Missing: TopSpin Medical's Product Demo & Case Studies
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Missing: TopSpin Medical's Product & Differentiators
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TopSpin Medical Frequently Asked Questions (FAQ)
What is TopSpin Medical's latest funding round?
TopSpin Medical's latest funding round is Other Investors.
Who are the investors of TopSpin Medical?
Investors of TopSpin Medical include Israel Seed Partners and Giza Venture Capital.
Who are TopSpin Medical's competitors?
Competitors of TopSpin Medical include Mauna Kea Technologies, Imagimed, Quality Electrodynamics, Applied Spectral Imaging, IMRIS and 12 more.
Compare TopSpin Medical to Competitors
Kjaya is a company that received a SBIR Phase I grant for a project entitled: Semi-Autonomous Adaptive Neural and Genetic Segmentation of Medical Images. Their Phase I project will implement a physician-assisted, real-time adaptive system for the segmentation of anatomical structures in 3D medical image data. Medical image segmentation seeks to change the representation of an anatomical structure, making it more easily analyzed. Because of the extreme variability of these structures in biological systems, current idiosyncratic manual methods currently in use are tedious, time consuming, and error prone. Image segmentation cannot in general be programmatically solved. The proposed system is a Neural Network (NN) based adaptation of the individual data using parallel Graphics Processing Units (GPUs) and coupled with a Genetic Algorithm (GA) based adaptation across GPU cores. The system will build a diagnostically useful segmentation of the anatomical feature within seconds from an area of interest outlined by a physician using a Computed Tomography (CT) or Magnetic Resonance Imaging (MRI) scan. Fast growth in medical imaging overwhelms available diagnosticians. An intuitive and inexpensive system to quickly and accurately deliver diagnostic relevant segmentation of medical images offers tremendous commercial value. Currently, each scan requires approximately 50 minutes of manual preparation. The diagnosis and treatment of an estimated 20 percent of diseases benefit from medical imaging. Newer scanning technologies have increased in resolution, but such techniques have not made segmenting easier or faster. The proposed method will enable more diagnostics to be done with the quality controlled directly by physicians.
MicroMRI has developed an method to visualize bone micro-architecture using high resolution MRI. MicroMRI's product is post-processing software that converts MRI images into three-dimensional display of bone microarchitecture with the possibility of manual or automated measurements. MicroMRI can also provide a dedicated coil for high-resolution MR imaging of the wrist. Clinical investigators have used MicroMRI's post-processing software in combination with a modified spin echo pulse sequence called FLASE (Fast Large Angle Spin Echo).
Green Imaging Technologies, Inc. (GIT) specializes in Magnetic Resonance Imaging (MRI) technology. Specifically GIT is a Systems Integrator of MRI technology for industrial solutions. MRI is perhaps best known for health and pharmaceutical purposes such as bone and tissue scanning. GIT will now turn the focus of this powerful technology on applications for industry beginning with the analysis of rock core plug samples taken from exploration wells in the petroleum sector. GIT has a new patent-pending Capillary Pressure Measurement process, GIT-CAPTM, that aims to provide more accurate data in 1/10 the time of the existing process that can take 3-4 weeks to perform.
Supertron Technologies is a developer of high performance clinical and preclinical imaging products for magnetic resonance imaging (MRI).
Bodyviz creates incredible 3D MRI, CT scan visualizations, unlocking medical imaging for virtually anyone including the practicing surgeon. This virtual reality (VR) visualization software is affordably priced, lightweight, simple to use, and runs on a typical PC.
PetsDx Veterinary Imaging, Inc. is engaged in veterinary medicine and magnetic resonance imaging (MRI). PetsDX works with local veterinarians.
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