Abstract:
A method and system for calculating a volume of resected tissue from a stream of intraoperative images is disclosed. A stream of 2D/2.5D intraoperative images of resected tissue of a patient is received. The 2D/2.5D intraoperative images in the stream are acquired at different angles with respect to the resected tissue. A resected tissue surface is segmented in each of the 2D/2.5D intraoperative images. The segmented resected tissue surfaces are stitched to generate a 3D point cloud representation of the resected tissue surface. A 3D mesh representation of the resected tissue surface is generated from the 3D point cloud representation of the resected tissue surface. The volume of the resected tissue is calculated from the 3D mesh representation of the resected tissue surface.
Abstract:
A computer-implemented method of performing registration of preoperative and intraoperative image data includes receiving a first three-dimensional model of an anatomical area of interest derived from one or more image volumes acquired in a preoperative setting and acquiring images of the anatomical area of interest in an operative setting using an intraoperative image acquisition device. A second three-dimensional model of the anatomical area of interest is generated using the images. Next, the first three-dimensional model is aligned with the second three-dimensional model using a rigid registration process. Then, an iterative deformable registration process is performed to further align the two three-dimensional models. This iterative deformable registration process may include, for example, computing a generative mixture model representative of the second three-dimensional model, using the generative mixture model to derive physical force vectors, and biomechanically deforming the first three-dimensional model toward the second three-dimensional model using the physical force vectors.
Abstract:
Intraoperative camera data is registered with medical scan data. The same salient features are located in both the medical scan data and the model from the camera data. The features are specifically labeled rather than just being represented by the data. At least an initial rigid registration is performed using the salient features. The coordinate systems of the camera and the medical scan data are aligned without external positions sensors for the intraoperative camera.
Abstract:
A projector in an endoscope is used to project visible light onto tissue. The projected intensity, color, and/or wavelength vary by spatial location in the field of view to provide an overlay. Rather than relying on a rendered overlay alpha-blended on a captured image, the illumination with spatial variation physically highlights one or more regions of interest or physically overlays on the tissue.
Abstract:
A method and system for registration of 2D/2.5D laparoscopic or endoscopic image data to 3D volumetric image data is disclosed. A plurality of 2D/2.5D intra-operative images of a target organ are received, together with corresponding relative orientation measurements for the intraoperative images. A 3D medical image volume of the target organ is registered to the plurality of 2D/2.5D intra-operative images by calculating pose parameters to match simulated projection images of the 3D medical image volume to the plurality of 2D/2.5D intra-operative images, and the registration is constrained by the relative orientation measurements for the intra-operative images.