PATENT CLAIM ANALYSIS

Application Number: 15753586
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-01
Patent Classification: ["382", "107000"]

Abstract:
Various systems and methods for generating images are provided. In some embodiments, the techniques can include acquiring a medical image and an associated motion characterization. The motion characterization can then be used to generate a plurality of gated image data sets, sorted by phase in the motion cycle. A new amplitude-based motion characterization curve is derived from the association of phases with amplitude-based characteristics in the phase gated images. This newly derived amplitude-based motion characterization curve can then be used to re-sort data according to amplitude-based gating techniques known in the field or with data driven optimization techniques.

Claim (Index 16):
A system comprising:\n a memory; a processor; an image acquisition module, under the control of the processor, configured to acquire a set of medical images of a patient collected via a medical imaging procedure; a motion characterization module, under the control of the processor, configured to characterize gating motion of the patient based on the set of medical images; an optimization module, under the control of the processor, configured to determine optimal bin sizes that maximize image resolution; and an image processing module, under the control of the processor, configured to generate a set of gated medical images by sorting the set of medical images into bins based on the optimal bin sizes and combining medical images within each of the bins to create the set of gated medical images.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 88.0
- Lexical Diversity: 1.66667
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14626976', '12622006', '13248089', '15721783', '11554519']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2905265301810558
- 35 USC 102 Novelty (BERT): 0.5065873666201619
- Combined Prediction Score: 0.3121326138249664
- Mean Citation Score: 211.797126
- Max Citation Score: 223.59201
- Similarity Product: 143.50076257537185

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