Varian Medical Systems, Inc.

Varian Medical Systems Technologies, Inc.

Image Science Corporation

Mostafavi, Hassan

Hassan Mostafavi

Andrew G Jeung

Alexander Sloutsky

Majid L Riaziat

Larry D Partain

Stanley Mansfield

Robert M Sutherland

Edward J Seppi

Josh Star-Lack

Marcel R Marc

George A Zdasiuk

David H Humber

Stavros Prionas

Lisa Ann Hampton

Felix Fernando

Gary Fredric Virshup

John M Boone

Ross Bernald Hannibal

Raymond Denzil McIntyre

Sergey Povzner

Ivan Petrov Mollov

Daniel Morf

Arthur Charles Kwun

John Milan Pavkovich

John Van Heteren

Anthony Harrington

George Zentai

Raymond Kraft

Michelle Richmond

Graham R Faulknor

Dusan Baic

Peter Munro

Alyssa J Garver

Richard D Beer

Stephen Phillips

Dariush Rafinejad

Sun-Kai Lin

Jill Conrad

Tanya Dempsey

Jenny Kuhelj

Daniel R Bilsky

Alexander R Brown

Jon Carver

Hong Wan

A method of generating a template image includes: receiving an input from a user representing identifications of an object in different respective slices of a volumetric image; using the input to determine a volume-of-interest (VOI) that includes voxels in a subset of the volumetric image; and determining the template image using at least some of the voxels in the VOI, wherein the act of determining the template image comprises performing a forward projection of the at least some of the voxels in the VOI using a processor. An image processing method includes: obtaining a volumetric image; performing forward projection of voxels in the volumetric image from different positions onto a first plane using a processor; and summing projections on the first plane resulted from the forward projection from the different positions to create a first image slice in the first plane.

Template matching method for image-based detection and tracking of irregular shaped targets

A system for determining positional information of a camera, includes: a plane determination module configured to determine a first plane and a second plane based on a depth image; a plane-association module configured to associate the first plane determined by the plane determination module with a first tool-plane, and to associate the second plane determined by the plane determination module with a second tool-plane, the first and second tool-planes having known positional relationship with respect to each other; and a positional determination unit configured to determine the positional information of the camera based on an output from the plane-association module.

System and method for determining position and orientation of depth cameras

A method of monitoring a patient includes: obtaining an input image having a plurality of regions of interest by a processing unit; and determining a plurality of positions for the respective plurality of regions of interest by the processing unit; wherein the act of determining the plurality of positions comprises: accessing a plurality of templates; comparing the plurality of templates with respective areas in the input image using a comparator in the processing unit; and determining the plurality of positions based at least in part on a result of the act of comparing.

Systems and methods for patient position monitoring

A method of detecting a possible collision in a medical procedure, includes: obtaining a reference depth image; obtaining an input depth image; determining a composite image using at least a part of the reference depth image and at least a part of the input depth image, wherein the act of determining the composite image is performed using a processing unit; and determining whether there is a possible collision between an object and a patient based on the composite image.

Systems and methods for detecting a possible collision between an object and a patient in a medical procedure

Forward projection cylinder volume method

A method of monitoring a patient includes obtaining a first image of an object, obtaining a second image of the object, determining a level of similarity between the first and second images, obtaining a third image of the object, determining a level of similarity between the first and third images, analyzing a time series of values that includes the determined level of similarity between the first and second images and the determined level of similarity between the first and third images, and determining a state of the patient based at least on a result of the act of analyzing.

Systems and methods for determining a state of a patient

A method for generating one or more images includes collecting data samples representative of a motion of an object, acquiring image data of at least a part of the object over a time interval, synchronizing the data samples and the image data to a common time base, and generating one or more images based on the synchronized image data. A method for generating one or more images includes acquiring image data of at least a part of an object over a time interval, associating the image data with one or more phases of a motion cycle, and constructing one or more images using the image data that are associated with the respective one or more phases.

