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 17):
The apparatus of  claim 16 , wherein\n the maintaining comprises:\n applying, to the residual sinogram, a base projection data preserving layer that maintains the value of the trained X-ray projection data at the plurality of preset angular locations included in the residual sinogram to be equal to the value of the X-ray projection data at the angles corresponding to the plurality of preset angular locations included in the sparsely-sampled sinogram, and \n adding the sparsely-sampled sinogram to the residual sinogram to which the base projection data preserving layer has been applied, and \n the base projection data preserving layer processes a pixel value of at least one piece of X-ray projection data at the plurality of preset angular locations to be 0.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 98.0
- Lexical Diversity: 2.1875
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['12671776', '13057063', '15200435', '15325497', '14997365']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3334747786774991
- 35 USC 102 Novelty (BERT): 0.5089606159883693
- Combined Prediction Score: 0.3510233624085861
- Mean Citation Score: 245.224876
- Max Citation Score: 263.14578
- Similarity Product: 194.71595932939053

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

Dataset: test