PATENT CLAIM ANALYSIS

Application Number: 16181038
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["382", "131000"]

Abstract:
An MRI image processing and analysis system may identify instances of structure in MRI flow data, e.g., coherency, derive contours and/or clinical markers based on the identified structures. The system may be remotely located from one or more MRI acquisition systems, and perform: perform error detection and/or correction on MRI data sets (e.g., phase error correction, phase aliasing, signal unwrapping, and/or on other artifacts); segmentation; visualization of flow (e.g., velocity, arterial versus venous flow, shunts) superimposed on anatomical structure, quantification; verification; and/or generation of patient specific 4-D flow protocols. An asynchronous command and imaging pipeline allows remote image processing and analysis in a timely and secure manner even with complicated or large 4-D flow MRI data sets.

Claim (Index 24):
The processor-based device of  claim 19  wherein to determine which of the first or the second ones of the bins includes voxels representative of arterial blood flow and which of the first or second one of the bins includes voxels representative of venous blood flow, the at least one processor:\n for each of at least some of the bins,\n identifies any voxels in the bin that have a coherence value above a threshold coherence value; \n for any voxels in the bin that have a coherence value above the threshold coherence value, computes an angle between an average velocity over all of a plurality of time points and a vector that connects a centroid of the respective voxel with a centroid of an anatomical structure; and \n computes an average angle between all voxels in the bin and the centroid of the anatomical structure.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 98.0
- Lexical Diversity: 1.67857
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15112130', '15363683', '11264775', '15706798', '10261182']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.332803346632315
- 35 USC 102 Novelty (BERT): 0.5276176342112703
- Combined Prediction Score: 0.3522847753902106
- Mean Citation Score: 227.958054
- Max Citation Score: 343.233
- Similarity Product: 246.82316647356745

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

Dataset: test