Abstract: A method comprises providing a pre-treatment image of a target subject to at least one deep learning model uniquely trained to predict immunotherapy treatment responses. The method further comprises generating, by a processing device, a predicted treatment response score to a treatment based on the single pre-treatment image and the at least one deep learning model. The method further comprises providing, based on the predicted treatment response score, a recommended treatment plan.

Abstract: A phantom is described. The phantom having a spherical phantom body and an X-ray luminescent material, wherein at least a portion of the X-ray luminescent material is on a surface of the phantom.

Abstract: A method of image-guided radiation treatment is described. The method may include acquiring a pre-treatment image of a patient and generating a first set of image data of part or all of the patient using imaging radiation at a first energy level and a second set of image data of part or all of the patient using imaging radiation at a second energy level. The method may also include processing the first and second sets of image data to generate an enhanced image, wherein the enhanced image comprises a combination of the first and second sets of image data, and wherein part or all of the image data comprises the target. The method may also include registering the enhanced image with the pre-treatment image to obtain a registration result and tracking movement and position of the target using the registration result to generate tracking information.

Abstract: A method of generating an image synthesis process is disclosed, where the image synthesis process improves image quality of degraded volumetric images. In the method, a machine learning process is trained in a supervised learning framework as the image synthesis process. In the supervised learning process, a lower-quality partial-data reconstruction of a target volume is employed as an input object in the supervised learning process and a higher-quality full data reconstruction of the target volume is employed as an expected output. The full data reconstruction is generated based on a first set of projection images of the three-dimensional volume and the partial-data reconstruction is generated based on a second set of projection images of the three-dimensional volume, where the second set of projection images includes projection images that have less image information and/or are of a lower image quality than the first set of projection images.

Abstract: A method of and apparatus for operating a radiation treatment delivery system. The method includes generating, by a processing device, a set of instructions for a volumetric imager based on a set of directionalities for a radiation beam of a linear accelerator (LINAC) to avoid a collision between the volumetric imager and the LINAC, wherein the set of instructions comprises physical locations of the volumetric imager and timing values corresponding to the physical locations. The method further includes operating the volumetric imager during the radiation treatment delivery according to the set of instructions.

Abstract: A method of image-guided radiation treatment is described. The method may include acquiring a pre-treatment image of a patient and generating a first set of image data of part or all of the patient using imaging radiation at a first energy level and a second set of image data of part or all of the patient using imaging radiation at a second energy level. The method may also include processing the first and second sets of image data to generate an enhanced image, wherein the enhanced image comprises a combination of the first and second sets of image data, and wherein part or all of the image data comprises the target. The method may also include registering the enhanced image with the pre-treatment image to obtain a registration result and tracking movement and position of the target using the registration result to generate tracking information.

Abstract: A method of operating a radiation apparatus is described that selects at least a first angle and a second angle from the set of angles for a first rotation of the gantry. The method generates, using an imaging device mounted to the gantry, a first tracking image of the target from the first angle during the first rotation of the gantry. The method generates, using the imaging device, a second tracking image of the target from the second angle during the first rotation of the gantry. The method performs targeting tracking based on the first tracking image and the second tracking image.

Abstract: Example methods and systems for quality-aware continuous learning for radiotherapy treatment planning are provided. One example method may comprise: obtaining an artificial intelligence (AI) engine that is trained to perform a radiotherapy treatment planning task. The method may also comprise: based on input data associated with a patient, performing the radiotherapy treatment planning task using the AI engine to generate output data associated with the patient; and obtaining modified output data that includes one or more modifications made by a treatment planner to the output data. The method may further comprise: performing quality evaluation based on (a) first quality indicator data associated with the modified output data, and/or (b) second quality indicator data associated with the treatment planner. In response to a decision to accept, a modified AI engine may be generated by re-training the AI engine based on the modified output data.

Abstract: A method includes determining a first set of positions for a volumetric imager and determining a second set of positions for a linear accelerator (LINAC), during radiation treatment delivery. The method further includes determining a set of radiation beam directionalities of the LINAC, wherein for each of the second set of positions for the LINAC a radiation beam corresponds to a radiation beam directionality. The method further includes generating instructions for the volumetric imager based on the first and the second set of positions, the radiation beam directionalities, and a treatment time constraint to avoid a collision between the volumetric imager and the LINAC and between the volumetric imager and the radiation beam, wherein the instructions include physical locations of the volumetric imager and timing values corresponding to the physical locations. The method further includes operating the volumetric imager during the radiation treatment delivery according to the set of instructions.

Abstract: A method includes receiving, from a volumetric imager, a first image including a target of a patient. The method further includes receiving a second image including the target of the patient. The method further includes tracking, by a processing device, a position of the target using the first image and the second image by maintaining a fixed alignment between a treatment beam of a linear accelerator (LINAC) and a source and detector pair of the volumetric imager during operation of the LINAC.

