(or I), a (M + 1) × (N + 1) neighborhood with and calling sweeping window is being processed. Then, textural features are extracted from this sweeping window and assigned to the central pixel. Finally, according…
Fig. 13.1 IVUS image in polar coordinates (a) and Cartesian coordinates (b) with the presence of lipidic (LIP) and calcified (CAL) plaques that were histologically identified The acoustic response of different…
Fig. 18.1 Automated cropping of the ultrasound DICOM image. The original image frame (left) is cropped (right). The white circle indicates the scanning depth, which could be used for manual…
Fig. 8.1 General procedure of 3D plaque geometry reconstruction Fig. 8.2 Segmentation results for the symptomatic patients superimposed on T2-weighted MRI images (a) and reconstructed 3D plaque geometry (b) 2.3…
Fig. 22.1 Intima–media complex in a B-mode image of the common carotid artery (CCA). The lumen (zone Z4) is the region where the blood flows. The CCA wall is formed…
Fig. 21.1 (a) Original B-mode image. (b) Downsampled and despeckled image. (c) Convolution of image (b) with a first-order Gaussian kernel. (d) Automated tracing of the far adventitia layer (ADF)…
Study Segmentation method 2D/3D AIC N Ultrasound imaging Zahalka et al. [5] Deformable models 3D No 69 Hamou et al. [6] Canny edge detection 2D No – Abdel-Dayen et al….
Fig. 29.1 Block diagram of the proposed technique; the blocks outside the dotted shaded rectangular box represent the flow in the off-line system, and the blocks within the dotted box…
Fig. 17.1 Samples of high-resolution and low-resolution images. (a) High-resolution image where the intima and adventitia layers are neatly defined, noise is low, and pixel density is high (about 20 pixels/mm)….
Fig. 14.1 Framework presented in the current chapter Section 2 describes a cross-sectional study for characterizing the symptomatic plaque including a detailed description of the data (Sect. 2.1) and methods (Sect. 2.2) used. Then,…
