PATENT CLAIM ANALYSIS

Application Number: 16152185
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-01
Patent Classification: ["382", "131000"]

Abstract:
A method of improving diagnostic and functional imaging is provided by obtaining at least two input images of a subject, using a medical imager, where each input image includes a different contrast, generating a plurality of copies of the input images using non-local mean (NLM) filtering, using an appropriately programmed computer, where each input image copy of the subject includes different spatial characteristics, obtaining at least one reference image of the subject, using the medical imager, where the reference image includes imaging characteristics that are different form the input images of the subject, training a deep network model, using data augmentation on the appropriately programmed computer, to adaptively tune model parameters to approximate the reference image from an initial set of the input and reference images, with the goal of outputting an improved quality image of other sets of low SNR low resolution images, for analysis by a physician.

Claim (Index 1):
A method of shortening imaging time for diagnostic and functional imaging, comprising:\n a) obtaining at least two input images of a subject, using a medical imager, wherein each said input image comprises a different contrast; b) generating a plurality of copies of said input images of said subject using non-local mean (NLM) filtering, using an appropriately programmed computer, wherein each said input image copy of said subject comprises different spatial characteristics; c) obtaining at least one reference image of said subject, using said medical imager, wherein said at least one reference image of said subject comprises imaging characteristics that are different from said input images of said subject; d) training a deep network model, using data augmentation on said appropriately programmed computer, to adaptively tune model parameters to approximate said reference image from an initial set of said input images; and e) outputting an improved quality image of said subject, for analysis by a physician.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 97.0
- Lexical Diversity: 2.0625
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15475760', '15355777', '15176216', '13867885', '15343254']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.271746980747018
- 35 USC 102 Novelty (BERT): 0.5450176440582959
- Combined Prediction Score: 0.2990740470781458
- Mean Citation Score: 209.43237800000003
- Max Citation Score: 380.76813
- Similarity Product: 375.0254752035248

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

Dataset: test