PATENT CLAIM ANALYSIS

Application Number: 16000723
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["324", "307000"]

Abstract:
The disclosure relates to a method for calibration in a magnetic resonance (MR) imaging procedure, in which MR imaging data is acquired simultaneously from a multiplicity of slices of a subject under examination, wherein at least one subsampled calibration dataset is generated from a fully sampled reference dataset of an individual slice by rearranging an order of the data points in the reference dataset. In addition, a reconstruction dataset, which is used to assign MR imaging data to the individual slice, is calculated based on the rearranged order of the at least one calibration dataset, wherein the MR imaging data of the individual slice is subsampled in k-space.

Claim (Index 18):
A magnetic resonance (MR) system for calibration in a magnetic resonance imaging procedure, in which MR imaging data is acquired simultaneously from a multiplicity of slices of a subject under examination, the MR system comprising:\n a magnetic resonance (MR) control unit; and a memory unit, wherein the memory unit stores control information configured to be executed by the MR control unit, and wherein the MR system is configured to, when the control information is executed in the MR control unit, at least perform:\n provide at least one reference dataset of an individual slice, wherein the reference dataset is fully sampled in k-space and comprises a multiplicity of data points; \n generate at least one calibration dataset by rearranging an order of the data points in the at least one reference dataset; and \n calculate a reconstruction dataset, which is used to assign MR imaging data to the individual slice, based on the rearranged order of the data points in the at least one calibration dataset.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 94.0
- Lexical Diversity: 2.03448
- Patent Class: 324.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15454186', '13958658', '13326622', '13996031', '13633908']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.580968700481656
- 35 USC 102 Novelty (BERT): 0.4843822679646015
- Combined Prediction Score: 0.5713100572299507
- Mean Citation Score: 238.54985
- Max Citation Score: 243.96172
- Similarity Product: 189.80195571949

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

Dataset: test