General Electric Company

Ge Medical Systems Global Technology Company, LLC

Accuray Inc.

Edward Henry Chao

Jiang Hsieh

Brian Grekowicz

Thomas L Toth

Jean-Baptiste Thibault

Darin Robert Okerlund

Eric Schnarr

Bruce Matthew Dunham

Mark Edward Woodford

Scott McOlash

Rajendra Kurady

Daniel Gagnon

Calvin R Maurer

Petr Jordan

Charles William Stearns

Abdelaziz Ikhlef

Fang Frank Dong

Jacob D Shea

Thomas John Myers

Jian Ying Li

Ariel Friedlander

Dylan Casey

Albert Henry Roger Lonn

Eric Matthew Plate

Michael Ronald Miller

Tanvi Kachhy

Maryam Shaukat Hameed

Amy Lynn Horst

Wolfgang Just

Tara Janon Mahan

A radiation delivery system includes a radiation source to generate a radiation beam to deliver to a target and a multi-leaf collimator (MLC) operatively coupled to the radiation source, wherein the MLC is offset to shift the MLC in a direction relative to a line from the radiation source to a point of interest to cause projections of the radiation beam to be shifted based on the offset.

Utilizing an offset multi-leaf collimator to improve dose conformality and homogeneity

A radiotherapy delivery device is provided. The device includes a source of therapeutic radiation and a first detector positioned to receive radiation from the source of therapeutic radiation. The device also includes a source of imaging radiation and a second detector positioned to receive radiation from the source of imaging radiation. A collimator assembly is positioned relative to the second source of radiation to selectively control a shape of a radiation beam emitted by the second radiation source to selectively expose part or the whole of the second radiation detector. A reconstruction processor can be operatively coupled to the detector and configured to generate patient images based on radiation received by the second detector from the second source of radiation. The device is configured to move from one imaging geometry to another using all or part of the second detector.

Integrated helical fan-beam computed tomography in image-guided radiation treatment device

A multi-sector back-off logic algorithm for obtaining optimal slice-sensitive computed tomography ('CT') profiles. The systems and methods of the present invention improving the temporal resolution of a CT system by checking for Z location errors between sectors and automatically backing-off to an alternative multi-sector algorithm when necessary (i.e., selecting an optimized maximum number of sectors to reconstruct), providing less Z location error. Based upon this Z location error, the systems and methods of the present invention also calculating the maximum number of sectors that should be used for reconstruction 'on-the-fly' (i.e., on a per image basis across an entire series of images). These systems and methods utilizing the Recommended Protocol for Cardiac Reconstruction Algorithms.

Multi-sector back-off logic algorithm for obtaining optimal slice-sensitive computed tomography profiles

A method for measuring an alignment of a detector is described. The method includes determining, by a processor, the alignment of the detector with respect to a collimated radiation beam. The determination of the alignment is based on a plurality of signals from a first cell of the detector and a second cell of the detector, and is independent of a shape of the collimated radiation beam.

Method and system for measuring an alignment of a detector

A method for determining tracking control parameters for positioning an x-ray beam of a computed tomography imaging system, the imaging system including a movable collimator positionable in steps and a detector array including a plurality of detector elements arranged in rows and channels, the rows extending from a detector A-side to a detector B-side. The method includes determining a detector A-side and a detector B-side target beam penumbra position, computing a plurality of Z-ratio curves corresponding to different detector rows and detector channels, and comparing the Z-ratio curves at the detector A-side and detector B-side target beam positions to determine the optimal Z-ratio curve and corresponding detector channels and rows for controlling the X-ray beam positioning.

Methods and apparatus for calibrating CT x-ray beam tracking loop

A method includes calculating a sum of all samples at each projection view of a scan of an object, determining a maximum value of the calculated sums, averaging a plurality of samples m at a projection view index k when the sum of all samples at index k is less than a predetermined percentage of the maximum value, comparing the average to a threshold t, determining the projection truncated when the average is greater than t, and determining the projection not truncated when the average is not greater than t.

Methods and apparatus for truncation compensation

A method for measuring focal spot shape of a radiation beam from a radiation source includes collimating the radiation beam using a collimator having a well-defined edge, measuring an intensity profile of the collimated radiation beam, determining a function of the measured intensity profile, and determining a metric of the of the focal spot using the determined function of the measured intensity profile.

Method and apparatus for measuring effective focal spot parameters of an X-ray source

A method for measuring table sag of a table may include utilizing images of an unloaded table and a loaded table, plotting pixel values for a range of pixels for each image within a particular column, identifying a pixel within each plot that has a highest pixel value, calculating a difference between the identified pixel row numbers, and converting the difference into a measurement of table sag. A storage medium encoded with machine-readable computer program code for measuring table sag of a table may include instructions for causing a computer to implement the method. A computer for use in an imaging system may utilize digital images for the measurement of table sag and an imaging system may include such a computer.

Method and system for measuring table sag

Methods and systems for calibrating a Computed Tomography (CT) system are provided. The method includes performing a CT scan of an object having a substantially flat surface using the CT system. The method further includes determining an offset angle for the CT system based on an image of the substantially flat surface of the scanned object.

Method and system for calibrating a computed tomography system

A method for performing reference normalization for an image created by an imaging system. The imaging system includes a radiation detector array with a right and left edge. The method includes receiving a projection dataset created by the imaging system in response to a varying x-ray tube current. The projection dataset includes a view and predicted fluxes are calculated for the set of reference channels within the view. A right set of reference channels are located proximate at the right edge of the detector array and a left set of reference channels are located proximate to the left edge of the detector array. The method also includes calculating average actual fluxes for the sets of reference channels. Based on the predicted reference fluxes and the average fluxes, a reference correction value for the view is determined. The correction value is applied for the reference correction of the view.

Method, system and storage medium for reference normalization for blocked reference channels

Some configurations of the present invention provide a method for reconstructing an image of an object of a computed tomographic imaging system having a detector array and a radiation source, wherein an arc of the detector array is not concentric to a focal spot of the radiation source. The method includes scanning the object with the computed tomographic imaging system to obtain a fan beam dataset, rebinning the fan beam dataset into a set of parallel datasets; and reconstructing an image utilizing the set of parallel datasets.

Methods and apparatus for artifact reduction in computed tomography imaging systems

A method includes scanning an object in a first modality having a first field of view to obtain first modality data including fully sampled field of view data and partially sampled field of view data. The method also includes scanning the object in a second modality having a second field of view larger than the first field of view of obtain second modality data, and reconstructing an image of the object using the second modality data and the first modality partially sampled field of view data.

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Oconomowoc, WI, United States of America

Edward Henry Chao