Real-time automated image segmentation technique for cerebral aneurysm on reconfigurable system-on-chip

Zhai, Xiaojun; Eslami, Mohammad; Hussein, Ealaf Sayed Ahmed; Filali, Maroua Salem; Shalaby, Salma; Amira, Abbes; Bensaali, Fayçal; Dakua, Sarada Prasad; Abinahed, Julien; Al‐Ansari, Abdulla; Ahmed, Ayman Z.

doi:10.1016/j.jocs.2018.05.002

Cited by 37 publications

(20 citation statements)

References 28 publications

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“…An Ubuntu 16.04 Linux operating system is deployed on the PS, which is used to support the essential software building package for HemeLB implementation. The PS/PL interfaces of the proposed implementation are shown in Figure 3, where PL and PS are interfaced by various AXI (advanced extensible interface) high performance (HP) and general purpose (GP) ports [16].…”

Section: A Architecture Of Zynq Implementationmentioning

confidence: 99%

“…A number of novel architectures: multicore, general purpose graphical progressing units (GPGPUs) and field programmable gate arrays (FPGAs) have been developed recently, which have demonstrated great potential for accelerating computationally intensive tasks such as those found in machine learning and artificial intelligence applications [16] [17]. In this paper, a solution for designing and implementing HemeLB on cost efficient embedded platforms such as to allow visualisation of the simulation results in real-time and the execution of the code in the local environment of a hospital is presented, which is likely necessary for reasons of patient data protection.…”

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confidence: 99%

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Heterogeneous System-on-Chip-Based Lattice-Boltzmann Visual Simulation System

Zhai

Chen

Esfahani

et al. 2020

IEEE Systems Journal

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Cerebral aneurysm is a cerebrovascular disorder caused by a weakness in the wall of an artery or vein, that causes a localised dilation or ballooning of the blood vessel. It is life-threatening, hence an early and accurate diagnosis would be a great aid to medical professionals in making the correct choice of treatment. HemeLB is a massively parallel lattice-Boltzmann simulation software which is designed to provide the radiologist with estimates of flow rates, pressures and shear stresses throughout the relevant vascular structures, intended to eventually permit greater precision in the choice of therapeutic intervention. However, in order to allow surgeries and doctors to view and visualise the results in real-time at medical environments, a cost-efficient, practical platform is needed. In this paper, we have developed and evaluated a version of HemeLB on various heterogeneous system-on-chip platforms, allowing users to run HemeLB on a low cost embedded platform and to visualise the simulation results in real-time. A comprehensive evaluation of implementation on the Zynq SoC and Jetson TX1 embedded graphic processing unit platforms are reported. The achieved results show that the proposed Jetson TX1 implementation outperforms the Zynq implementation by a factor of 19 in terms of site updates per second.

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Section: A Architecture Of Zynq Implementationmentioning

confidence: 99%

mentioning

confidence: 99%

Heterogeneous System-on-Chip-Based Lattice-Boltzmann Visual Simulation System

Zhai

Chen

Esfahani

et al. 2020

IEEE Systems Journal

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“…[3] The OAM beams, which are special electromagnetic waves characterized by helical phase wave front and doughnut-shaped intensity profile, [4] have attracted extensive interests due to their excellent performance in optical imaging, particles manipulating and quantum information processing. [5][6][7][8][9] In addition to these established fields, the OAM beams also have been used in modern optical/microwave communication systems. [10][11][12][13] Unlike SAM only having two possible states, the OAM can theoretically provide infinite achievable modes.…”

Section: Introductionmentioning

confidence: 99%

Generation of Continuously Variable-mode Orbital Angular Momentum Beams

Xu¹,

Chen²,

Zhai³

et al. 2020

Eng. Sci.

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Orbital angular momentum (OAM) beam emitters with compact structure and high performance are highly desirable for wireless communication and radar technology. Here, we propose a compact emitter that only consists of a ring resonator and a feed line. Continuously-variable-mode OAM beams are generated by adjusting the wavelength and transmission path. The basic design principle and specific evaluation index are discussed. Both the simulated and experimental results demonstrate that the proposed emitter obtains the capacity of generating variable-modes. This approach opens a way for designing novel OAM beam emitter with desired properties.

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“…Looking at the steep rise in cardiac diseases, bona fide treatment including surgery is necessary to prevent its rise and avoid sudden cardiac death [1]. Similarly, cerebral aneurysm (CA) is one of the devastating cerebrovascular diseases of adult population worldwide that cause subarachnoid hemorrhage, intracerebral hematoma, and other complications leading to high mortality rate [2]. Surgery is considered as an efficient modality for the patients with cardiac complications and ruptured cerebral aneurysms.…”

Section: Introductionmentioning

confidence: 99%

Moving object tracking in clinical scenarios: application to cardiac surgery and cerebral aneurysm clipping

et al. 2019

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Background and objectivesSurgical procedures such as laparoscopic and robotic surgeries are popular since they are invasive in nature and use miniaturized surgical instruments for small incisions. Tracking of the instruments (graspers, needle drivers) and field of view from the stereoscopic camera during surgery could further help the surgeons to remain focussed and reduce the probability of committing any mistakes. Tracking is usually preferred in computerized video surveillance, traffic monitoring, military surveillance system, and vehicle navigation. Despite the numerous efforts over the last few years, object tracking still remains an open research problem, mainly due to motion blur, image noise, lack of image texture, and occlusion. Most of the existing object tracking methods are time-consuming and less accurate when the input video contains high volume of information and more number of instruments. MethodsThis paper presents a variational framework to track the motion of moving objects in surgery videos. The key contributions are as follows: (1) A denoising method using stochastic resonance in maximal overlap discrete wavelet transform is proposed and (2) a robust energy functional based on Bhattacharyya coefficient to match the target region in the first frame of the input sequence with the subsequent frames using a similarity metric is developed. A modified affine transformation-based registration is used to estimate the motion of the features following an active contour-based segmentation method to converge the contour resulted from the registration process. Results and conclusionThe proposed method has been implemented on publicly available databases; the results are found satisfactory. Overlap index (OI) is used to evaluate the tracking performance, and the maximum OI is found to be 76% and 88% on private data and public data sequences.

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Real-time automated image segmentation technique for cerebral aneurysm on reconfigurable system-on-chip

Cited by 37 publications

References 28 publications

Heterogeneous System-on-Chip-Based Lattice-Boltzmann Visual Simulation System

Heterogeneous System-on-Chip-Based Lattice-Boltzmann Visual Simulation System

Generation of Continuously Variable-mode Orbital Angular Momentum Beams

Moving object tracking in clinical scenarios: application to cardiac surgery and cerebral aneurysm clipping

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