors have discussed the relevance of measurements in clinical practices and the challenges that one has to face while approaching the segmentation of carotid artery on ultrasound images. The paper presents an overall review of commonly used methods for the CCA segmentation and IMT measurement along with the different performance metrics that have been proposed and used for performance validation. Summary and future directions are given in the conclusion.

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“…The reported results indicate the efficiency of this approach in reducing the level of outliers, but several problems that are caused by the gaps in the IMT structure started to surface. The assumption that in longitudinal images of the carotid artery the IMT is defined by a pair of active contours was used in subsequent contributions [22][23][24][25][26]. However, all contributions require a user interaction in the process of initializing the active contours.…”

Section: Imt Segmentation Algorithmsmentioning

confidence: 99%

Quantitative Assessment of Peripheral Arteries in Ultrasound Images

Gutierrez¹,

Higa²,

Pilon³

et al. 2013

Medical Imaging in Clinical Practice

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Detection of the intima and media walls of the carotid artery with geodesic active contours

Cited by 7 publications

References 11 publications

Fully automated segmentation and tracking of the intima media thickness in ultrasound video sequences of the common carotid artery

Fully automated segmentation and tracking of the intima media thickness in ultrasound video sequences of the common carotid artery

Carotid Artery Segmentation in Ultrasound Images and Measurement of Intima-Media Thickness

Quantitative Assessment of Peripheral Arteries in Ultrasound Images

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