scholarly journals Medical Application of Nonwoven Fabrics - Intra-abdominal Spacers for Particle Therapy

10.5772/61787 ◽  
2016 ◽  
Author(s):  
Ryohei Sasaki ◽  
Hiroaki Akasaka ◽  
Yusuke Demizu ◽  
Sachiko Inubushi ◽  
Tianyuan Wang ◽  
...  
Keyword(s):  
Medical Application ◽  
Particle Therapy ◽  
Nonwoven Fabrics

STATUS OF PAMELA: AN UK PARTICLE THERAPY FACILITY PROJECT USING NS-FFAG

2011 ◽  
Vol 26 (10n11) ◽  
pp. 1887-1902
Author(s):  
◽  
TAKEICHIRO YOKOI
Keyword(s):  
Medical Application ◽  
High Repetition Rate ◽  
Particle Accelerator ◽  
Particle Therapy ◽  
Promising Candidate ◽  
Fixed Field ◽  
Lattice Design ◽  
High Repetition ◽  
Energy Variable ◽  
New Type

PAMELA(Particle Accelerator for Medical Application) aims to design a particle therapy facility using NS-FFAG(Non-Scaling Fixed Field Alternating Gradient) accelerator. A newly proposed lattice design and the new type of combined function magnet provide the accelerator flexible tuneability of operating point and variability in operation modes. A remarkable features for a fixed field accelerator are its high repetition rate, about 1 kHz, and energy variable beam extraction. These features make the machine a promising candidate of versatile accelerator not restricted to medical applications.

Medical Application of Hypnosis

1982 ◽  
Vol 27 (1) ◽  
pp. 62-62
Author(s):  
Lewis R. Wolberg
Keyword(s):  
Medical Application

scholarly journals FRED: a fast Monte Carlo code on GPU for quality control in Particle Therapy

2020 ◽  
Vol 1548 ◽  
pp. 012020
Author(s):  
M De Simoni ◽  
M Fischetti ◽  
E Gioscio ◽  
M Marafini ◽  
R Mirabelli ◽  
...  
Keyword(s):  
Quality Control ◽  
Monte Carlo ◽  
Particle Therapy ◽  
Monte Carlo Code

scholarly journals Flow velocity quantification by exploiting the principles of the Doppler effect and magnetic particle imaging

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Dennis Pantke ◽  
Florian Mueller ◽  
Sebastian Reinartz ◽  
Fabian Kiessling ◽  
Volkmar Schulz
Keyword(s):  
Flow Velocity ◽  
Magnetic Particle ◽  
Imaging Techniques ◽  
Radiation Risk ◽  
Medical Application ◽  
Velocity Estimation ◽  
Magnetic Particle Imaging ◽  
Measurable Velocity ◽  
Depth Dependency ◽  
Particle Imaging

AbstractChanges in blood flow velocity play a crucial role during pathogenesis and progression of cardiovascular diseases. Imaging techniques capable of assessing flow velocities are clinically applied but are often not accurate, quantitative, and reliable enough to assess fine changes indicating the early onset of diseases and their conversion into a symptomatic stage. Magnetic particle imaging (MPI) promises to overcome these limitations. Existing MPI-based techniques perform velocity estimation on the reconstructed images, which restricts the measurable velocity range. Therefore, we developed a novel velocity quantification method by adapting the Doppler principle to MPI. Our method exploits the velocity-dependent frequency shift caused by a tracer motion-induced modulation of the emitted signal. The fundamental theory of our method is deduced and validated by simulations and measurements of moving phantoms. Overall, our method enables robust velocity quantification within milliseconds, with high accuracy, no radiation risk, no depth-dependency, and extended range compared to existing MPI-based velocity quantification techniques, highlighting the potential of our method as future medical application.

scholarly journals Design and control of a passive compliant actuation with positioning measurement by LED and photodiode detector for medical application

2021 ◽  
Vol 54 (3-4) ◽  
pp. 216-230
Author(s):  
Anan Suebsomran
Keyword(s):  
Supervisory Control ◽  
Electromagnetic Interference ◽  
Medical Application ◽  
Torque Control ◽  
Assistive Device ◽  
Joint Control ◽  
Design Error ◽  
Exoskeleton Robot ◽  
Compliant Actuation ◽  
Wearable Exoskeleton

Control of assistive exoskeleton robot recently has to be crucial of development and innovation of medical application. To support daily motions for humans, control application of assistive exoskeleton robot allows for limb movement with increased strength and endurance during patient’s wearable exoskeleton robot application. The interaction between such exoskeleton device and the human body at the connecting joint, especially the knees, is the main interest of this design formation. The assistive device requires to design and to develop into innovation design aspect. This research presents the novel design of an active compliant actuation joint in order to increasing the higher torque of actuation than conventional actuation joint. Control design of the higher torque actuation usually difficult priori to conventional torque control. This will contributed to applying the supervisory control for compliant actuation that verified by experiment method. Then the hybrid Radial Basis Function neural network (RBFNN) and PID were proposed for actuating torque control methods. Experimental results show that the design of supervisory control is get better response, and higher producing torque output than the conventional design. Error of torque control of compliant actuation is not instead of [Formula: see text] N·m for applying supervisory control, RBFNN with PID controller. Indeed, the low electromagnetic interference (EMI) positioning system using LED and photodiode detector is proposed to be usable in medical application.

scholarly journals Low Power Contactless Bioimpedance Sensor for Monitoring Breathing Activity

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2081
Author(s):  
Marko Pavlin ◽  
Franc Novak ◽  
Gregor Papa
Keyword(s):  
Dielectric Properties ◽  
Low Power ◽  
Medical Application ◽  
Fast Response ◽  
The Body ◽  
Frequency Change ◽  
Tissue Composition ◽  
Medical Sector ◽  
Bioimpedance Measurement ◽  
Wide Operating

An electronic circuit for contactless detection of impedance changes in a tissue is presented. It operates on the principle of resonant frequency change of the resonator having the observed tissue as a dielectric. The operating frequency reflects the tissue dielectric properties (i.e., the tissue composition and on the tissue physiological changes). The sensor operation was tested within a medical application by measuring the breathing of a patient, which was an easy detectable physiological process. The advantage over conventional contact bioimpedance measurement methods is that no direct contact between the resonator and the body is required. Furthermore, the sensor’s wide operating range, ability to adapt to a broad range of measured materials, fast response, low power consumption, and small outline dimensions enables applications not only in the medical sector, but also in other domains. This can be extended, for example, to food industry or production maintenance, where the observed phenomena are reflected in dynamic dielectric properties of the observed object or material.

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