Systems and methods for anatomical segmentation
A method includes receiving a three-dimensional image dataset of a surgical site of a patient. The method also includes segmenting one or more anatomical features of the surgical site based on the three-dimensional image dataset. The method also includes receiving a two-dimensional image of the surgical site of the patient and registering the two-dimensional image to an image from the three-dimensional image dataset. The method also includes displaying a two-dimensional representation of the segmented one or more anatomical features based on the registered two-dimensional image and the image from the three-dimensional image dataset.
1. A method comprising:
receiving a three-dimensional image dataset of a surgical site of a patient;
segmenting one or more anatomical features of the surgical site based on the three-dimensional image dataset;
receiving a two-dimensional image of the surgical site of the patient and registering the two-dimensional image to an image from the three-dimensional image dataset; and
displaying a two-dimensional representation of the segmented one or more anatomical features based on the registered two-dimensional image and the image from the three-dimensional image dataset,
wherein the segmenting is automatic spinal canal extraction and includes preprocessing of a spinal canal in an axial plane and determining a morphology of the spinal canal in each axial slice of the three-dimensional image dataset.
2. The method of claim 1 , segmenting the one or more anatomical features of the surgical site based on the three-dimensional image dataset includes identifying one or more vertebrae and separating the identified one or more vertebrae from the three-dimensional image dataset.
3. The method of claim 2 , wherein registering the two-dimensional image to an image from the three-dimensional image dataset the method includes:
generating one or more three-dimensional image datasets corresponding to the separated identified one or more vertebrae; and
registering the two-dimensional image to an image from the generated one or more three-dimensional image datasets.
4. The method of claim 3 , wherein registering the two-dimensional image to an image from the three-dimensional image dataset the method includes:
generating one or more three-dimensional image datasets corresponding to the separated identified one or more vertebrae;
combining two or more three-dimensional image datasets from the generated one or more three-dimensional image datasets; and
registering the two-dimensional image to an image from the combined two or more three-dimensional image datasets.
5. The method of claim 1 , wherein displaying the two-dimensional representation of the segmented one or more anatomical features based on the registered two-dimensional image and the image from the three-dimensional image dataset includes:
displaying a plurality of two-dimensional representations of a single vertebra.
6. The method of claim 1 , wherein displaying the two-dimensional representation of the segmented one or more anatomical features based on the registered two-dimensional image and the image from the three-dimensional image dataset includes:
displaying a plurality of two-dimensional representations of a plurality of vertebrae.
7. The method of claim 1 , wherein the one or more anatomical features includes one or more vertebrae, wherein registering the two-dimensional image to an image from the three-dimensional image dataset the method includes:
receiving a user input corresponding to information related to the one or more vertebrae.
8. The method of claim 1 , wherein the surgical site includes at least a portion of the spine of the patient, segmenting the one or more anatomical features of the surgical site based on the three-dimensional image dataset includes identifying one or more spinals levels within the three-dimensional image dataset.