2014
DOI: 10.5539/cis.v7n3p49
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A Dual Curvature Shell Phased Array Simulation for Delivery of High Intensity Focused Ultrasound

Abstract: This paper describes the design and the evaluation for a simulation model for the dual curvature ultrasound phased array. The main goal of this simulation is to enhance the usage of dual curvature ultrasound phased array in ultrasound therapy with three dimensional phased arrays. In our simulation, focusing the total acoustic power within a specific phase can be controlled dynamically for each individual element. Moreover, a 45 steering angle in x-z plan was achieved. A software based simulation using MATLAB … Show more

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Cited by 3 publications
(2 citation statements)
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“…If the input images are quite large, reducing their size can drastically shorten the training time without severely degrading the model's performance. Though geometric image transformations like translation, rotation, and scaling are considered pre-processing techniques, the goal of pre-processing is to improve the picture data by enhancing certain elements necessary for subsequent processing or by decreasing unintended distortions (Gharaibeh et al, 2021;Gharaibeh et al, 2018;Ma'moun et al, 2014). In this paper, we will consider the pre-processing to be specified by Equation 1and Equation 2:…”
Section: Pre-processingmentioning
confidence: 99%
“…If the input images are quite large, reducing their size can drastically shorten the training time without severely degrading the model's performance. Though geometric image transformations like translation, rotation, and scaling are considered pre-processing techniques, the goal of pre-processing is to improve the picture data by enhancing certain elements necessary for subsequent processing or by decreasing unintended distortions (Gharaibeh et al, 2021;Gharaibeh et al, 2018;Ma'moun et al, 2014). In this paper, we will consider the pre-processing to be specified by Equation 1and Equation 2:…”
Section: Pre-processingmentioning
confidence: 99%
“…Segmentation is one of the major processes to segment the gray matter, white matter and cerebrospinal fluid to extract the significant features for classification. Some of the existing work doesn't perform segmentation and the majority of the existing works accomplished the segmentation using automated image analyzing tool such as statistical parametric mapping (SPM), FreeSurfer and FSL-FAST4 which consume more computational time to perform full segmentation, lack of validation, automated methods in estimating the volume will not accurate and the automated tools compare intensity to atlas on to guide segmentation this augment issues of loss of fine information which leads to segmentation problem and affect the segmentation accuracy [11,[13][14][15][16].…”
Section: Introductionmentioning
confidence: 99%