PATENT CLAIM ANALYSIS

Application Number: 15877741
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-09
Patent Classification: ["382", "131000"]

Abstract:
A low-cost magnetic resonance imaging (MRI) apparatus that may be used for, e.g., Cardiac MRI (CMR). CMR is a clinical imaging tool that can investigate a wide range of cardiac conditions by exploring changes in the anatomy, physiology, or dynamics of the heart. The applications of CMR include, but are not limited to, the evaluation of congenital heart disease, coronary heart disease, ischemic heart disease, cardiac masses, the pericardium, cardiomyopathy, hibernating myocardium, and valvular and ventricular function. Generally, the MRI apparatus is a low-field (˜0.5T) system equipped with a high-end data processing unit (DPU) to enable the implementation of structure aware (SA) recovery in clinically relevant times.

Claim (Index 1):
A method for reconstructing image data, comprising:\n determining a noise power of acquired k-space data; determining coil-sensitivity maps; initializing values of relative weights that are respectively applied to subdictionaries used to model an image; using the coil-sensitivity maps and values of the relative weights to iteratively minimizing a weighted l 1 -norm of image representation in the subdictionaries in accordance with the relative weights; updating, within each iteration, the relative weights of subdictionaries based on the subdictionary-specific maximizing of a likelihood function; and outputting the reconstructed images upon convergence of a cost function used to estimate the reconstructed images.

Metadata:
- Claim Count in Document: 35.0
- Percentile: 86.0
- Lexical Diversity: 1.64634
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15013316', '14593322', '15495588', '13590602', '14065498']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2639931375014284
- 35 USC 102 Novelty (BERT): 0.5102518522353131
- Combined Prediction Score: 0.2886190089748168
- Mean Citation Score: 180.43005
- Max Citation Score: 300.6983
- Similarity Product: 273.5777666996956

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