PATENT CLAIM ANALYSIS

Application Number: 16074632
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-03
Patent Classification: ["600", "411000"]

Abstract:
Systems and methods for managing motions of an anatomical region of interest of a patient during image-guided radiotherapy are disclosed. An exemplary system may include an image acquisition device, a radiotherapy device, and a processor device. The processor device may be configured to control the image acquisition device to acquire at least one 2D image. Each 2D image may include a cross-sectional image of the anatomical region of interest. The processor device may also be configured to perform automatic contouring in each 2D image to extract a set of contour elements segmenting the cross-sectional image of the anatomical region of interest in that 2D image. The processor device may be further configured to match the set of contour elements to a 3D surface image of the anatomical region of interest to determine a motion of the anatomical region of interest and to control radiation delivery based on the determined motion.

Claim (Index 28):
A radiotherapy system, comprising:\n an image acquisition device configured to acquire Magnetic Resonance Imaging (MRI) images of an anatomical region of interest of a patient; a radiotherapy device including a linear accelerator (LINAC) and configured to deliver a dose of radiation to the anatomical region of interest based on the MRI images of the anatomical region of interest; and a processor device configured to:\n control the image acquisition device to acquire a plurality of 2D images, each of the plurality of 2D images includes a corresponding cross-sectional image of the anatomical region of interest, wherein the plurality of 2D images include 2D images acquired in at least two of a sagittal plane, a coronal plane, or a transverse plane, and wherein the plurality of 2D images include a first 2D image acquired at a first time point and a second 2D image acquired at a second time point, the second time point being more recent than the first time point, and wherein the first and second 2D images are acquired at different anatomical planes; \n generate a predicted image by advancing the first 2D image forward in time to the second time point based on a periodical motion of the patient, the periodical motion including a respiratory motion; \n perform automatic contouring to extract a first set of contour elements segmenting the cross-sectional image of the anatomical region of interest in the predicted image and a second set contour elements segmenting the cross-sectional image of the anatomical region of interest in the second 2D image, wherein each of the first and second sets of contour elements includes at least one of a set of points, a set of line segments, or a set of image patches; \n match the first and second sets of contour elements to a 3D surface image of the anatomical region of interest by minimizing a distance between the first and second sets of contour elements and the 3D surface to determine a motion of the anatomical region of interest, the motion including at least one of a displacement or a rotation; and \n control radiation delivery based on the determined motion during a radiotherapy session, including at least one of:\n controlling a gating of a radiation beam; \n controlling a modification of a multi-leaf collimator (MLC); or \n controlling a movement of a patient supporting system.

Metadata:
- Claim Count in Document: 74.0
- Percentile: 96.0
- Lexical Diversity: 2.43077
- Patent Class: 600.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16075125', '15852860', '14884441', '14607654', '14607626']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4961971253758004
- 35 USC 102 Novelty (BERT): 0.5235327753518103
- Combined Prediction Score: 0.4989306903734015
- Mean Citation Score: 290.71156599999995
- Max Citation Score: 371.04263
- Similarity Product: 335.9898257129204

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test