PATENT CLAIM ANALYSIS

Application Number: 15897110
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
Patent Classification: ["382", "131000"]

Abstract:
Some embodiments of the present disclosure relates to a method and system for generating crystal lookup table (CLT) based on a flood histogram. The method may include receiving a flood histogram of a subject; determining a crystal central position map based on the flood histogram, the crystal central position map including a plurality of crystal central positions, forming rows and columns of the plurality of crystal central positions to generate a labelled crystal lookup table, forming a template based on the rows and the columns in the labelled crystal central position map, and correcting the labelled crystal central position map based on the template and the flood histogram to obtain a corrected crystal central position map. A crystal lookup table may be formed.

Claim (Index 32):
The system of  claim 31 , wherein to generate the crystal central position map (CCPM) based on the series of binary image B i , the at least one processor is configured to cause the system to:\n obtain a binary image C; for each B i , i=K, K\u22121, . . . , 2, 1,\n identify a plurality of connected components in B i , the plurality of connected components each corresponding to a connected region inside which all pixel values are one; \n determine, from the plurality of connected components in B i , one or more non-overlapping connected components, wherein the one or more non-overlapping connected components do not overlap with the binary image C; and \n update the binary image C by filling the one or more non-overlapping connected components into the binary image C; and \n generate the CCPM based on the updated binary image C.

Metadata:
- Claim Count in Document: 59.0
- Percentile: 88.0
- Lexical Diversity: 2.55769
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15142295', '12916100', '13955029', '13702150', '14731223']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2779066829707835
- 35 USC 102 Novelty (BERT): 0.5876787023993553
- Combined Prediction Score: 0.3088838849136407
- Mean Citation Score: 211.24377
- Max Citation Score: 530.8494
- Similarity Product: 378.88072565224167

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