Dartmouth College

Doseoptics LLC

Cairnsurgical, Inc.

Venkataramanan Krishnaswamy

Brian William Pogue

Keith Douglas Paulsen

Richard J Barth, Jr

Petr Bruza

Jonathan T Elliott

David M McClatchy, Iii

Robert F Rioux

George Bourne

Michael Jermyn

David Danielsen

Stephen Chad Kanick

David Joseph Gladstone

Lesley A Jarvis

Irwin Tendler

Richard J Barth

A patient-specific device for guiding resection of a tumor located in local tissue of a patient includes a locator form and a surgical guidance cue. The locator form has a locator-form surface matching a surface of the local tissue of the patient near the tumor's location when the local tissue is imaged in a preoperative position, such that the locator form, when fit to the surface of the local tissue, restores the local tissue to the preoperative position. The surgical guidance cue is integrally formed with the locator form and based on images including only preoperative images of the local tissue in the preoperative position, to indicate a spatial property of the tumor in the preoperative position.

Systems and methods for guiding tissue resection

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

A method for guiding resection of local tissue from a patient includes generating at least one image of the patient, automatically determining a plurality of surgical guidance cues indicating three-dimensional spatial properties associated with the local tissue, and generating a visualization of the surgical guidance cues relative to the surface. A system for generating surgical guidance cues for resection of a local tissue from a patient includes a location module for processing at least one image of the patient to determine three-dimensional spatial properties of the local tissue, and a surgical cue generator for generating the surgical guidance cues based upon the three-dimensional spatial properties. A patient-specific locator form for guiding resection of local tissue from a patient includes a locator form surface matching surface of the patient, and a plurality of features indicating a plurality of surgical guidance cues, respectively.

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 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

The present disclosure includes customized guidance devices in the form of guidance templates configured to fit over a given area of a patient's body and provide guidance during a tissue treatment or tissue removal procedure of that given area, which may include administration of an agent to a target tissue, target tissue biopsy, target tissue resection, or target tissue ablation. The customized guidance templates are generally constructed via an additive manufacturing process (i.e., three-dimensional (3D) printing) or subtractive manufacturing process (i.e., milling) based on a fabrication instruction file, which may include imaging data of the given area of the patient's body in which targeted tissue treatment is to be performed. The fabrication instruction file may further include additional data, such as the type of procedure to be performed (i.e., biopsy of the tissue abnormality, destruction or resection of the tissue abnormality, etc.).

Devices for guiding tissue treatment and/or tissue removal procedures

A Cherenkov-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 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 radiation detection.

Imaging system and methods of high resolution Cherenkov dose images utilizing radio-optical triggering

A structured-light imaging system includes a structured light projector for illuminating a surface and an electronic camera configured to image the surface. An image processor receives the images and has structured light scatteroscopy (SLS) firmware with machine readable instructions that illuminate the surface with structured light having a spatial frequency of at least 0.5 mm&#x2033;1, and process the images to determine a map of scattering parameters at the surface independent of absorption properties. In an embodiment, the system also has cameras configured to obtain a stereo pair of images of the surface, the image processor having 3D firmware for extracting a three dimensional model of the surface from the stereo pair of images and compensating the map for non-flat surfaces.

Growing community of inventors

Lebanon, NH, United States of America

Venkataramanan Krishnaswamy