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 38):
The system of  claim 31 , wherein to generate the series of binary image B i , 1 i K based on the series of intermediate flood histogram I i , respectively, the at least one processor is further configured to cause the system to:\n determine a first group of pixels in each of the series of binary image B i ; set an intensity of each pixel in the first group to be one; and set an intensity of each pixel not in the first group to be zero.

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): 0.2829395574138153
- 35 USC 102 Novelty (BERT): 0.5726467889586669
- Combined Prediction Score: 0.3119102805683005
- Mean Citation Score: 211.24377
- Max Citation Score: 530.8494
- Similarity Product: 312.5463830042839

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