PATENT CLAIM ANALYSIS

Application Number: 15896023
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-09
Patent Classification: ["345", "419000"]

Abstract:
Disclosed is an image registration and an augmented reality system and an augmented reality method thereof which is suitable for solving the problem of spatial localization of the temporomandibular joint (TMJ) in arthroscopic surgery. The system comprises a three-dimensional scanning model building device, a stereoscopic image photographing device, a projection device and an arithmetic unit. The three-dimensional scanning model was constructed by preoperative or intraoperative imaging of the patient, and the surface three-dimensional model constructed by the stereoscopic image photographing device was spatially aligned to remove the surface (skin layer) of the three-dimensional image to display the TMJ image. Through the calibration of the stereoscopic image photographing device and the projection device, accurate, three-dimensional TMJ image location information is projected onto the patient's body to achieve the purpose.

Claim (Index 4):
The image registration and augmented reality system of  claim 1 , wherein the three-dimensional scanning model building device includes anatomic image scanning devices for computerized tomography or nuclear magnetic resonance imaging.

Metadata:
- Claim Count in Document: 16.0
- Percentile: 88.0
- Lexical Diversity: 2.02857
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14753705', '14511381', '15520409', '15586022', '11383598']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6576815173284878
- 35 USC 102 Novelty (BERT): 0.4718317653508879
- Combined Prediction Score: 0.6390965421307278
- Mean Citation Score: 169.64198000000005
- Max Citation Score: 177.49143999999995
- Similarity Product: 137.69870366903302

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