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 17):
The method of  claim 8 , wherein the determining, via the at least one of the processor and processing circuitry, of the reconstruction constraint based on the first patient model, includes determining the reconstruction constraint based on based on the first image dataset.

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): 0.1224203007527317
- 35 USC 102 Novelty (BERT): 0.4944063645892864
- Combined Prediction Score: 0.1596189071363872
- Mean Citation Score: 202.923432
- Max Citation Score: 216.3862
- Similarity Product: 146.59510057134628

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