PATENT CLAIM ANALYSIS

Application Number: 16202405
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-06
Patent Classification: ["705", "003000"]

Abstract:
A method includes receiving a first patient model of the patient, the first patient model being a multi-parametric patient model and the first patient model including a first image dataset of the patient, the first image dataset being coordinated relative to a patient coordinate system; receiving a second image dataset of the patient, the second image dataset being based on a medical imaging apparatus and being coordinated relative to a device coordinate system, the device coordinate system being a coordinate system relative to the medical imaging apparatus; determining a transformation function to transfer the device coordinate system into the patient coordinate system; determining a transformed second image dataset based on the second image dataset and the transformation function determined; and providing a second patient model of the patient, the second patient model being a multi-parametric patient model, and the second patient model including the second image dataset transformed.

Claim (Index 8):
The method of  claim 1 , wherein the receiving of the second image dataset is performed after the determining of the transformation function and wherein the receiving of the second image dataset comprises:\n receiving raw data, via the interface, wherein the raw data is based on an examination of the patient via the medical imaging apparatus, determining, via the at least one of the processor and processing circuitry, a reconstruction constraint based on the first patient model; and reconstructing, via the at least one of the processor and processing circuitry, the second image dataset based on the raw data and based on the reconstruction constraint.

Metadata:
- Claim Count in Document: 14.0
- Percentile: 98.0
- Lexical Diversity: 4.07692
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15179240', '14865925', '10722225', '15378741', '14933164']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1241422645872996
- 35 USC 102 Novelty (BERT): 0.4780447471189388
- Combined Prediction Score: 0.1595325128404635
- Mean Citation Score: 202.923432
- Max Citation Score: 216.3862
- Similarity Product: 175.92144395571944

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