PATENT CLAIM ANALYSIS

Application Number: 16412290
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2019-10
Patent Classification: ["382", "131000"]

Abstract:
An improved system and method for estimating and compensating for motion by reducing motion artifacts produced during image reconstruction from helical computed tomography (CT) scan data. In a particular embodiment, the reconstruction may be based on helical partial angle reconstruction (PAR) and the registration may be performed utilizing one or more artificial intelligence (AI) based methods.

Claim (Index 14):
A system for estimating and compensating for motion by reducing motion artifacts in an image reconstruction from helical computed tomography (CT) scan data of an object of interest, the method comprising:\n a memory for storing a helical computer tomography (CT) scan data of an object of interest; a data processor for estimating and compensating for motion by reducing motion artifacts in an image reconstruction from the helical computed tomography (CT) scan data of an object of interest, wherein the data processor is adapted for performing the following operations:\n loading the helical CT scan data from the memory; \n selecting a plurality of center-points along a trajectory of the radiation source; \n identifying a plurality of pairs of sections along the trajectory of the radiation source, wherein each of the plurality of pairs of section is associated with one of the plurality of center-points and wherein a first section of each of the pairs of sections and a second section of each of the pairs of sections are positioned on opposite sides of the center-point; \n selecting a subset of the plurality of pairs of sections; \n reconstructing, for each pair of the subset, a first partial image from the scan data of the first section and a second partial image from the scan data of the second section; \n performing image registration of the first partial image and the second partial image for each pair of the subset to estimate a deformation that transforms the first partial image into the second partial image, wherein the deformation is representative of motion of the object during the scan and wherein the image registration is performed using an artificial intelligence based method; and \n generating a motion artifact compensated image by reconstructing the object of interest using the scan data and the estimated deformation.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 100.0
- Lexical Diversity: 1.32653
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15815662', '14554799', '14838522', '12930856', '12032810']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3507571465110979
- 35 USC 102 Novelty (BERT): 0.5330810272392744
- Combined Prediction Score: 0.3689895345839156
- Mean Citation Score: 239.789886
- Max Citation Score: 371.74078
- Similarity Product: 360.93196381631134

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

Dataset: test