This study proposed a CCD-based (charge-coupled device) optical computed tomography scanner (CT-s2) for 3D gel dosimetry. A parallel laser light was generated to pass through the gel sample using a diffuser and collimating lens. A CCD was used to capture projection image of gel sample at each step. An image reconstruction algorithm, filtered-back projection (FBP) technique was used to reconstruct the 3D image. Two better rotational steps are suggested as 1.0 degree and 1.5 degree for considering both of angular resolution and position deviation. The un-irradiated and irradiated BANG gel samples were scanned and reconstructed using FBP technique. Some artifacts were found in reconstructed images. Some discussions for artifacts were conducted and some solutions provided by previous researches to reduce these artifacts will be evaluated in the future work.
The FPGA platform is a developing area in the industry applications. With continuous advancement in science and technology, the image quality has entered an era of full-HD. Its resolution reaches 1920x1080 pixels, and its refresh rate comes to 60 fps (Frames Per Second). Taking the 1920x1080 P, 60 fps image sensor as an example, the eye diagram efficacy at both the image input end and the output end were measured. When the input signal was LVDS, the standard value of the eye width and height was 1.092 ns and 100mV respectively. The measured value was 1.297 ns and 149 mV respectively, which are 18% and 49% better than the standard value, respectively. When the output signal was HDMI, the standard [1] of the eye diagram was 424 ps and 400 mV respectively. The measured value was about 540 ps and 600 mV respectively, which are 27% and 50% better than the standard value, respectively. The results of measurement of the electrical characteristics of the system above show that our high-resolution image processing system platform has high reliability.
An unstable gait provides early warning of more serious conditions. In this study, we propose the use of pressure sensors embedded into a shoe pad along with a 3D accelerometer fastened to the knee. We have implemented a portable gait-measuring device integrated with a ZigBee wireless sensor network. Moreover, the step length, step speed, and step distance are easily calculated in the user interface. These data can then be used to distinguish the seven decision points of a complete gait cycle. Analysis of the gait cycle is done using fuzzy logic. The detected gait phases can be compared with standard gait parameters from the literature. Thus, the analyzed gait parameters can provide early detection of the emergence of an unstable gait. Finally, because our system measures knee flexion angle, it can detect the swing phase of the gait cycle.
At present, most of medical facilities are using PACS (Picture Archiving and Communication System) to manage various medical images. PACS is a medical image management system and the main purpose of PACS is to replace conventional film with digital images and to allow medical professionals to view digital photographs or images of diagnostic tests, interpretations and related data simultaneously from multiple sites. In the paper we further propose a Cloud image data platform which is suitable for managing medical images. This platform collaborates with PACS in medical facilities and it immediately delivers images captured by equipment via parallel connection to remote server in form of parallel streaming. Taking advantage of parallel streaming technology, we have solved the medical resources sharing problem and problem caused at delivering and storing consecutive high resolution image files. Patients who are to be transferred to other medical facilities will no longer re-do all examinations. This saves medical resources and physician’s precious time. Our experiments shows our parallel streaming delivering platform improves the transmission efficiency on LAN (Local Area Network), TANet (Taiwan Academic Network) and home-group network by 45.6%, 49.4%, and 8.1% respectively in comparison with conventional single server system using FTP transmission.
With continuous advancement in science and technology, the image quality has entered an era of full-HD. This study developed a high-reliability image processing system platform, based on the FPGA platform. By using a high-reliability hardware platform development process, and with the aid of the simulation software, this study simulated the transmission integrity of the high-speed digital signals on the PCB. The proposed method was used to build a FPGA-based high-reliability image processing system platform. The implementation in this study, with the length of the Clock and DQS signal line of DDR2 being controlled within 555 mil, was discussed, and the errors were analyzed. The simulated value of the tDQSCK was 195.048 ps, the measured value was 215 ps, and the standard value of the JEDEC was less than 350 ps. Between the simulated value and the measured value, there was only an error of about 9.3%, which meets the reliability requirement. The length tolerance of the signal line laid was 38.5% better than the standard value of the JEDEC.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.