Multi-axis medical imaging
AssigneeLeo Cancer Care, Inc.
InventorsBrent Melvin Harper, Thomas Rockwell Mackie, Stephen Kevin Towe, Alan Dart Baldwin, Timothy John Holzmann, Anthony Westwood
Life of this patent
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Abstract
Provided herein is technology relating to radiology and radiotherapy and particularly, but not exclusively, to apparatuses, methods, and systems for multi-axis medical imaging of patients in vertical and horizontal positions.
Claims38
1-130. (canceled)
A system for recording a medical image of a subject, said system comprising a multi-axis medical imaging apparatus and a light curtain subsystem.
148-153. (canceled)
A rapid multi-axis computed tomography (RMACT) scanner comprising:
- a first stanchion, a second stanchion, a first gantry arm, a second gantry arm, and a scanner ring;
- a bottom bridge and a top bridge that connect the first gantry arm to the second gantry arm;
- and
- a patient support that is connected to the bottom bridge and the top bridge.
A method for obtaining medical images, the method comprising:
- providing a rapid multi-axis computed tomography (RMACT) scanner comprising:
- a first stanchion, a second stanchion, a first gantry arm, a second gantry arm, and a scanner ring;
- a bottom bridge and a top bridge that connect the first gantry arm to the second gantry arm;
- and
- a patient support that is connected to the bottom bridge and the top bridge;
- imaging a patient in a vertical position to obtain a first image;
- and
- imaging said patient in a horizontal position to obtain a second image.
A system comprising a rapid multi-axis computed tomography (RMACT) scanner comprising:
- a first stanchion, a second stanchion, a first gantry arm, a second gantry arm, and a scanner ring;
- a bottom bridge and a top bridge that connect the first gantry arm to the second gantry arm;
- and
- a patient support that is connected to the bottom bridge and the top bridge;
- and
- a microprocessor configured to acquire a first image of a patient in a vertical position and to acquire a second image of the patient in a horizontal position.
Dependencies are inferred from the claim text.