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Convolutional neural networks are a popular choice for current object detection and classification systems. Their performance improves constantly but for effective training, large, hand-labeled datasets are required. We address the problem of obtaining customized, yet large enough datasets for CNN training by synthesizing them in a virtual world, thus eliminating the need for tedious human interaction...
We have developed an electron-tracking Compton camera (ETCC) for new imaging reagents study. Energy limitation of gamma camera is major problem for this study. However, our ETCC has a wide energy dynamic range (200-1300 keV). In this paper, we show the results of imaging reagent study as follows: (1) F-18-FDG (511 keV) and I-131-MIBG (364 keV) simultaneous imaging for double clinical tracer imaging,...
Resolution recovery becomes an important technology for high-resolution and high-sensitivity Positron Emission Tomography (PET) cameras. High-definition PET images can be created after correcting detector parallax errors using point-spread functions. Many studies have demonstrated that better resolution and quantitative accuracy can be achieved by iterative reconstruction method with system respond...
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