# US 11,443,842 B2 · Automatic determination of radiation beam configurations for patient-specific radiation therapy planning

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- Number: US 11,443,842 B2
- Document ID: US11443842B2
- Status: Granted
- Kind: B2
- Application number: 16/720,184
- Filed: 2019-12-19
- Published: 2020-04-23
- Granted: 2022-09-13
- Earliest claimed: 2015-03-06
- Assignees: Duke University; The University of North Carolina at Charlotte
- Applicants: Duke University; The University of North Carolina at Charlotte
- Inventors: Qingrong Jackie Wu; Yaorong Ge; Fang-Fang Yin; Lulin Yuan
- Web page: https://patentgrep.com/patent/US11443842B2

## CPC

- G16H 20/40: relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
- A61N 5/103: {Treatment planning systems}
- A61N 5/1031: {using a specific method of dose optimization}
- A61N 5/1038: {taking into account previously administered plans applied to the same patient, i.e. adaptive radiotherapy}
- A61N 5/1039: {using functional images, e.g. PET or MRI}
- A61N 5/1077: {Beam delivery systems}
- G06Q 50/00: Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism (healthcare informatics G16H)
- A61N 5/1045: {using a multi-leaf collimator, e.g. for intensity modulated radiation therapy or IMRT}
- A61N 2005/1041: {using a library of previously administered radiation treatment applied to other patients}
- A61N 2005/1074: {Details of the control system, e.g. user interfaces}
- G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- A61N: ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY (measurement of bioelectric currents A61B; surgical instruments, devices or methods for transferring non-mechanical forms of energy to or from the body A61B18/00; anaesthetic apparatus in general A61M; incandescent lamps H01K; infrared radiators for heating H05B)
- G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR

## Abstract

Systems and methods for efficient and automatic determination of radiation beam configurations for patient-specific radiation therapy planning are disclosed. According to an aspect, a method includes receiving data based on patient information and geometric characterization of one or more organs at risk proximate to a target volume of a patient. The method includes determining automatically one or more radiation treatment beam configuration sets. Further, the method includes presenting the determined one or more radiation beam configuration sets via a user interface.

## Claims

### Claim 1

A method comprising:
receiving, at a computing device including a processor and memory, data based on patient information and geometric characterization of one or more organs at risk proximate to a target volume of a patient; and
determining, by the processor, automatically one or more radiation treatment beam configuration sets by use of algorithms that incorporate models learned from a plurality of prior plans and formulas based on physical principles, wherein the algorithms use one of constructed beam efficient index and constructed beam navigation map; and
presenting the one or more radiation treatment beam configuration sets via a user interface.

### Claim 2 (depends on 1)

The method of claim 1, wherein the patient information includes one or more of patient image, patient organ contour information, target volume contour information, and clinical parameters.

### Claim 3 (depends on 1)

The method of claim 1, wherein the one or more radiation treatment beam configuration sets each include a pattern of beam angles, and
wherein presenting the one or more radiation treatment beam configuration sets comprises presenting information about the pattern of beam angles of the one or more radiation treatment beam configuration sets.

### Claim 4 (depends on 1)

The method of claim 1, wherein the one or more radiation treatment beam configuration sets each include beam dosage information, and
wherein presenting the one or more radiation treatment beam configuration sets comprises presenting the beam dosage information of the one or more radiation treatment beam configuration sets.

### Claim 5 (depends on 1)

The method of claim 1, wherein the patient information includes one of previous radiation treatment of the patient, previous treatment dose of the patient, location of previous radiation treatment of the patient, dose volume information of previous treatment dose of the patient, physiological condition of the patient, patient preference and treatment goals, and other treatment related information.

### Claim 6 (depends on 1)

The method of claim 1, wherein the patient information includes one of organ function analysis and transplant condition of the patient.

### Claim 7 (depends on 1)

The method of claim 1, further comprising:
receiving selection of one of the determined one or more radiation treatment beam configuration sets via the user interface;
receiving input for adjusting the selected one of the determined one or more radiation treatment beam configuration sets via the user interface; and
adjusting the selected one of the determined one or more radiation treatment beam configuration sets based on the input.

### Claim 8 (depends on 1)

The method of claim 1, wherein the geometric characterization associates each of a plurality of distances from the target volume with a respective percentage for a volume of the one or more organs at risk.

### Claim 9 (depends on 1)

The method of claim 1, wherein the data comprises size and shape of the target volume and sizes and shapes of the one or more organs at risk.

### Claim 10 (depends on 1)

The method of claim 1, wherein the data comprises information about one of radiation treatment knowledge, experience, preferences, and computerized models of published clinical trials results and guidelines.

### Claim 11 (depends on 1)

The method of claim 1, wherein the radiation treatment beam configuration sets define at least one of a dose distribution and a dose volume histogram.

### Claim 12 (depends on 1)

The method of claim 1, wherein the determined radiation treatment beam configuration sets comprise a set of beam bouquets.

### Claim 13 (depends on 12)

The method of claim 12, further comprising learning a best set of beam bouquets from a plurality of prior plans.

### Claim 14 (depends on 13)

The method of claim 13, wherein learning a best set of beam bouquets comprises using a clustering technique.

### Claim 15 (depends on 14)

The method of claim 14, wherein the clustering technique comprises k-medoid clustering.

### Claim 16 (depends on 12)

The method of claim 12, wherein the set of beam bouquets is six or less in number.
