PATENT CLAIM ANALYSIS

Application Number: 15891784
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["324", "309000"]

Abstract:
In a method and apparatus for magnetic resonance imaging preview and establishing an MR model, an MRI scanner is controlled so as to execute an MR model scan sequence to perform an MRI scan of a designated patient, to obtain an MR model of the patient. One type of scan sequence is sequentially selected from all types of scan sequence supported by the MRI device, and one parameter set is sequentially selected from at least one parameter set supported by this type of scan sequence. The selected sequence and the selected parameter set are used to subject the MR model to a virtual MRI scan, to obtain an MR preview image corresponding to the selected sequence and the selected parameter set for the sequence C. This is repeated for all types of scan sequence supported by the MRI scanner and all parameter sets supported by each type of scan sequence. An MR model of a patient can thereby be established, and MR images of the patient to be previewed quickly, before an MRI scan of the patient is actually begun.

Claim (Index 4):
The method as claimed in  claim 3 , characterized in that using the selected sequence and the selected parameter set to subject the MR model to the virtual MRI scan in step B comprises:\n performing a Bloch algorithm, on the basis of the identifier of the tissue to which each pixel point belongs in the MR model, the MR characteristic parameter of said tissue and the position of the pixel point, and also on the basis of the selected sequence and the selected parameter set for the sequence, and a field non-homogeneity description matrix of a current static magnetic field, to obtain the MR preview image corresponding to the selected sequence and the selected parameter set for the sequence.

Metadata:
- Claim Count in Document: 6.0
- Percentile: 88.0
- Lexical Diversity: 2.67606
- Patent Class: 324.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15872407', '10794941', '15389156', '10794924', '11686413']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5598290320581842
- 35 USC 102 Novelty (BERT): 0.518315386061069
- Combined Prediction Score: 0.5556776674584727
- Mean Citation Score: 267.922168
- Max Citation Score: 299.96555
- Similarity Product: 200.49191064860813

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

Dataset: test