PATENT CLAIM ANALYSIS

Application Number: 15895086
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["382", "128000"]

Abstract:
A method is provided for creating magnetic resonance images of a predetermined three-dimensional volume segment of a living object undergoing examination, using a magnetic resonance device. The method includes acquiring magnetic resonance data in the volume segment by radial acquisition of a k-space for a predetermined duration of capture that includes at least one full respiratory period of the object undergoing examination; analyzing the magnetic resonance data in order to determine therefrom at least one respiratory period; forming at least one data group that includes only the magnetic resonance data that belongs to at least one respiratory state of the at least one respiratory period; and creating the magnetic resonance images from only the magnetic resonance data of the at least one data group. Here, it is advantageous that magnetic resonance images of higher temporal resolution and/or better image quality, in particular with smaller image artifacts, may be provided.

Claim (Index 14):
A computer program product configured to be loaded directly into a memory of a digital computer of an apparatus, including program code parts, wherein the computer program product is configured to cause the apparatus to at least perform:\n acquire magnetic resonance data in a volume segment by radial acquisition of a k-space for a predetermined duration of capture that includes at least one full respiratory period of an object undergoing examination; analyzing the magnetic resonance data in order to determine at least one respiratory period; forming at least one data group that includes only the magnetic resonance data that belongs to at least one respiratory state of the at least one respiratory period; and creating magnetic resonance images from only the magnetic resonance data of the at least one data group.

Metadata:
- Claim Count in Document: 14.0
- Percentile: 88.0
- Lexical Diversity: 2.23944
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['13866311', '13866341', '14220456', '13866302', '12402055']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3474512840466424
- 35 USC 102 Novelty (BERT): 0.467594184813727
- Combined Prediction Score: 0.3594655741233509
- Mean Citation Score: 174.083296
- Max Citation Score: 179.86485
- Similarity Product: 145.5216873568654

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

Dataset: test