PATENT CLAIM ANALYSIS

Application Number: 15747045
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-12
Patent Classification: ["382", "128000"]

Abstract:
The present invention relates to localization of a vascular treatment and quantification of a part of a vascular structure. It is described to provide ( 12 ) at least one first image comprising a representation of a region of interest of a vascular structure. At least one second image comprising a representation of the region of interest of the vascular structure is provided ( 14 ). Between an acquisition of the at least one first image and an acquisition of the at least one second image, a vascular treatment might have been applied to the region of interest of the vascular structure, wherein the representation of the region of interest of the vascular structure relates to spatial extension information of the vascular structure at least in one image plane. At least one reference image from an image set formed from the at least one first image and the at least one second image is selected ( 16 ). At least one sample image from the image set formed from the at least one first image and the at least one second image is selected ( 18 ), wherein the at least one sample image is different to the at least one reference image. At least one image from the at least one sample image is registered ( 20 ) with the at least one reference image to provide at least one registered image. It is determined ( 22 ) if there exists at least one region of spatial discrepancy between the representation of the region of interest in the at least one reference image and the representation of the region of interest in the at least one registered image. Data is output ( 24 ) representative of the at least one region of spatial discrepancy.

Claim (Index 11):
A method for vascular treatment localization and quantification, comprising:\n a) providing at least one first image comprising a representation of a region of interest of a vascular structure; b) providing at least one second image comprising a representation of the region of interest of the vascular structure; wherein, between an acquisition of the at least one first image and an acquisition of the at least one second image, a vascular treatment might have been applied to the region of interest of the vascular structure; and wherein the representation of the region of interest of the vascular structure relates to spatial extension information of the vascular structure at least in one image plane; c) selecting at least one reference image from an image set formed from the at least one first image and the at least one second image; d) selecting at least one sample image from the image set formed from the at least one first image and the at least one second image, wherein the at least one sample image is different to the at least one reference image; e) registering at least one image from the at least one sample image with the at least one reference image to provide at least one registered image; f) searching for a region of spatial discrepancy by determining a relative change in a diameter of a feature relating to the vascular structure between the at least one reference image and the at least one registered image; and g) if there exists at least one region of spatial discrepancy, outputting of data representative of an outcome of the vascular treatment applied in the region of spatial discrepancy as the region of interest.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 86.0
- Lexical Diversity: 4.20548
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15747585', '13387234', '15031815', '13983155', '13963346']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2689000506509682
- 35 USC 102 Novelty (BERT): 0.5285835447754249
- Combined Prediction Score: 0.2948684000634139
- Mean Citation Score: 210.669914
- Max Citation Score: 332.8918
- Similarity Product: 250.09310945208068

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

Dataset: test