PATENT CLAIM ANALYSIS

Application Number: 15871131
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["382", "131000"]

Abstract:
Methods and devices for reconstructing dual-energy CT images are provided. In one aspect, CT scan is performed with a high energy and a low energy periodical and alternatively changed on a scanning target, reconstruction data for a high-energy image of a current reconstruction position is obtained based on whether a circle of high-energy scan closest to the current reconstruction position of the scanning target is a full circle of scan, the high-energy image of the current reconstruction position is reconstructed according to the reconstruction data of the high-energy image; reconstruction data for a low-energy image of the current reconstruction position is obtained based on whether a circle of high-energy scan closest to the current reconstruction position of the scanning target is the full circle of scan, the low-energy image of the current reconstruction position is reconstructed according to the reconstruction data of the low-energy image.

Claim (Index 3):
The method of  claim 1 , further comprising:\n determining a circle of high-energy scan passing through the current reconstruction position to be the circle of high-energy scan closest to the current reconstruction position when the high-energy scan is performed on the current reconstruction position.

Metadata:
- Claim Count in Document: 28.0
- Percentile: 86.0
- Lexical Diversity: 3.16667
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['11037968', '10523867', '14681797', '14304848', '13982275']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2690934141060727
- 35 USC 102 Novelty (BERT): 0.5063687419084082
- Combined Prediction Score: 0.2928209468863063
- Mean Citation Score: 160.95423999999997
- Max Citation Score: 165.50163
- Similarity Product: 93.6255437332392

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