Method and system for radiation application

An apparatus for use in a medical procedure includes: a camera configured for attachment to a patient, wherein the camera is configured to detect one or more markers outside and away from the patient; and a processing unit configured to receive an input image from the camera, and to process the input image to monitor a position of a target associated with the patient during the medical procedure. An apparatus for use in a medical procedure includes: a camera configured for attachment to a patient support, wherein the camera is configured to detect one or more markers outside and away from the patient support; and a processing unit configured to receive an input image from the camera, and to process the input image to determine a position associated with the patient support during the medical procedure.

Patient-mounted or patient support-mounted camera for position monitoring during medical procedures

A method of monitoring an object during a medical process includes: using one or more cameras to obtain information regarding an actual three dimensional configuration of an object involved in a medical process; obtaining a three-dimensional model of the object representing a geometry of the object; obtaining a movement model of the object; and processing the information, the three-dimensional model, and the movement model to monitor the object during the medical process, wherein the act of processing is performed using a processing unit.

Camera systems and methods for use in one or more areas in a medical facility

The plan CT is described to generate dual energy (DRR) that stimulates the treatment time radiographs in order to prospectively evaluate the angles in which issues for the template matching algorithm are present, and thus the visibility of the tumor. The present invention uses template matching to quantify the 'trackability' of the target from different angles or directions. The peak-to-side lobe ratio is used to measure trackability. The results of this process influence treatment planning. For example, based on the outcome, either less or no dose is planned for the angles in which the location of the templates cannot be verified and thus, the tumor.

Prospective evaluation of tumor visibility for IGRT using templates generated from planning CT and contours

A radiation system includes a radiation source having an accelerator, the radiation source having a magnetic field associated therewith that is resulted from an operation of the accelerator, and a magnetic field source configured to provide a compensating magnetic field to at least partially counteract against the magnetic field that is resulted from the operation of the accelerator. A radiation system includes a radiation device having a radiation source, a patient support, and a protective guard located between the radiation source and the patient support, wherein the protective guard is moveably coupled to the radiation device or the patient support. A radiation system includes a particle generator for generating a particle, an accelerator for accelerating the particle, and a magnetic source for changing a trajectory of the particle, wherein the magnetic source comprises a permanent magnet.

System and methods for treating patients using radiation

A marker system includes: a first marker; and a second marker; wherein the first marker and the second marker are configured to emit light from one or more light sources coupled to the first marker and the second marker; and wherein the first marker and the second marker are configured to emit the light for detection by a camera. A method performed using a marker system includes: generating light using one or more light sources; emitting the light at a plurality of markers that are coupled to the light sources; and detecting the light emitted from the plurality of markers using a camera; wherein the act of detecting comprises using one or more filters to reduce ambient light to a level that corresponds with a noise level of the camera while allowing light emitted from the markers to be imaged by the camera.

Marker system with light source

A method of detecting a possible collision in a medical procedure that involves a medical system, includes: obtaining an image of a patient that is supported on a patient support; determining a first model using a processing unit based at least in part on the image, at least a part of the first model representing a surface of the patient; determining a second model using the processing unit, the second model representing a first component of the medical system; virtually moving the first model, the second model, or both, using a collision prediction mechanism to simulate a movement of the first component of the medical system to determine whether there is a possible collision between the first component and the patient; and generating an output to indicate the possible collision or an absence of the possible collision.

System and method for collision avoidance in medical systems

A method of detecting camera defect includes: obtaining an image by a processing unit, the processing unit having a surface fit module, a subtraction module, and a peak quantification module; determining a first autocorrelation map for a first sub-region in the image; determining, using the surface fit module, a first surface fit for first scene content in the first sub-region; subtracting, using the subtraction module, the first surface fit from the first autocorrelation map for the first sub-region in the image to obtain a first residual map; and quantifying, using the peak quantification module, a first noise in the first residual map.

Systems and methods for detecting camera defect caused by exposure to radiation

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Los Altos, CA, United States of America

Hassan Mostafavi