Abstract: A method of image-guided radiation treatment is described. The method may include acquiring digitally reconstructed radiographs (DRRs) of a patient and generating a first set of image data of part or all of the patient using imaging radiation at a first energy level and a second set of image data of part or all of the patient using imaging radiation at a second energy level. The method may also include processing the first and second sets of image data to generate an enhanced image, wherein the enhanced image comprises a combination of the first and second sets of image data, and wherein part or all of the image data comprises the target. The method may also include registering the enhanced image with the DRRs to obtain a registration result, tracking movement and position of the target using the registration result to generating tracking information.

Abstract: A reference image of a patient may be generated. A subsequent x-ray image of the patient may be generated after the generating of the reference image where the subsequent x-ray image is associated with a low dosage. A difference between the reference image and the subsequent x-ray image that is associated with the low dosage may be determined. A motion of the patient may be identified as having occurred based on the determined difference.

Abstract: A radiation therapy apparatus determines a set of angles that have a tracking quality metric value that satisfies a tracking quality metric criterion. During an alignment phase or a treatment phase for a treatment stage of a target by the radiation therapy apparatus, the radiation therapy apparatus performs selects at least a first angle and a second angle from the set of angles for a first rotation of the gantry. The radiation therapy apparatus generates, using an imaging device mounted to the gantry, a first tracking image of the target from the first angle during the first rotation of the gantry. The radiation therapy apparatus generates, using the imaging device, a second tracking image of the target from the second angle during the first rotation of the gantry. The radiation therapy apparatus performs the target tracking based on the first tracking image and the second tracking image.

Abstract: Systems and methods for tracking a target volume, e.g., tumor, in real-time during radiation treatment are provided. The system includes a memory to store a pre-acquired 3D image of the anatomy of interest in a first reference frame and a processor, operative coupled with the memory, to receive, from an ultrasound probe, a set-up ultrasound image of the anatomy of interest in a second reference frame. The processor further to establish a transformation between the first and second reference frames by registering the set-up ultrasound image with the pre-acquired 3D image and receive, from the ultrasound probe, an intrafraction ultrasound image of the anatomy of interest. The processor further to register the intrafraction ultrasound image with the set-up ultrasound image and track motion of the anatomy of interest based on the registered intrafraction ultrasound image.

Abstract: A method of the present disclosure includes performing, by a processing device, a first image registration between a reference image of a patient and a motion image of the patient to perform alignment between the reference image and the motion image, wherein the reference image and the motion image include a target position of the patient. The method further includes performing, by the processing device, a second image registration between the reference image and a motion x-ray image of the patient, via a first digitally reconstructed radiograph (DRR) for the reference image of the patient. The method further includes tracking at least a translational change in the target position based on the first registration and the second registration.

Abstract: A method includes determining a first estimate of leaf positions for a plurality of leaves of a multi-leaf collimator (MLC) in a reference coordinate space based on an image generated by an image-based aperture verification system, wherein the leaf positions for the plurality of leaves define an aperture for the MLC. The method further includes determining a second estimate of the leaf positions for the plurality of leaves in the reference coordinate space based on data from an additional source. The method further includes verifying the leaf positions for the plurality of leaves based on comparing the first estimate to the second estimate, wherein the leaf positions are verified if the first estimate deviates from the second estimate by less than a threshold value.

Abstract: A method includes receiving, from a volumetric imager, a first image including a target of a patient. The method further includes receiving a second image including the target of the patient. The method further includes tracking, by a processing device, a position of the target using the first image and the second image.

Abstract: A method of the present disclosure includes performing, by a processing device, a first image registration between a reference image of a patient and a motion image of the patient to perform alignment between the reference image and the motion image, wherein the reference image and the motion image include a target position of the patient. The method further includes performing, by the processing device, a second image registration between the reference image and a motion x-ray image of the patient, via a first digitally reconstructed radiograph (DRR) for the reference image of the patient. The method further includes tracking at least a translational change in the target position based on the first registration and the second registration.

Abstract: Systems and methods for tracking a target volume, e.g., tumor, in real-time during radiation treatment are provided. Under one aspect, a system includes an ultrasound probe, an x-ray imager, a processor, and a computer-readable medium that stores a 3D image of the tumor in a first reference frame and instructions for causing the processor to: instruct the x-ray imager and ultrasound probe to substantially simultaneously obtain inherently registered x-ray and set-up ultrasound images of the tumor in a second reference frame; establish a transformation between the first and second reference frames by registering the 3D image and the x-ray image; instruct the ultrasound probe to obtain an intrafraction ultrasound image of the tumor; registering the intrafraction ultrasound image with the set-up ultrasound image; and track target volume motion based on the registered intrafraction ultrasound image.

Abstract: A phantom, calibration system and calibration method are described. The phantom having a phantom body and an X-ray luminescent material, wherein at least a portion of the X-ray luminescent material is on a surface of the phantom.