PATENT CLAIM ANALYSIS

Application Number: 16181685
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-05
Patent Classification: ["382", "128000"]

Abstract:
Provided are a method and apparatus for interpolating X-ray tomographic image data by using a machine learning model. A method of interpolating an X-ray tomographic image or X-ray tomographic composite image data includes obtaining a trained model parameter via machine learning that uses a sub-sampled sinogram for learning as an input and uses a full-sampled sinogram for learning as a ground truth; radiating X-rays onto an object at a plurality of preset angular locations via an X-ray source, and obtaining a sparsely-sampled sinogram including X-ray projection data obtained via X-rays detected at the plurality of preset angular locations; applying the trained model parameter to the sparsely-sampled sinogram by using the machine learning model; and generating a densely-sampled sinogram by estimating X-ray projection data not obtained with respect to the object on the sparsely-sampled sinogram.

Claim (Index 8):
The method of  claim 1 , further comprising:\n cropping the sparsely-sampled sinogram into one or more image patches each having a length equal to a sensor size of an X-ray detector in a first direction and a preset width in a second direction perpendicular to the first direction, wherein the applying of the trained model parameter comprises applying the trained model parameter to the one or more image patches by using the machine learning model.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 98.0
- Lexical Diversity: 2.1875
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['12671776', '13057063', '15200435', '15325497', '14997365']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3071609370505701
- 35 USC 102 Novelty (BERT): 0.5091020640147771
- Combined Prediction Score: 0.3273550497469908
- Mean Citation Score: 245.224876
- Max Citation Score: 263.14578
- Similarity Product: 187.1194461150241

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

Dataset: test