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 12):
The method of  claim 2 , further comprising identifying at least one chord between the first section and the second section for each pair of the subset and reconstructing the first partial image and the second partial image of each pair in a neighborhood of the identified chord to generate a two-dimensional first partial image and a two-dimensional second partial image and performing image registration using the two-dimensional first partial image and the two-dimensional second partial image.

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): 0.3511414976572867
- 35 USC 102 Novelty (BERT): 0.5330867148344579
- Combined Prediction Score: 0.3693360193750039
- Mean Citation Score: 239.789886
- Max Citation Score: 371.74078
- Similarity Product: 344.90191540429834

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