Design and Implementation of Medical Image Teleconsultation System Based on Web

2012 ◽  
Vol 429 ◽  
pp. 123-127 ◽  
Author(s):  
De Yu Chen ◽  
Zhi Lin Jiang ◽  
Jia Jun Yang ◽  
Wu Yi Zong
Keyword(s):  
Image Processing ◽  
Information Processing ◽  
Real Time ◽  
Medical Image ◽  
High Fidelity ◽  
Image Information ◽  
Real Time Processing ◽  
Time Processing ◽  
Design And Implementation ◽  
Time Interaction

In telemedicine, real-time processing, processing without distortion, and browsing without plug-ins for medical image are these reasons that hinder implementation of medical image teleconsultation system. The paper presents a design of medical image teleconsultation system. The system is designed and achieved by comprehensive adoption of Silverlight, Deep Zoom, WCF and image processing technology. During the course of teleconsultation, real-time interaction, sharing and browsing for medical image meet the requirement for patients’ image information processing. Based on B/S, the system can achieve accurate locating, high-fidelity reduction and enlargement and quick browsing for medical image, and real-time interaction for consultation information through a universal browser.

Measurement of Temperature Field in Laser Molten Pool by CCD Based on DSP

2008 ◽  
Vol 392-394 ◽  
pp. 693-696
Author(s):  
Z. Cao ◽  
Xi Chen Yang
Keyword(s):  
Image Processing ◽  
Temperature Field ◽  
Real Time ◽  
Measurement System ◽  
Molten Pool ◽  
Software Process ◽  
Real Time Processing ◽  
Time Processing ◽  
Gradient Image ◽  
Time Problem

In this paper, a measurement system of temperature field in laser molten pool by CCD based on DSP is presented. The paper also presents the system of hardware, software process, and the method of image processing by DSP. To solve the real time problem in the processing of measuring the temperature field, the system uses DSP as the main CPU, processing the image without a computer. By this method, the system can become simple and efficient and measure the laser molten pool temperature field quickly and exactly. Gradient image of temperature field is displayed on LCD after real time processing by this system. The final picture of temperature field can be directly analyzed.

scholarly journals A library for fMRI real-time processing systems in python (RTPSpy) with comprehensive online noise reduction, fast and accurate anatomical image processing, and online processing simulation

2021 ◽  
Author(s):  
Masaya Misaki ◽  
Jerzy Bodurka ◽  
Martin P Paulus
Keyword(s):  
Image Processing ◽  
Data Processing ◽  
Real Time ◽  
Easy Access ◽  
External Application ◽  
Real Time Processing ◽  
Time Processing ◽  
Target Signal ◽  
Processing Pipeline ◽  
Anatomical Image

We introduce a python library for real-time fMRI (rtfMRI) data processing systems, Real-Time Processing System in python (RTPSpy), to provide building blocks for a custom rtfMRI application with extensive and advanced functionalities. RTPSpy is a library package including 1) a fast, comprehensive, and flexible online fMRI denoising pipeline comparable to offline processing, 2) utilities for fast and accurate anatomical image processing to define a target region on-site, 3) a simulation system of online fMRI processing to optimize a pipeline and target signal calculation, 4) interface to an external application for feedback presentation, and 5) a boilerplate graphical user interface (GUI) integrating operations with RTPSpy library. Since online fMRI data processing cannot be equivalent to offline, we discussed the limitations of online analysis and their solutions in the RTPSpy implementation. We developed a fast and accurate anatomical image processing script with fast tissue segmentation (FastSeg), image alignment, and spatial normalization, utilizing the FastSurfer, AFNI, and ANTs. We confirmed that the FastSeg output was comparable with FreeSurfer, and could complete all the anatomical image processing in a few minutes. Thanks to its highly modular architecture, RTPSpy can easily be used for a simulation analysis to optimize a processing pipeline and target signal calculation. We present a sample script for building a real-time processing pipeline and running a simulation using RTPSpy. The library also offers a simple signal exchange mechanism with an external application. An external application can receive a real-time neurofeedback signal from RTPSpy in a background thread with a few lines of script. While the main components of the RTPSpy are the library modules, we also provide a GUI class for easy access to the RTPSpy functions. The boilerplate GUI application provided with the package allows users to develop a customized rtfMRI application with minimum scripting labor. Finally, we discussed the limitations of the package regarding environment-specific implementations. We believe that RTPSpy is an attractive option for developing rtfMRI applications highly optimized for individual purposes. The package is available from GitHub (https://github.com/mamisaki/RTPSpy) with GPL3 license.

scholarly journals Implementation of Thermal Event Image Processing Algorithms on NVIDIA Tegra Jetson TX2 Embedded System-on-a-Chip

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4416
Author(s):  
Bartłomiej Jabłoński ◽  
Dariusz Makowski ◽  
Piotr Perek
Keyword(s):  
Image Processing ◽  
Embedded System ◽  
Real Time ◽  
Plasma Diagnostics ◽  
Nuclear Fusion ◽  
Real Time Processing ◽  
Time Processing ◽  
Processing Algorithms ◽  
System On A Chip ◽  
Events Detection

Advances in Infrared (IR) cameras, as well as hardware computational capabilities, contributed towards qualifying vision systems as reliable plasma diagnostics for nuclear fusion experiments. Robust autonomous machine protection and plasma control during operation require real-time processing that might be facilitated by Graphics Processing Units (GPUs). One of the current aims of image plasma diagnostics involves thermal events detection and analysis with thermal imaging. The paper investigates the suitability of the NVIDIA Jetson TX2 Tegra-based embedded platform for real-time thermal events detection. Development of real-time processing algorithms on an embedded System-on-a-Chip (SoC) requires additional effort due to the constrained resources, yet low-power consumption enables embedded GPUs to be applied in MicroTCA.4 computing architecture that is prevalent in nuclear fusion projects. For this purpose, the authors have proposed, developed and optimised GPU-accelerated algorithms with the use of available software tools for NVIDIA Tegra systems. Furthermore, the implemented algorithms are evaluated and benchmarked on Wendelstein 7-X (W7-X) stellarator experimental data against the corresponding alternative Central Processing Unit (CPU) implementations. Considerable improvement is observed for the accelerated algorithms that enable real-time detection on the embedded SoC platform, yet some encountered limitations when developing parallel image processing routines are described and signified.

Design and Implementation of Responsive Processor for Parallel/Distributed Control and Its Development Environments

2001 ◽  
Vol 13 (2) ◽  
pp. 125-133 ◽  
Author(s):  
Nobuyuki Yamasaki ◽  
◽  
Keyword(s):  
Control Systems ◽  
Real Time ◽  
Distributed Control ◽  
Electronic Control ◽  
Real Time Processing ◽  
Time Processing ◽  
Design And Implementation ◽  
Asic Chip

In this paper, Responsive Processor for parallel/distributed real-time processing, which can control various electronic control systems, is designed and implemented. Responsive Processor is integrates many functions into an ASIC chip, such as a RISC processing core (SPARC), Responsive Links that realize realtime communication, many peripheral functions including SDRMI/Fs, DMAC, PCI, USB, SIO, PIP, timers, pulse counters, PWM generators, A/D converters, D/A converters, etc. Its control boards and development environments are also designed and implemented.

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