Hybrid registration method
A registration method whereby a sensor-based approach is used to establish initial registration and whereby upon the commencement of navigating an endoscope, image-based registration methods are used in order to more accurately maintain the registration between the endoscope location and previously-acquired images. A six-degree-of-freedom location sensor is placed on the probe in order to reduce the number of previously-acquired images that must be compared to a real-time image obtained from the endoscope.
1. A method of registering an airway to a three-dimensional 3D model of the airway:
acquiring a plurality of computed tomography (CT) images of the airways of a patient;
generating a 3D model of the airways derived from the plurality of CT images;
generating a plurality of virtual endoscopic images derived from the 3D model;
acquiring an endoscopic image;
comparing the endoscopic image to the plurality of virtual endoscopic images to identify a match between the endoscopic image and a virtual endoscopic image of the plurality of virtual endoscopic images, wherein a viewpoint of the matching virtual endoscopic image substantially corresponds to a viewpoint of the endoscopic image;
determining a position associated with an endoscope in an airway of a patient to form a determined position;
comparing the determined position with a location in the 3D model corresponding to the matching virtual endoscopic image; and
when the determined position and the location in the 3D model substantially correspond, depicting a location of the endoscope in the 3D model.
2. The method of claim 1 , wherein the determining the position includes recording a shape of a segment of the airway and identifying a segment in the 3D model that corresponds to the shape of the recorded segment.
3. The method of claim 1 , wherein the determining the position includes determining a position of a sensor, and
wherein the sensor is an electromagnetic sensor, and the determining the position of the sensor includes detecting electromagnetic fields.
4. The method of claim 3 , wherein the matching virtual endoscopic image defines a subgroup of the plurality of virtual endoscopic images corresponding to a vicinity of the sensor, and
wherein the plurality of virtual endoscopic images and the subgroup are stored in a database.
5. The method of claim 4 , further comprising selecting an image from the subgroup that most accurately corresponds to an approximate location to update an initial registration using an image-based registration technique when the endoscope and the associated sensor are moved.
6. A method of registering sensor location data to images of a patient's at least one body part, comprising:
generating location data corresponding to a location of a sensor within a patient's body by recording a shape of a segment of the patient's at least one body part and identifying a segment in a 3D model, which is derived from computed tomography (CT) images, that corresponds to the shape of the recorded segment;
comparing a plurality of previously acquired images of the patient's at least one body part to a plurality of virtual images derived from the CT images to identify a subgroup of the plurality of previously acquired images of the patient's at least one body part;
registering the location of the sensor relative to the subgroup of the plurality of previously acquired images of the patient's at least one body part based on the location data; and
updating the registered location of the sensor based on one or more images selected from the subgroup.
7. The method of claim 6 , wherein recording the shape of the segment of the patient's at least one body part includes recording a plurality of locations of the sensor.
8. The method of claim 6 , wherein recording the shape of the segment of the patient's at least one body part includes recording a plurality of locations of a respective plurality of sensors disposed along the patient's at least one body part.
9. The method of claim 6 , wherein the sensor is an electromagnetic sensor and generating location data includes sensing electromagnetic fields.
10. The method of claim 6 , wherein the plurality of previously acquired images are a plurality of virtual endoscopic images derived from computer tomography (CT) images stored in a memory, and a matching virtual endoscopic image defines a subset of the plurality of virtual endoscopic images corresponding to a vicinity of the sensor.
11. The method of claim 10 , wherein the subset is a single virtual endoscopic image.
12. The method of claim 10 , wherein the subset includes two or more virtual endoscopic images.
13. The method of claim 6 , wherein the patient's at least one body part is an airway of a lung.
14. A method of registering sensor location data to images of at least one body part, comprising:
generating location data corresponding to a location of a sensor within a patient's body;
comparing a plurality of previously acquired images of the patient's at least one body part to a plurality of virtual images derived from computed tomography (CT) images to identify a subgroup of the plurality of previously acquired images of the patient's at least one body part;
registering the location of the sensor relative to the subgroup of the plurality of previously acquired images of the patient's at least one body part based on the location data;
updating the registered location of the sensor based on one or more images selected from the subgroup; and
displaying the one or more images selected from the subgroup.
15. The method of claim 14 , wherein the registered location is updated based on a single image and the single image is displayed.
16. The method of claim 14 , wherein generating location data includes recording a shape of a segment of an airway and identifying a segment in a 3D model of lungs that corresponds to the shape of the recorded segment.
17. The method of claim 16 , further comprising converting a plurality of computed tomography (CT) images of the lungs into a series of digitally-identified branches to develop the 3D model of the lungs.
18. The method of claim 14 , wherein the sensor is an electromagnetic sensor and generating location data includes sensing electromagnetic fields.
19. The method of claim 14 , wherein the plurality of previously acquired images are a plurality of virtual images derived from computer tomography (CT) images stored in a memory, and a virtual image matching an image acquired by an endoscope associated with the sensor defines a subset of the plurality of virtual images corresponding to a vicinity of the sensor.