A5056383446- Advanced SAR Imaging Techniques
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Electrospun Nanofibers in Biomedical Applications
- Microwave Imaging and Scattering Analysis
- 3D Printing in Biomedical Research
- Antenna Design and Optimization
- Tissue Engineering and Regenerative Medicine
- Electrohydrodynamics and Fluid Dynamics
- Bone Tissue Engineering Materials
- CCD and CMOS Imaging Sensors
- Infrared Target Detection Methodologies
- SARS-CoV-2 and COVID-19 Research
- Biosensors and Analytical Detection
- Spectroscopy Techniques in Biomedical and Chemical Research
- Geophysical Methods and Applications
- Ultrasonics and Acoustic Wave Propagation
- Advanced Image Processing Techniques
- SARS-CoV-2 detection and testing
- Numerical Methods and Algorithms
- Additive Manufacturing and 3D Printing Technologies
- Image Processing Techniques and Applications
- Advanced Vision and Imaging
- Radio Astronomy Observations and Technology
- Medical Imaging Techniques and Applications
Leibniz University Hannover
2011-2023
Modern 3D printing is a valuable tool for tissue engineering (TE), and the fabrication of complex geometries such as tubular scaffolds with adaptable structure, example, replacements intestines, bronchi, esophagus, or vessels, could contribute to standardized procedures in future regenerative medicine. However, high-precision bioprinting TE applications remain major challenge an arduous endeavor currently available three-axis bioprinters, which are limited planar, layer-by-layer processes....
The question if new embedded low power Graphic Processing Units (GPUs) can compete with Field Programmable Gate Arrays (FPGAs) in terms of performance and efficiency is addressed. A Virtex 6 a Ultrascale+ FPGA are compared to Jetson TX2 GPU. Instead basing the comparison on manufacturer reference numbers, hand optimized high implementations Fast Factorized Backprojection (FFBP) algorithm for Synthetic Aperture Radar (SAR) image generation have been investigated. Performance measured lines...
This paper presents the implementation and evaluation of an application-specific instruction set for a customizable RISC-processor very high throughput stereo image processing. Compared to base processor overall processing time is accelerated by factor over 130, while silicon area requirement increases only 2.9. The has been enhanced with algorithm-specific extensions (i.e. special functional units), as well that are not restricted specific algorithm (e.g. single-instruction-multiple-data)....
This paper introduces a resource-scalable FPGA architecture for backprojection-based stripmap SAR imaging. Low energy consumption and small system dimensions allow both, ground-based airborne applications. The is independent from specific FPGA-based evaluation platform, as it integrated on single requires only common external memory periphery. degree of independence increased further by encapsulating the developed or BackProjection Module (BPM) in framework that handles periphery addressing....
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has created a public crisis. Many medical and institutions businesses went into isolation in response to the pandemic. Because SARS-CoV-2 can spread irrespective of patient's course disease, these institutions' continued operation or reopening based on assessment control virus be supported by targeted population screening. For this purpose, testing form polymerase chain reaction (PCR) analysis antibody detection blood...
This paper introduces a Field Programmable Gate Array (FPGA) architecture for Synthetic Aperture Radar (SAR) processing. The implements Fast Factorized Backprojection (FFBP) algorithm stripmap imagery. designed is platform independent as it only requires regular external memory, and by encapsulation the design in superordinated system that controls board specific periphery, switch between platforms possible without adjustments. supports scalable parallelism of dedicated processing modules...
The lack of transplantable tissues and organs as well the limitations synthetic implants highlight need for tissue-engineered constructs to obtain safe, long-lasting, limitless tissue replacements. Scaffolds cardiovascular applications, such a vascular graft (TEVG), are thus highly required. For TEVGs, tubular scaffolds should support formation confluent endothelial layers in particular under dynamic conditions prevent thrombosis maintain hemostasis. that purpose, porous diffusible scaffold...
In an aging society, diseases associated with irreversible damage of organs are frequent. An increasing percentage patients requires bioartificial tissue or organ substitutes. Tissue engineering products depend on a well-defined process to ensure successful cultivation while meeting high regulatory demands. The goal the presented work is development bioreactor system for tissue-engineered vascular grafts (TEVGs) autologous implantation and transition from lab scale setup standardized...
Pre-endothelialization of a tissue-engineered vascular graft before implantation aims to prevent thrombosis and immunoreactions. This work demonstrates standardized cultivation process build confluent monolayer with human aortal endothelial cells on xenogenous scaffolds. Pre-tested dynamic conditions in flow slides pulsatile (1 Hz) representing arterial wall were transferred newly designed multi-featured rotational bioreactor system. The medium was thickened 1% methyl cellulose simulating...
The development of efficient hardware architectures for real-time SAR applications demands an intense analysis image formation algorithms. Especially the conversion to alternative number representations in terms ressource allocation is a crucial task. For error-sensitive Wavenumber Domain Algorithm (ω-k), minimum accuracy boundaries are evaluated. Therefore, this paper introduces integrated simulation and verification framework which covers entire cycle up dedicated data path configuration...
This paper introduces a new FPGA architecture optimized for Frequency Modulated Continuous Wave (FMCW) Synthetic Aperture Radar (SAR). The implements Global-Backprojection-Algorithm (GBP) which has been modified to be independent of platform velocity (start-stop-approximation). design supports parallelism dedicated GBP processing modules in order provide high performance. Compared MATLAB implementation on single core Intel i5 at 3.2 GHz the ML605 board provides minimum speed-up factor 94....
This paper presents the potential of standard frequency domain based SAR image generation techniques for real-time short-range FMCW applications. Exemplarily, a Range-Doppler algorithm is implemented in hardware and evaluated 80 GHz, 25 GHz bandwidth system. For implementation hardware-in-the-loop framework presented, capable coupling high-level MATLAB code with different evaluation environments. allows gradual swap time-critical signal processing tasks from software to hardware. The...
This paper presents parallelization strategies for the implementation of imaging algorithms synthetic aperture radar (SAR). Great emphasis is placed on time-domain based algorithms, namely Global Backprojection Algorithm (GBP) and its accelerated version, Fast Factorized (FFBP). Multi-core platforms are selected as some combine good performance results with moderate power consumption. The implemented support several types parallelization, stages can be handled sequentially or interleaved....
Autofocus techniques for synthetic aperture radar (SAR) enable high image quality in case of suboptimal flight trajectories. However, the computational effort formation is increased significantly. In already resource demanding time-domain based backprojection, highly iterative methods are therefore not feasible runtime-critical applications. An efficiently parallelizable and scalable minimum-search optimization algorithm presented, tailored to needs SAR autofocus on field programmable gate...