Reality-augmented morphological procedure
AssigneeARIS MD, Inc.
InventorsChandra Devam, Zaki Adnan Taher, William Scott Edgar
Life of this patent
Estimating the term…
Abstract
Data representative of a physical feature of a morphologic subject is received in connection with a procedure to be carried out with respect to the morphologic subject. A view of the morphologic subject overlaid by a virtual image of the physical feature is rendered for a practitioner of the procedure, including generating the virtual image of the physical feature based on the representative data, and rendering the virtual image of the physical feature within the view in accordance with one or more reference points on the morphologic subject such that the virtual image enables in-situ visualization of the physical feature with respect to the morphologic subject.
Claims18
A system for identifying abnormalities within an interior of a physical subject, the system comprising:
- a data reception interface configured to receive morphological data captured during an imaging procedure of the interior of the physical subject, the morphological data comprising first morphological data of an entirety of a first three-dimensional physical feature and second morphological data of an entirety of a second three-dimensional physical feature in the interior of the physical subject;
- a user interface configured to receive a user input from a user;
- and
- at least one processor configured to:
- render a first three-dimensional virtual image of the interior of the physical subject, the first three-dimensional virtual image including the first and second three-dimensional physical features in situ, wherein, in the first three-dimensional virtual image, the second three-dimensional physical feature at least partially obscures from view the first three-dimensional physical feature,
- automatically analyze the morphological data to identify a defect in the first three-dimensional physical feature,
- automatically, without user intervention, select a display depth for a second three-dimensional virtual image,
- identify a subset of the morphological data in accordance with the selected display depth, the subset of the morphological data not including the second morphological data,
- after identifying the defect in the first three-dimensional physical feature, render the second three-dimensional virtual image of the interior of the physical subject, the second three-dimensional virtual image including only the subset of the morphological data, the second three-dimensional virtual image exposing the defect in the first three-dimensional physical feature, and
- in response to the user input, change an orientation of the first three-dimensional physical feature in the second three-dimensional virtual image.
A method of identifying abnormalities within an interior of a three-dimensional physical subject, the method comprising:
- receiving morphological data captured during an imaging procedure of the interior of the three-dimensional physical subject, the morphological data comprising first morphological data of an entirety of a first three-dimensional physical feature situated in the interior of the three-dimensional physical subject;
- rendering a first three-dimensional virtual image of the interior of the three-dimensional physical subject;
- automatically analyzing the morphological data to identify a defect in the first three-dimensional physical feature;
- automatically, without user intervention, selecting a display depth for a second three-dimensional virtual image;
- identifying a subset of the morphological data in accordance with the selected display depth, the subset including less than all of the morphological data;
- and
- after identifying the defect in the first three-dimensional physical feature, rendering the subset of the morphological data to display the second three-dimensional virtual image of the interior of the three-dimensional physical subject, the second three-dimensional virtual image exposing the defect in the first three-dimensional physical feature.
Dependencies are inferred from the claim text.