PATENT CLAIM ANALYSIS

Application Number: 15891669
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-08
Patent Classification: ["382", "128000"]

Abstract:
A method of determining respiratory phase of a living body from a sequence of digitized fluoroscopic images of a living-body region exhibiting respiratory displacement. The method employs programmable computing apparatus and includes the steps of: (1) in each living-body-region image in the sequence, defining one or more zones with each image having identical image-to-image zone locations, sizes, and shapes; (2) for each image, computing an average pixel intensity for each zone to form a sequence thereof for each zone; (3) for each zone, modifying the average pixel intensities by (a) computing the mean value of the sequence of average pixel intensities for such zone, (b) subtracting the mean from each average pixel intensity in the zone, and (c) summing the absolute values of the modified average pixel intensities to form a zone-sequence sum A; (4) for each zone, computing absolute-value first differences for each sequential pair of average pixel intensities and summing the differences to form a zone-sequence first-difference sum B; (5) selecting the zone having the highest ratio A/B; and (6) using the sequence of modified average pixel intensities of the selected zone to determine respiratory phase.

Claim (Index 11):
The method of determining respiratory phase of  claim 1  further including the steps of extrapolating respiratory phase estimates forward in time beyond a most recent phase determination and gating the generation or capture of the sequence of digitized fluoroscopic images of a living-body region based on the extrapolated phase estimates.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 88.0
- Lexical Diversity: 2.3871
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15487245', '13607163', '15584266', '13254200', '14033696']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3131734445416415
- 35 USC 102 Novelty (BERT): 0.502867154922309
- Combined Prediction Score: 0.3321428155797082
- Mean Citation Score: 202.378816
- Max Citation Score: 219.92314
- Similarity Product: 151.03135008437513

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

Dataset: test