The Experts below are selected from a list of 318 Experts worldwide ranked by ideXlab platform
Thorsten M Buzug - One of the best experts on this subject based on the ideXlab platform.
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prediction of the spatial resolution of magnetic particle Imaging using the modulation transfer function of the Imaging Process
IEEE Transactions on Medical Imaging, 2011Co-Authors: Tobias Knopp, Sven Biederer, Timo F Sattel, Marlitt Erbe, Thorsten M BuzugAbstract:The magnetic particle Imaging method allows for the quantitative determination of spatial distributions of superparamagnetic nanoparticles in vivo. Recently, it was shown that the 1-D magnetic particle Imaging Process can be formulated as a convolution. Analyzing the width of the convolution kernel allows for predicting the spatial resolution of the method. However, this measure does not take into account the noise of the measured data. Furthermore, it does not consider a reconstruction step, which can increase the resolution beyond the width of the convolution kernel. In this paper, the spatial resolution of magnetic particle Imaging is investigated by analyzing the modulation transfer function of the Imaging Process. An expression for the spatial resolution is derived, which includes the noise level and which is validated in simulations and experiments.
Michio Koinuma - One of the best experts on this subject based on the ideXlab platform.
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Atomic Imaging of an InSe single‐crystal surface with atomic force microscope
Journal of Applied Physics, 1993Co-Authors: Kohei Uosaki, Michio KoinumaAbstract:The atomic force microscope was employed to observed in air the surface atomic structure of InSe, one of III‐VI compound semiconductors with layered structures. Atomic arrangements were observed in both n‐type and p‐type materials. The observed structures are in good agreement with those expected from bulk crystal structures. The atomic images became less clear by repeating the Imaging Process. Wide area Imaging after the Imaging of small area clearly showed that a mound was created at the spot previously imaged.
Robert K. Henderson - One of the best experts on this subject based on the ideXlab platform.
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Low dark count single-photon avalanche diode structure compatible with standard nanometer scale CMOS technology
IEEE Photonics Technology Letters, 2009Co-Authors: Justin A. Richardson, Lindsay A Grant, Robert K. HendersonAbstract:A single-photon avalanche diode structure implemented in a 130-nm Imaging Process is reported. The device employs a p-well anode, rather than the commonly adopted p+, and a novel guard ring compatible with recent scaling trends in standard nanometer scale complementary metal-oxide-semiconductor technologies. The 50-mum 2 active area device exhibits a dark count rate of 25 Hz at 20 degC and a photon detection efficiency peak of 28% at 500 nm.
Roland Kersting - One of the best experts on this subject based on the ideXlab platform.
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Identification of a resonant Imaging Process in apertureless near-field microscopy.
Physical Review Letters, 2004Co-Authors: Hou-tong Chen, Simon Kraatz, Roland KerstingAbstract:: We report on apertureless near-field microscopy in the far infrared. We identify a configurational resonance of the scanning tip-surface system to be the dominating mechanism that forms the image. Experimental data such as the high Imaging contrast and its spectral properties can be well explained and make the framework of a mesoscopic resonance an alternative to conventional scattering models that are used to interpret near-field data. Our findings are plausibly not restricted to the far infrared and may impact on near-field spectroscopy in general.
Andrew D A Maidment - One of the best experts on this subject based on the ideXlab platform.
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mammogram synthesis using a 3d simulation i breast tissue model and image acquisition simulation
Medical Physics, 2002Co-Authors: Predrag R Bakic, Michael Albert, Dragana Brzakovic, Andrew D A MaidmentAbstract:A method is proposed for generating synthetic mammograms based upon simulations of breast tissue and the mammographic Imaging Process. A computer breast model has been designed with a realistic distribution of large and medium scale tissue structures. Parameters controlling the size and placement of simulated structures (adipose compartments and ducts) provide a method for consistently modeling images of the same simulated breast with modified position or acquisition parameters. The mammographic Imaging Process is simulated using a compression model and a model of the x-ray image acquisition Process. The compression model estimates breast deformation using tissue elasticity parameters found in the literature and clinical force values. The synthetic mammograms were generated by a mammogram acquisition model using a monoenergetic parallel beam approximation applied to the synthetically compressed breast phantom.
