Abstract: A method of computer visualization of removal of material from an object by a tool during a procedure includes tracking poses of the tool as the tool removes material from the object, performing a constructive solid geometry (CSG) operation using a model of the object, a plan for the removal of the material from the object, and an accumulation of the tracked poses of the tool, generating a two dimensional image of the object based on a result of the CSG operation, and handling movement of the tool by updating the two dimensional image via an update of only a changed sub-volume of the accumulation of the tracked poses.

Abstract: A method of computer visualization of removal of material from an object by a tool during a procedure includes tracking poses of the tool as the tool removes material from the object, performing a constructive solid geometry (CSG) operation using a model of the object, a plan for the removal of the material from the object, and an accumulation of the tracked poses of the tool, generating a two dimensional image of the object based on a result of the CSG operation, and handling movement of the tool by updating the two dimensional image via an update of only a changed sub-volume of the accumulation of the tracked poses.

Abstract: A method for providing surgical navigation includes tracking poses of a surgical tool as the surgical tool modifies a bone and performing a constructive solid geometry (CSG) operation using a model of the bone and an accumulation of the tracked poses of the surgical tool. An intersection of the accumulation of the tracked poses with the model of the bone corresponds to a modification of the bone by the surgical tool. The method also includes displaying an image based on a result of the CSG operation.

Abstract: A method for providing surgical navigation includes tracking poses of a surgical tool as the surgical tool modifies a bone and performing a constructive solid geometry (CSG) operation using a model of the bone and an accumulation of the tracked poses of the surgical tool. An intersection of the accumulation of the tracked poses with the model of the bone corresponds to a modification of the bone by the surgical tool. The method also includes displaying an image based on a result of the CSG operation.

Abstract: A system for surgical navigation includes a surgical tool, a tracking device configured to track poses of the surgical tool relative to an anatomical object, and a computer. The computer is programmed to perform a constructive sold geometry (CSG) operation using a model of the anatomical object and an accumulation of the tracked poses of the surgical tool relative to the anatomical object and generate a 2D image based on a result of the CSG operation and a viewpoint of a virtual camera by shading fragments of the 2D image based on the result of the CSG operation and the viewpoint of the virtual camera. The CSG operation is independent of the viewpoint of the virtual camera.

Abstract: A system for surgical navigation includes a surgical tool, a tracking device configured to track poses of the surgical tool relative to an anatomical object, and a computer. The computer is programmed to perform a constructive sold geometry (CSG) operation using a model of the anatomical object and an accumulation of the tracked poses of the surgical tool relative to the anatomical object and generate a 2D image based on a result of the CSG operation and a viewpoint of a virtual camera by shading fragments of the 2D image based on the result of the CSG operation and the viewpoint of the virtual camera. The CSG operation is independent of the viewpoint of the virtual camera.

Abstract: A computer-implemented method for providing a visual representation of material removal from an object by a cutting tool during a cut procedure is described. The method may comprise tracking consecutive cuts a cut trajectory of the cutting tool during the cut procedure, shape sweeping the consecutive poses of the cutting tool, and, for example, accumulating a union of the cut trajectory in a voxelized constructive solid geometry (CSG) grid to produce an object space representation of the union of the cut trajectory. The computer-implemented method may further comprise performing a CSG operation on object space representation of the union of the cut trajectory and a model of the object, and displaying a result of the CSG operation at a display screen.

Abstract: A volume of interest is ultrasonically imaged. An object of interest is automatically located from a volume scan. In one approach, a geometric bounding box surrounding the object is found by a classifier. In another approach, an option for zooming to the object is indicated to the user. A scan region is defined around the object or the bounding box automatically, whether in response to user selection of the option or not. The scan region is shaped based on the ultrasound scan format, but is smaller than the volume. The volume of interest defined by the scan region is used to generate images with a greater temporal and/or spatial resolution than scanning of the entire original volume.

Abstract: A computer-implemented method for providing a visual representation of material removal from an object by a cutting tool during a cut procedure is described. The method may comprise tracking consecutive cuts a cut trajectory of the cutting tool during the cut procedure, shape sweeping the consecutive poses of the cutting tool, and, for example, accumulating a union of the cut trajectory in a voxelized constructive solid geometry (CSG) grid to produce an object space representation of the union of the cut trajectory. The computer-implemented method may further comprise performing a CSG operation on object space representation of the union of the cut trajectory and a model of the object, and displaying a result of the CSG operation at a display screen.

Abstract: A volume of interest is ultrasonically imaged. An object of interest is automatically located from a volume scan. In one approach, a geometric bounding box surrounding the object is found by a classifier. In another approach, an option for zooming to the object is indicated to the user. A scan region is defined around the object or the bounding box automatically, whether in response to user selection of the option or not. The scan region is shaped based on the ultrasound scan format, but is smaller than the volume. The volume of interest defined by the scan region is used to generate images with a greater temporal and/or spatial resolution than scanning of the entire original volume.

Abstract: A method and system for non-invasive hemodynamic assessment of aortic coarctation from medical image data, such as magnetic resonance imaging (MRI) data is disclosed. Patient-specific lumen anatomy of the aorta and supra-aortic arteries is estimated from medical image data of a patient, such as contrast enhanced MRI. Patient-specific aortic blood flow rates are estimated from the medical image data of the patient, such as velocity encoded phase-contrasted MRI cine images. Patient-specific inlet and outlet boundary conditions for a computational model of aortic blood flow are calculated based on the patient-specific lumen anatomy, the patient-specific aortic blood flow rates, and non-invasive clinical measurements of the patient. Aortic blood flow and pressure are computed over the patient-specific lumen anatomy using the computational model of aortic blood flow and the patient-specific inlet and outlet boundary conditions.

Abstract: For cloud-based computer assisted detection, hierarchal detection is used, allowing detection on data at progressively greater resolutions. Detected locations at coarser resolutions are used to limit the data transmitted at greater resolutions. Data is only transmitted for neighborhoods around the previously detected locations. Subsequent detection using higher resolution data refines the locations, but only for regions associated with previous detection. By limiting the number and/or size of regions provided at greater resolutions based on the previous detection, the progressive transmission avoids transmission of some data. Additionally, or alternatively, lossy compression may be used without or with minimal reduction in detection sensitivity.

Abstract: A method and system for non-invasive hemodynamic assessment of aortic coarctation from medical image data, such as magnetic resonance imaging (MRI) data is disclosed. Patient-specific lumen anatomy of the aorta and supra-aortic arteries is estimated from medical image data of a patient, such as contrast enhanced MRI. Patient-specific aortic blood flow rates are estimated from the medical image data of the patient, such as velocity encoded phase-contrasted MRI cine images. Patient-specific inlet and outlet boundary conditions for a computational model of aortic blood flow are calculated based on the patient-specific lumen anatomy, the patient-specific aortic blood flow rates, and non-invasive clinical measurements of the patient. Aortic blood flow and pressure are computed over the patient-specific lumen anatomy using the computational model of aortic blood flow and the patient-specific inlet and outlet boundary conditions.

Abstract: For cloud-based computer assisted detection, hierarchal detection is used, allowing detection on data at progressively greater resolutions. Detected locations at coarser resolutions are used to limit the data transmitted at greater resolutions. Data is only transmitted for neighborhoods around the previously detected locations. Subsequent detection using higher resolution data refines the locations, but only for regions associated with previous detection. By limiting the number and/or size of regions provided at greater resolutions based on the previous detection, the progressive transmission avoids transmission of some data. Additionally, or alternatively, lossy compression may be used without or with minimal reduction in detection sensitivity.