Dartmouth College

Doseoptics LLC

Other

Aurora Optics, Inc.

Brian William Pogue

Keith Douglas Paulsen

Venkataramanan Krishnaswamy

Petr Bruza

Scott Christian Davis

Kenneth M Tichauer

David W Roberts

Frederic Leblond

Shudong Jiang

David Joseph Gladstone

Jonathan T Elliott

Pablo A Valdes

Rongxiao Zhang

Lesley A Jarvis

Robert W Holt

David M McClatchy, Iii

Daqing Piao

Michael Jermyn

Adam Kenneth Glaser

Stephen Chad Kanick

Hamid Dehghani

Gregory C Burke

Alex Hartov

Dax Kepshire

Johan Axelsson

Samuel Streeter

Johan Jakob Axelsoon

Irwin Tendler

Benjamin Maloney

Rachael Hachadorian

Ida Leah Gitajn

David J Gladstone

Colin Morehouse Carpenter

Megan Clark

Roman Vasyltsiv

Phaneendra K Yalavarthy

Ethan P M Larochelle

Alberto J Ruiz

Ramish Ashraf

Jacqueline M Andreozzi

Jia Wang

Heng Xu

Connor Pogue

Roger Springett

Subhadra Srinivasan

Ethan Phillip M Larochelle

While clinical treatment of actinic keratosis by photodynamic therapy (PDT) is widely practiced, there is well-known variability in response, primarily caused by heterogeneous accumulation and PDT-induced photobleaching of the photosensitizer protoporphyrin IX (PpIX) between patients and between lesions. One of the key factors in regularizing this treatment would be to have an easily accessible indicator of PpIX present in the lesions at the time of light delivery. Described herein, a smartphone-based fluorescence imager was developed to allow simple quantitative photography of the lesions and their PpIX levels.

System and method for quantitative dosimetry of photodynamic therapy in skin

A method of generating corrected fluorescence data of concentrations of a targeted fluorophore in tissue of a subject includes administering first and second fluorescent contrast agents to the subject, the first contrast agent targeted to tissue of interest, the second agent untargeted. The tissue is illuminated with light of a first stimulus wavelength and first data is acquired at an appropriate emissions wavelength; the tissue is illuminated at a second stimulus wavelength and second data is acquired at a second emissions wavelength associated with the second agent, the first and second emissions wavelength differ. Difference data is generated by subtracting the second data from the first data. A system provides for stimulus and capture at multiple wavelengths, with image storage memory and subtraction code, to perform the method. Corrected data may form an fluorescence image, or is used to generate fluorescence tomographic images.

Method and apparatus for medical imaging using differencing of multiple fluorophores

An ORIF implant has an electronics module with a stimulus light and optical sensors for sensing fluorescent emissions coupled to a near-field digital radio. The implant is used with a near-field radio to receive a sequence of fluorescent emissions readings from the implant into a processor that fits the sequence of readings to a bone-specific kinetic model that is a superposition of a plug flow model of periosteal perfusion and a two-compartment model of endosteal perfusion of perfusion of bone. A system for use during ORIF surgery has an injector for fluorescent dye, a camera to send a sequence of images of fluorescent emissions from fluorescent dye in a bone of a subject to an image processor when the bone is illuminated with a stimulus light, the processor configured to fit the sequence of images to a model of perfusion of bone.

Method and apparatus to measure bone hemodynamics and discriminate healthy from diseased bone, and open reduction internal fixation implant with integrated optical sensors

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.

Imaging system and methods of high resolution Cherenkov dose images

An apparatus and method for medical imaging uses a first and second contrast agent, the second agent targeted to a particular tissue type. First images are obtained using the first agent, and second images using the second agent using medical imaging systems. An image processing system is adapted to process the first and second medical images by fitting parameters of a pharmacokinetic model to the first medical images, identifying a nontargeted tissue type, scaling the fitted parameters to best match the nontargeted tissue in the second medical images, executing the pharmacokinetic model to prepare a correction image, and generating corrected medical images by subtracting the correction image from the second medical images.

