Reflexion Medical, Inc.

Yevgen Voronenko

Peter D Olcott

Rostem Bassalow

Debashish Pal

Michael Kirk Owens

Christopher Eric Brown

Ayan Mitra

David Q Larkin

Jayakrishnan Janardhanan

Samuel Mazin

Brent Harper

George Andrew Zdasiuk

Daniel O'Connor

David Quentin Larkin

Peter Demetri Olcott

This application relates to methods for delivering radiation to a positron-emitting target within a subject under continuous PET guidance. Instead of directing radiation at a collinear path along each detected positron line-of-response (LOR), the methods generally include detecting a pattern of LORs that intersect the target. In response to the pattern, radiation may be delivered along paths that are not necessarily collinear to any of the LORs. Methods for further modifying radiation delivery as well as the detected LOR population are also described.

Methods for radiation delivery in emission-guided radiotherapy

Systems and methods for shuttle mode radiation delivery are described herein. One method for radiation delivery comprises moving the patient platform through the patient treatment region multiple times during a treatment session. This may be referred to as patient platform or couch shuttling (i.e., couch shuttle mode). Another method for radiation delivery comprises moving the therapeutic radiation source jaw across a range of positions during a treatment session. The jaw may move across the same range of positions multiple times during a treatment session. This may be referred to as jaw shuttling (i.e., jaw shuttle mode). Some methods combine couch shuttle mode and jaw shuttle mode. Methods of dynamic or pipelined normalization are also described.

Systems and methods for shuttle mode radiation delivery

Disclosed herein are methods for radiotherapy treatment planning and delivery that use sensor data from one or more target sensors. One variation of a radiotherapy treatment planning method comprises generating a sensor characterization image based on a sensor characterization probability density function (PDF) of a target sensor and calculating a set of firing filters that may be applied to sensor images generated from sensor data acquired during a radiation-delivery session. Additionally, a variation of a radiotherapy treatment planning method comprises generating multiple sensor characterization images based on multiple sensor characterization PDF of multiple target sensors and calculating multiple sets of firing filters for each of the multiple target sensors. The firing filters may be used with sensor images generated from target sensor data acquired from one or more target sensors during a radiation-delivery session to calculate a radiation fluence for delivering therapeutic radiation to a target region.

Multi-sensor guided radiation therapy

Described herein are methods for beam station delivery of radiation treatment, where the patient platform is moved to a series of discrete patient platform locations or beam stations that are determined during treatment planning, stopped at each of these locations while the radiation source rotates about the patient delivering radiation to the target regions that intersect the radiation beam path, and then moving to the next location after the prescribed dose of radiation (e.g., in accordance with a calculated fluence map) for that location has been delivered to the patient.

Beam station treatment planning and radiation delivery methods

Disclosed herein are systems and methods for adapting and/or updating radiotherapy treatment plans based on biological and/or physiological data and/or anatomical data extracted or calculated from imaging data acquired in real-time (e.g., during a treatment session). Functional imaging data acquired at the time of radiation treatment is used to modify a treatment plan and/or dose delivery instructions to provide a prescribed dose distribution to patient target regions. Also disclosed herein are methods for evaluating treatment plans based on imaging data acquired in real-time.

Systems and methods for biological adaptive radiotherapy

Disclosed herein are methods for patient setup and patient target region localization for the irradiation of multiple patient target regions in a single treatment session. Virtual localization is a method that can be used to register a patient target region without requiring that the patient is physically moved using the patient platform. Instead, the planned fluence is updated to reflect the current location of the patient target region by selecting a localization reference in the localization image, calculating a localization function based on the localization reference point, and calculating the delivery fluence by convolving the localization function with a shift-invariant firing filter. Mosaic multi-target localization partitions a planned fluence map for multiple patient target regions into sub-regions that can be individually localized. De-coupled multi-target localization involves generating a separate planned fluence map for each target but constraining a cumulative fluence map to ensure dosimetric goals are met.

Multi-target treatment planning and delivery and virtual localization for radiation therapy

Disclosed herein are systems and methods for guiding the delivery of therapeutic radiation using incomplete or partial images acquired during a treatment session. A partial image does not have enough information to determine the location of a target region due to, for example, poor or low contrast and/or low SNR. The radiation fluence calculation methods described herein do not require knowledge or calculation of the target location, and yet may help to provide real-time image guided radiation therapy using arbitrarily low SNR images.

Methods for real-time image guided radiation therapy

Described herein are methods for fluence map generation or fluence map optimization (FMO) for radiation therapy. One variation of a method for generating a fluence map comprises smoothing out nondifferentiable penalty functions and using an accelerated proximal gradient method (e.g., FISTA) to compute a fluence map that may be used by a radiotherapy system to apply a selected dose of radiation to one or more regions of interest (ROI) or volumes of interest (VOI).

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Sunnyvale, CA, United States of America

Yevgen Voronenko