Systems, devices, and methods for contactless patient registration for a medical procedure

Patent metadata

Field	Value
Publication number	US-11416995-B2
Application number	US-202017091920-A
Country	US
Kind code	B2
Filing date	Nov 6, 2020
Priority date	Oct 26, 2017
Publication date	Aug 16, 2022
Grant date	Aug 16, 2022

Abstract

Methods and apparatuses for performing patient registration. 3D scan data from a 3D scanner, preoperative image data, first tracking data from a first tracking system, and second tracking data from a second tracking system are mapped to a common coordinate space. The 3D scan data and the first tracking data are mapped to each other using a transformation that is determined based on a calibration relating the 3D scan coordinate space and the tracking coordinate space. The 3D scan data and the preoperative image data are mapped to each other using a surface matching algorithm. The first tracking data and the second tracking data are mapped to each other based on tracking of the patient reference device.

First claim

The invention claimed is:

1. A contactless method of registering a patient for a medical procedure using a medical navigation system, the method comprising mapping 3D scan data of a patient surface in a 3D scan coordinate space, preoperative image data in a preoperative image coordinate space, and tracking data in a tracking coordinate space to a common coordinate space by:
mapping the 3D scan data and other tracking data to each other using a transformation, the transformation being determined based on a calibration relating the 3D scan coordinate space and the tracking coordinate space;
mapping the 3D scan data and the preoperative image data to each other using a surface matching algorithm, using the surface matching algorithm comprising: matching a 3D surface from the 3D scan data with a 3D surface extracted from preoperative volumetric image data; cropping the 3D surface to exclude at least one unintended region; and selecting a point to initialize surface matching and automatically calculating an iterative closest point (ICP), thereby aligning and matching the 3D surface from the 3D scan data with the 3D surface extracted from preoperative volumetric image data; and
mapping the tracking data and the other tracking data to each other based on tracking of a patient reference device.

2. The method of claim 1 , wherein mapping the 3D scan data of the patient surface in the 3D scan coordinate space the 3D scan data comprises mapping 3D scan data obtained at a given time, wherein mapping the tracking data in a tracking coordinate space comprises data mapping the tracking data obtained at the same given time, and wherein mapping the 3D scan data and the tracking data to each other comprises performing mapping between respective 3D scan data and the tracking data obtained at the same given time.

3. The method of claim 1 , further comprising performing the calibration to relate the 3D scan coordinate space and the tracking coordinate space to each other by: obtaining 3D scan calibration data of a calibration device; obtaining tracking calibration data of the calibration device; and calculating the transformation to map the 3D scan calibration data and the tracking calibration data to each other.

4. The method of claim 3 , wherein the 3D scanner and a tracking system are in fixed spatial relationship with each other, and wherein performing the calibration comprises performing the calibration prior to obtaining the 3D scan data of the patient surface.

5. The method of claim 1 , wherein mapping 3D scan data of the patient surface in a 3D scan coordinate space comprises mapping 3D scan data of the patient surface comprising a surface of a patient's head in one position of prone, lateral, and supine.

6. The method of claim 1 , wherein mapping the tracking data and the other tracking data to each other based on tracking of the patient reference device comprises mapping the tracking data and the other tracking data to each other based on tracking of the patient reference comprising: a body having a first side and an opposing second side; at least three tracking markers supported on the first side; and at least another three tracking markers supported on the second side, wherein the tracking markers are trackable by the first and second tracking systems.

7. The method of claim 1 wherein mapping the preoperative image data in a preoperative image coordinate space comprises mapping the preoperative image data comprising at least one of: magnetic resonance (MR) image data, computed tomography (CT) image data, positron emission topography (PET) image data, X-ray image data, and ultrasound image data.

8. A medical navigation system for contactlessly registering a patient for a medical procedure, the medical navigation system comprising a controller in communication with a 3D scanner, a tracking system, and another tracking system, the controller comprising a processor configured to:
map 3D scan data of a patient surface in a 3D scan coordinate space, preoperative image data in a preoperative image coordinate space, and tracking data in a tracking coordinate space to a common coordinate space by:
mapping the 3D scan data and other tracking data to each other using a transformation, the transformation being determined based on a calibration relating the 3D scan coordinate space and the tracking coordinate space;
mapping the 3D scan data and the preoperative image data to each other using a surface matching algorithm, using the surface matching algorithm comprising: matching a 3D surface from the 3D scan data with a 3D surface extracted from preoperative volumetric image data; cropping the 3D surface to exclude at least one unintended region; and selecting a point to initialize surface matching and automatically calculating an iterative closest point (ICP), thereby aligning and matching the 3D surface from the 3D scan data with the 3D surface extracted from preoperative volumetric image data; and
map the tracking data and the other tracking data to each other based on tracking of a patient reference device.

9. The system of claim 8 , wherein the processor is further configured to: map the 3D scan data of the patient surface in the 3D scan coordinate space the 3D scan data by mapping 3D scan data obtained at a given time, map the tracking data in a tracking coordinate space comprises data by mapping the tracking data obtained at the same given time, and map the 3D scan data and the tracking data to each other by performing mapping between respective 3D scan data and the tracking data obtained at the same given time.

10. The system of claim 8 , wherein the processor is further configured to: perform the calibration to relate the 3D scan coordinate space and the tracking coordinate space to each other by: obtaining 3D scan calibration data of a calibration device; obtaining tracking calibration data of the calibration device; and calculating the transformation to map the 3D scan calibration data and the tracking calibration data to each other.

11. The system of claim 10 , wherein the 3D scanner and the tracking system are in fixed spatial relationship with each other, and wherein the calibration comprises the calibration prior to obtaining the 3D scan data of the patient surface.

12. The system of claim 8 , wherein the processor is further configured to map the 3D scan data of the patient surface in the 3D scan coordinate space by mapping 3D scan data of the patient surface comprising a surface of a patient's head in one position of prone, lateral, and supine.

13. The system of claim 8 , wherein the processor is further configured to map
the tracking data and the other tracking data to each other based on tracking of the patient reference device comprises mapping the tracking data and the other tracking data to each other based on tracking of the patient reference comprising:
a body having a first side and an opposing second side; at least three tracking markers supported on the first side; and at least another three tracking markers supported on the second side, wherein the tracking markers are trackable by the first and second tracking systems.

14. The system of claim 8 , wherein the processor is further configured to map the preoperative image data in a preoperative image coordinate space by mapping the preoperative image data comprising at least one of: magnetic resonance (MR) image data, computed tomography (CT) image data, positron emission topography (PET) image data, X-ray image data, and ultrasound image data.

15. A method of providing a medical navigation system for contactlessly registering a patient for a medical procedure, the method

Assignees

• Synaptive Medical Inc

Inventors

• Srimohanarajah Kirusha
• Lui Dorothy
• Sela Gal
• Hynna Kai
• Ismaili Shysta
• Ng Samson
• Jankowski Jakub

Classifications

• G06T12/10

  Image preprocessing, e.g. calibration, positioning of sources or scatter correction · CPC title

• G06T7/80

  Analysis of captured images to determine intrinsic or extrinsic camera parameters, i.e. camera calibration · CPC title

• A61B2090/3983

  Reference marker arrangements for use with image guided surgery · CPC title

• A61B34/20 Primary

  Surgical navigation systems; Devices for tracking or guiding surgical instruments, e.g. for frameless stereotaxis · CPC title

• G16H40/40

  for the management of medical equipment or devices, e.g. scheduling maintenance or upgrades · CPC title