Methods for quantitative and enhanced-contrast molecular medical imaging using cross-modality correction for differing tracer kinetics

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.

Systems and methods for FLASH therapy

A system for monitoring radiation treatment images Cherenkov emissions from tissue of a subject. A processor of the system determines densities of a surface layer of the subject from 3D images of the tissue to determine correction factors. The processor uses these factors to correct the Cherenkov images for attenuation of Cherenkov light by tissue, making them proportional to radiation dose. In embodiments, the system obtains reflectance images of the subject, determines second correction factors therefrom, and applies the second correction factors to the Cherenkov emissions images. In embodiments, the corrected images of Cherenkov emissions are compared to dose maps of a treatment plan. A method of correcting Cherenkov emissions images includes determining tissue characteristics from CT or MRI images in a surface volume where Cherenkov is expected, using; imaging Cherenkov emissions; and using the tissue characteristics to correct the images for variations in Cherenkov light propagation through the tissue.

X-ray CT-or MRI-based quantitative correction of Cherenkov light emission in radiation dose imaging

The present invention relates to advanced Cherenkov-based imaging systems, tools, and methods of feedback control, temporal control sequence image capture, and quantification in high resolution dose images. In particular, the present invention provides a system and method for simple, accurate, quick, robust, real-time, water-equivalent characterization of beams from LINACs and other systems producing external-therapy radiation for purposes including optimization, commissioning, routine quality auditing, R&D, and manufacture. The present invention also provides a system and method for rapid and economic characterization of complex radiation treatment plans prior to patient exposure. Further, the present invention also provides a system and method of economically detecting Cherenkov radiation emitted by tissue and other media in real-world clinical settings (e.g., settings illuminated by visible light).

Advanced cherenkov-based imaging systems, tools, and methods of feedback control, temporal control sequence image capture, and quantification in high resolution dose images

A system and method for depth-resolved imaging of fluorophore concentrations in tissue uses a pulsed light source stimulus wavelength to illuminate the tissue; and a time-gated electronic camera such as a single-photon avalanche detector camera to observe the tissue in multiple time windows after start of each light pulse. A filter-changer or tunable filter is between the tissue and the electronic camera with fluorescent imaging settings and a stimulus wavelength setting, and an image processor receives reflectance images and fluorescent emissions images from the time-gated camera and processes these images into depth and quantity resolved images of fluorophore concentrations in the tissue.

Optical time-of-flight imaging methods and systems for surgical guidance and fluorescence depth estimation in tissue

A method for determining sub-diffuse scattering parameters of a material includes illuminating the material with structured light and imaging remission by the material of the structured light. The method further includes determining, from captured remission images, sub-diffuse scattering parameters of the material. A structured-light imaging system for determining sub-diffuse scattering parameters of a material includes a structured-light illuminator, for illuminating the material with structured light of periodic spatial structure, and a camera for capturing images of the remission of the structured light by the material. The structured-light imaging system further includes an analysis module for processing the images to quantitatively determine the sub-diffuse scattering parameters. A software product includes machine-readable instructions for analyzing images of remission of structured light by a material to determine sub-diffuse scattering parameters of the material.

Structured-light imaging systems and methods for determining sub-diffuse scattering parameters

A Cherenkov-based or thin-sheet scintillator-based imaging system uses a radio-optical triggering unit (RTU) that detects scattered radiation in a fast-response scintillator to detect pulses of radiation to permit capture of Cherenkov-light or scintillator-light images during pulses of radiation and background images at times when pulses of radiation are not present without need for electrical interface to the accelerator that provides the pulses of radiation. The Cherenkov images are corrected by background subtraction and used for purposes including optimization of treatment, commissioning, routine quality auditing, R&D, and manufacture. The radio-optical triggering unit employs high-speed, highly sensitive radio-optical sensing to generate a digital timing signal which is synchronous with the treatment beam for use in triggering Cherenkov light or scintillator light imaging.

Dosimetry systems for radiation treatment using radiation-detector-triggered cameras to image Cherenkov emissions or thin-sheet scintillators

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.

Specimen imaging with x-ray and optical measurement

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Hanover, NH, United States of America

Brian William Pogue