Abstract: An optical coherence tomography scanning system traverses its respective scan pattern quickly, typically completing an entire two-dimensional frame faster than a conventional raster scanner completes one raster line segment. To traverse the scan pattern quickly, the system takes fewer A-scans per length of scan pattern than a conventional OCT scanner. To compensate for the sparsity of the sample points along the respective scan line segments, and for gaps between respective line segments of the trajectory, the system acquires and combines several partially overlapping frames for each study.
Type:
Application
Filed:
May 15, 2024
Publication date:
September 12, 2024
Applicant:
Perceptive Technologies, Inc.
Inventors:
Christopher John Ciriello, Wei Kang, Phillip Getto, Angela Zhang, Justin LaRue, Victor Grinberg
Abstract: Provided herein are computer-implemented methods, computer-implemented systems, and a non-transitory computer-readable storage media for directing an automated dental drill (ADD) for preparation of a target tooth of a patient under the control of a practitioner.
Type:
Grant
Filed:
March 2, 2023
Date of Patent:
July 9, 2024
Assignee:
Perceptive Technologies, Inc.
Inventors:
Christopher John Ciriello, Scott Howard Phillips
Abstract: An optical coherence tomography scanning system traverses its respective scan pattern quickly, typically completing an entire two-dimensional frame faster than a conventional raster scanner completes one raster line segment. To traverse the scan pattern quickly, the system takes fewer A-scans per length of scan pattern than a conventional OCT scanner. To compensate for the sparsity of the sample points along the respective scan line segments, and for gaps between respective line segments of the trajectory, the system acquires and combines several partially overlapping frames for each study.
Type:
Grant
Filed:
September 8, 2023
Date of Patent:
June 25, 2024
Assignee:
Perceptive Technologies, Inc.
Inventors:
Christopher John Ciriello, Wei Kang, Phillip Getto, Angela Zhang, Justin LaRue, Victor Grinberg