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Memory-efficient deep learning algorithms for computed tomography image reconstruction

Memory-efficient deep learning algorithms for computed tomography image reconstruction

Unmet Need Using high resolution images such as computed tomography (CT) has become a popular tool to guide medical interventions from radiotherapy to dental implantation. The market for CT services is expected to grow from…

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A method to eliminate beam hardening artifacts and to improve CT quantitative imaging ability

A method to eliminate beam hardening artifacts and to improve CT quantitative imaging ability

Unmet Need For many commercially available CT scanners, the photons emitted from the X-ray source spread within a wide and continuous distribution of energy spectrum. As the poly-energetic X-ray beam passes through matter like tissue,…

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Performing tissue discrimination for cancer diagnostics using X-ray diffraction imaging

Performing tissue discrimination for cancer diagnostics using X-ray diffraction imaging

Value Proposition Cancer diagnosis is a multi-step process involving a variety of specialties. Radiologists use macroscopic imaging systems to determine where to look for potential cancer, while pathologists use microscopic imaging to confirm cancer at…

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Coded aperture X-ray scatter imaging

Coded aperture X-ray scatter imaging

Value Proposition The ability to non-invasively image the molecular composition of an object is desirable in a number of application areas such as medical imaging, security, structural integrity verification, and homeland defense. While x-ray imaging…

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