PATENT CLAIM ANALYSIS

Application Number: 15764789
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-11
Patent Classification: ["382", "131000"]

Abstract:
A medical data processing method, performed by a computer ( 2 ), for determining error analysis data describing the registration accuracy of a first elastic registration between first and second image data (A, B) describing images of an anatomical structure of a patient, comprising the steps of: —acquiring the first image data (A) describing a first image of the anatomical structure, —acquiring the second image data (B) describing a second image of the anatomical structure, —determining first registration data describing a first elastic registration of the first image data (A) to the second image data (B) by mapping the first image data (A) to the second image data (B) using a registration algorithm, —determining second registration data describing a second elastic registration of the second image data (B) to the first image data (A) by mapping the second image data (B) to the first image data (A) using the registration algorithm, —determining error analysis data describing the registration accuracy of the first elastic registration based on the first registration data and the second registration data.

Claim (Index 17):
The method according to  claim 16 , wherein determining, by the at least one processor, the first registration data involves determining a first transformation vector field for transforming the first image data to the second image data and determining, by the at least one processor, the second registration data involves determining a second transformation vector field for transforming the second image data to the first image data, wherein determining the first transformation vector field is independent from determining the second transformation vector field.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 90.0
- Lexical Diversity: 4.5
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15611492', '15533307', '15547723', '11985526', '14437789']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3301521655859489
- 35 USC 102 Novelty (BERT): 0.4701121816512192
- Combined Prediction Score: 0.3441481671924759
- Mean Citation Score: 166.841058
- Max Citation Score: 171.33795
- Similarity Product: 132.90636321783364

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

Dataset: test