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 19):
The media of  claim 17 , further comprising instructions for, prior to 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 further comprises estimating a deformation of a point in the object of interest at a point in time, which is inside an interval of time during which the point was irradiated by the cone beam of the radiation source:\n acquiring a plurality of training images; training the artificial intelligence based method by optimizing a performance of the artificial intelligence based method using the plurality of training images to learn one or more parameters for the artificial intelligence based method.

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): 0.3528216356648164
- 35 USC 102 Novelty (BERT): 0.533111594804898
- Combined Prediction Score: 0.3708506315788246
- Mean Citation Score: 239.789886
- Max Citation Score: 371.74078
- Similarity Product: 274.9253897606456

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