Real-Time Reconstruction of Sensitivity Encoded Radial Magnetic Resonance Imaging Using a Graphics Processing Unit

Magnetic Resonance-Electrical Properties Tomography (MR-EPT) is a method to reconstruct the electrical properties (EPs) of bio-tissues from the measured radiofrequency (RF) field in Magnetic Resonance Imaging (MRI). Current MR-EPT approaches reconstruct the EP profile by solving a second-order partial differential wave equation problem, which is sensitive to noise and can induce large reconstruction artefacts near tissue boundaries and areas with inaccurate field measurements. In this paper, a novel MR-EPT approach is proposed, which is based on a direct solution to Maxwell’s curl equations. The distribution of EPs is calculated by iteratively fitting the RF field calculated by the finite-difference-time-domain (FDTD) technique to the measured values. To solve the time-consuming problem of the iterative fitting, a graphics processing unit (GPU) is used to accelerate the FDTD technique to process the field calculation kernel. The new EPT method was evaluated by investigating a numerical head phantom, and it was found that EP values can be accurately calculated and were relatively insensitive to simulated RF field errors. The feasibility of the proposed method was further validated using phantom-based experimental data collected from a 9.4 Tesla (T) Magnetic Resonance Imaging (MRI) system. The results also indicated that more accurate EP values could be reconstructed from the new method compared with conventional methods. Moreover, even in the absence of phase information of the RF field, the proposed approach is still capable of offering robust EPT solutions, thus having improved practicality for potential clinical applications.

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Articulatory Synthesis Based on Real-Time Magnetic Resonance Imaging Data

10.21437/interspeech.2016-596 ◽

2016 ◽

Cited By ~ 5

Author(s):

Asterios Toutios ◽

Tanner Sorensen ◽

Krishna Somandepalli ◽

Rachel Alexander ◽

Shrikanth S. Narayanan

Keyword(s):

Magnetic Resonance Imaging ◽

Magnetic Resonance ◽

Real Time ◽

Imaging Data ◽

Resonance Imaging ◽

Magnetic Resonance Imaging Data ◽

Articulatory Synthesis

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Real-time, High-resolution Depth Upsampling on Embedded Accelerators

ACM Transactions on Embedded Computing Systems ◽

10.1145/3436878 ◽

2021 ◽

Vol 20 (3) ◽

pp. 1-22

Author(s):

David Langerman ◽

Alan George

Keyword(s):

High Resolution ◽

Low Power ◽

Real Time ◽

Mixed Reality ◽

Graphics Processing Unit ◽

Processing Unit ◽

Reconfigurable Logic ◽

Depth Sensors ◽

Time Requirements ◽

Graphics Processing

High-resolution, low-latency apps in computer vision are ubiquitous in today’s world of mixed-reality devices. These innovations provide a platform that can leverage the improving technology of depth sensors and embedded accelerators to enable higher-resolution, lower-latency processing for 3D scenes using depth-upsampling algorithms. This research demonstrates that filter-based upsampling algorithms are feasible for mixed-reality apps using low-power hardware accelerators. The authors parallelized and evaluated a depth-upsampling algorithm on two different devices: a reconfigurable-logic FPGA embedded within a low-power SoC; and a fixed-logic embedded graphics processing unit. We demonstrate that both accelerators can meet the real-time requirements of 11 ms latency for mixed-reality apps. 1

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Graphics processing unit aided highly stable real-time spectral-domain optical coherence tomography at 1375 nm based on dual-coupled-line subtraction

Laser Physics Letters ◽

10.1088/1612-2011/10/4/045604 ◽

2013 ◽

Vol 10 (4) ◽

pp. 045604 ◽

Cited By ~ 8

Author(s):

Ji-hyun Kim ◽

Jae-Ho Han ◽

Jichai Jeong

Keyword(s):

Optical Coherence Tomography ◽

Real Time ◽

Graphics Processing Unit ◽

Spectral Domain ◽

Processing Unit ◽

Optical Coherence ◽

Coupled Line ◽

Graphics Processing

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Fusion imaging in brain structure measurements on a fetus phantom, combining real‐time ultrasound with magnetic resonance imaging

Australasian Journal of Ultrasound in Medicine ◽

10.1002/ajum.12246 ◽

2021 ◽

Author(s):

Anastasija Arechvo ◽

Göran Lingman ◽

Lars Thurn ◽

Tomas Jansson ◽

Ligita Jokubkiene

Keyword(s):

Magnetic Resonance Imaging ◽

Magnetic Resonance ◽

Real Time ◽

Brain Structure ◽

Fusion Imaging ◽

Resonance Imaging

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Electronic Orientation Aid for Visually Impaired using Graphics Processing Unit (GPU)

ITM Web of Conferences ◽

10.1051/itmconf/20203203054 ◽

2020 ◽

Vol 32 ◽

pp. 03054

Author(s):

Akshata Parab ◽

Rashmi Nagare ◽

Omkar Kolambekar ◽

Parag Patil

Keyword(s):

Real Time ◽

Visually Impaired ◽

Graphics Processing Unit ◽

Human Perception ◽

Processing Unit ◽

Surrounding Environment ◽

Visually Impaired People ◽

Impaired People ◽

Definition Of ◽

Graphics Processing

Vision is one of the very essential human senses and it plays a major role in human perception about surrounding environment. But for people with visual impairment their definition of vision is different. Visually impaired people are often unaware of dangers in front of them, even in familiar environment. This study proposes a real time guiding system for visually impaired people for solving their navigation problem and to travel without any difficulty. This system will help the visually impaired people by detecting the objects and giving necessary information about that object. This information may include what the object is, its location, its precision, distance from the visually impaired etc. All these information will be conveyed to the person through audio commands so that they can navigate freely anywhere anytime with no or minimal assistance. Object detection is done using You Only Look Once (YOLO) algorithm. As the process of capturing the video/images and sending it to the main module has to be carried at greater speed, Graphics Processing Unit (GPU) is used. This will help in enhancing the overall speed of the system and will help the visually Impaired to get the maximum necessary instructions as quickly as possible. The process starts from capturing the real time video, sending it for analysis and processing and get the calculated results. The results obtained from analysis are conveyed to user by means of hearing aid. As a result by this system the blind or the visually impaired people can visualize the surrounding environment and travel freely from source to destination on their own.

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