PATENT CLAIM ANALYSIS

Application Number: 15742902
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["324", "309000"]

Abstract:
The invention relates to a method of MR imaging of an object ( 10 ) placed in the examination volume of a MR device ( 1 ). It is an object of the invention to provide a method that enables efficient motion-compensation and/or motion-correction and that is compatible with Cartesian sampling of k-space. The method of the invention comprises: —generating MR signals by subjecting the object ( 10 ) to a MR imaging sequence of at least one RF pulse and switched magnetic field gradients; —acquiring the MR signals as a plurality of temporally successive subsets, each subset comprising a number of k-space profiles with sub-sampling of k-space, wherein the subsets complement each other to form a fully sampled set of k-space profiles; —reconstructing a single-subset MR image from each subset; —computing a gradient MR image from each single-subset MR image; and —detecting motion by comparing the gradient MR images with each other. Moreover, the invention relates to a MR device ( 1 ) and to a computer program for a MR device ( 1 ).

Claim (Index 17):
Method of  claim 1 , wherein in the computation of the gradient MR image involves to reduce the inner k-space's influence, in particular in that the gradient MR image is computed as voxel-wise spatial derivative of the image values (in at least one spatial direction) of the corresponding single-subset MR image.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 86.0
- Lexical Diversity: 2.13636
- Patent Class: 324.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15102560', '15312805', '15105297', '15580402', '12307618']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.650293197044208
- 35 USC 102 Novelty (BERT): 0.5298482898980081
- Combined Prediction Score: 0.638248706329588
- Mean Citation Score: 334.35933
- Max Citation Score: 378.81766
- Similarity Product: 284.54252250062467

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

Dataset: test