Imaging system and methods of high resolution Cherenkov dose images

    公开(公告)号:US12196894B2

    公开(公告)日:2025-01-14

    申请号:US17796488

    申请日:2021-01-29

    Abstract: A Cherenkov imaging system includes a high-speed radiation detector configured to provide a first timing signal synchronized with pulses of radiation to control operation of at least one pulse-gated, multiple-pulse-integrating, (PG-MPI) CMOS camera synchronized through the digital time signal to pulses of the radiation beam source, to image Cherenkov radiation; and a digital image-processing system. The high-speed radiation detector is either a solid-state radiation detector or a scintillator with a photodetector. The system images Cherenkov light emitted by tissue by using a timing signal synchronized to pulses of a pulsed radiation beam to control the PG-MPI camera by integrating light received by the PG-MPI camera during multiple pulses of the radiation beam while excluding light received by the camera between pulses of the radiation beam.

    Specimen imaging with x-ray and optical measurement

    公开(公告)号:US11633145B2

    公开(公告)日:2023-04-25

    申请号:US17076788

    申请日:2020-10-21

    Abstract: A surgical specimen imaging system includes a micro-X-ray computed tomography (CT) unit for CT imaging of the specimen and a structured light imaging (SLI) unit for optical imaging at multiple wavelengths, multiple phase offsets, and multiple structured-light pattern periods including unstructured light. The system's image processing unit receives CT and optical images and is configured by firmware in memory to co-register the images and process the optical images to determine texture at multiple subimages of the optical images, determined textures forming a texture map. The texture map is processed by a machine-learning-based classifier to determine a tissue type map of the specimen, and the tissue type map is processed with the CT images to give a 3D tissue-type map. In embodiments, the firmware extracts optical properties including scattering and absorption at multiple wavelengths and the classifier also uses these properties in generating the tissue type map.

    Systems and methods for FLASH therapy

    公开(公告)号:US12036421B2

    公开(公告)日:2024-07-16

    申请号:US18563813

    申请日:2022-05-25

    Abstract: A system for delivering ultra-high dose rate irradiation to a target area of a patient, includes a pulsed charged-particle source along a beam axis; a collimator for shaping the beam of radiation; one or more cameras for imaging the target area of the patient; and a dosimetry controller for providing control signals to the charged-particle source one or more dosimeters positioned between an output of the charged-particle source and the collimator in beam fringes for measuring a radiation dosage provided by each pulse; and a beam scanning coil positioned between the collimator and the patient for directing the shaped beam. The dosimetry controller receives feedback from the one or more dosimeters and provides control signals to the particle source and the beam scanning coil that modulate final pulses in the series of pulses in real-time.

    SPECIMEN IMAGING WITH X-RAY AND OPTICAL MEASUREMENT

    公开(公告)号:US20210113146A1

    公开(公告)日:2021-04-22

    申请号:US17076788

    申请日:2020-10-21

    Abstract: A surgical specimen imaging system includes a micro-X-ray computed tomography (CT) unit for CT imaging of the specimen and a structured light imaging (SLI) unit for optical imaging at multiple wavelengths, multiple phase offsets, and multiple structured-light pattern periods including unstructured light. The system's image processing unit receives CT and optical images and is configured by firmware in memory to co-register the images and process the optical images to determine texture at multiple subimages of the optical images, determined textures forming a texture map. The texture map is processed by a machine-learning-based classifier to determine a tissue type map of the specimen, and the tissue type map is processed with the CT images to give a 3D tissue-type map. In embodiments, the firmware extracts optical properties including scattering and absorption at multiple wavelengths and the classifier also uses these properties in generating the tissue type map.

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