With the prevalence of chronic disease, a growing geriatric population, high patient awareness, and the introduction of advanced medical imaging systems and picture archiving and communication systems (PACS), the medical imaging systems market is expected to grow through 2020, according to market research organization Hexa Research, Inc. An aging population becomes more susceptible to illness—especially chronic diseases, which accounts for the majority of deaths worldwide—and need to be diagnosed and treated with the help of medical imaging. The adoption of PACS, which stores and transfers medical images such as CT scans and X-rays, helps drive the growth of the market
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Trans-PET: Transformer of Translational Medicine
The Basic Detector Module (BDM) | PET Detector Module by X-Z LAB is all-digital, providing high-precision information of incoming gamma photons. Its modular design allows it to be set up with various PET systems, including PET/CT and PET/MRI. Preview its capabilities in the video below:
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Combined PET-MR: A Technology Becomes Mature
Researchers examine the use of combined PET/MR in their study published in the Journal of Nuclear Medicine run by the Society of Nuclear Medicine and Molecular Imaging (SNMMI). With breakthroughs in finding new detectors to replace photomultiplier tubes (PMT) in traditional PET, such as avalanche photodiodes (APD), Geiger-mode APDs (AKA silicon PMTs or solid-state PMTs), and silicon photomultipliers (SiPM), tolerance to magnetic fields and time-of-flight PET scans became possible. X-Z LAB’s Basic Detector Module (BDM) | PET Detector Module utilizes this technology and enhances it with our patented multi-voltage threshold (MVT) algorithm. Although the researchers do not see combined PET/MR
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A Multi-threshold Sampling Method for TOF-PET Signal Processing
Abstract As an approach to realizing all-digital data acquisition for Positron Emission Tomography (PET), we have previously proposed and studied a multi-threshold sampling method to generate samples of a PET event waveform with respect to a few user-defined amplitudes. In this sampling scheme, one can extract both the energy and timing information for an event. In this paper, we report our prototype implementation of this sampling method and the performance results obtained with this prototype. The prototype consists of two multi-threshold discriminator boards and a time-to-digital converter (TDC) board. Each of the multi-threshold discriminator boards takes one input and provides
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