Abstract: An imaging system can include a cone beam tomosynthesis imaging system configured to create a 3D image of a patient anatomy upon an initiation input. The system can also include at least one memory device that has instructions that, when executed by at least one processor, cause the tomosynthesis imaging system to execute multiple actions including obtain the 3D image from the tomosynthesis imaging system; obtain a prior 3D image of the patient anatomy; and register the 3D image with the prior 3D image to produce a composite 3D image. The navigation system can further include an interface system which accepts the initiation input to obtain the 3D image and renders at least a portion of the composite 3D image for review by a supervisor.

Abstract: Imaging systems comprising x-ray image reconstruction systems combined with optical imaging and/or tracking systems. In some embodiments, the imaging system may comprise an x-ray image reconstruction system configured to generate three-dimensional image data of at least an internal portion of a target object under a surface of the target object and a three-dimensional optical imaging system configured to reconstruct an image of at least a portion of the surface of the target object by generating surface three-dimensional image data. The three-dimensional optical imaging system may be registered to the x-ray tomosynthesis image reconstruction system such that three-dimensional image data from the x-ray tomosynthesis image reconstruction system and three-dimensional image data from the three-dimensional optical imaging system may be used as a constraint to improve image quality of an image of the target object.

Abstract: The present technology relates to an imaging system. The imaging system can comprise at least one processor configured to apply a projection precomputation algorithm and an x-ray tomography image reconstruction system. The projection precomputation algorithm can be configured to: generate a projection operator matrix that can be used to calculate a plurality of voxels from a plurality of projection measurements before the plurality of projection measurements is acquired and store the projection operator matrix in memory. The projection operator matrix can be at least one of: a compressed matrix, a multi-iteration projection operator matrix, and a combination thereof. The x-ray tomography image reconstruction system can be configured to apply the projection operator matrix to generate a reconstructed three-dimensional image of at least an internal portion of a selected object under a surface of the selected object when the plurality of projection measurements is acquired.

Abstract: A non-rigid anatomy reference system can include reference markers that are rigidly attachable to separate bodies of rigid tissue connected through flexible tissue in a region of a patient forming a marker array. A tracking system can acquire movement data of the reference markers as a function of time and position. A processor can be configured to: receive the movement data, where an individual reference marker has a first number of degrees of freedom less than 6 and a second reference marker having a second number of degrees of freedom; track the marker array as a whole with a total number of degrees of freedom greater than the first and the second number; and produce an updated image of the region of the patient to maintain registration to a prior image of the region and the tracked movement of the reference markers via the function.

Abstract: The present technology relates to an imaging system. The imaging system can comprise at least one processor configured to apply a projection precomputation algorithm and an x-ray tomography image reconstruction system. The projection precomputation algorithm can be configured to: generate a projection operator matrix that can be used to calculate a plurality of voxels from a plurality of projection measurements before the plurality of projection measurements is acquired and store the projection operator matrix in memory. The projection operator matrix can be at least one of: a compressed matrix, a multi-iteration projection operator matrix, and a combination thereof. The x-ray tomography image reconstruction system can be configured to apply the projection operator matrix to generate a reconstructed three-dimensional image of at least an internal portion of a selected object under a surface of the selected object when the plurality of projection measurements is acquired.

Abstract: A system and method for reconstructing an image of a target object using an iterative reconstruction technique can include a machine learning model as a regularization filter (100). An image data set for a target object generated using an imaging modality can be received, and an image of the target object can be reconstructed using an iterative reconstruction technique that includes a machine learning model as a regularization filter (100) used in part to reconstruct the image of the target object. The machine learning model can be trained prior to receiving the image data using learning datasets that have image data associated with the target object, where the learning datasets providing objective data for training the machine learning model, and the machine learning model can be included in the iterative reconstruction technique to introduce the object features into the image of the target object being reconstructed.

Abstract: A technology for reconstructing an image of a three-dimensional object. In one example, a projection image dataset can be obtained from an imaging data detector and a reduced image dataset that has a lower quantity of data as compared to a quantity of data of the projection image dataset can be generated from the projection image dataset. An image remainder dataset can be generated to indicate an image difference between the projection image dataset and the reduced image dataset. A first scale image reconstruction of the three-dimensional object can be generated using the reconstruction technique and the reduced image dataset, and a second scale image reconstruction of the three-dimensional object can be generated using the iterative reconstruction technique and the image remainder dataset.

Abstract: Imaging systems comprising x-ray image reconstruction systems combined with optical imaging and/or tracking systems. In some embodiments, the imaging system may comprise an x-ray image reconstruction system configured to generate three-dimensional image data of at least an internal portion of a target object under a surface of the target object and a three-dimensional optical imaging system configured to reconstruct an image of at least a portion of the surface of the target object by generating surface three-dimensional image data. The three-dimensional optical imaging system may be registered to the x-ray tomosynthesis image reconstruction system such that three-dimensional image data from the x-ray tomosynthesis image reconstruction system and three-dimensional image data from the three-dimensional optical imaging system may be used as a constraint to improve image quality of an image of the target object.

Abstract: Imaging systems comprising x-ray image reconstruction systems combined with optical imaging and/or tracking systems. In some embodiments, the imaging system may comprise an x-ray image reconstruction system configured to generate three-dimensional image data of at least an internal portion of a target object under a surface of the target object and a three-dimensional optical imaging system configured to reconstruct an image of at least a portion of the surface of the target object by generating surface three-dimensional image data. The three-dimensional optical imaging system may be registered to the x-ray tomosynthesis image reconstruction system such that three-dimensional image data from the x-ray tomosynthesis image reconstruction system and three-dimensional image data from the three-dimensional optical imaging system may be used as a constraint to improve image quality of an image of the target object.

Abstract: A system for assisting a surgeon in placing at least one ablation device into a treatment region of a patient, where the system includes at least one computer system having a display, a user interface and software, is described. The system uses patient image data of the treatment region to generate an image of the treatment region on the display and identifies the treatment region to ablate with a target. Tissue properties of the treatment region are identified and used to perform thermal modeling. Treatment parameters are generated and an ablation zone is calculated. A computer system display is generated showing (a) the number of ablation devices required to ablate the treatment region and the location and orientation of each ablation device in the treatment region and (b) the ablation zone.

Abstract: A system and method for reconstructing an image of a target object using an iterative reconstruction technique can include a machine learning model as a regularization filter (100). An image data set for a target object generated using an imaging modality can be received, and an image of the target object can be reconstructed using an iterative reconstruction technique that includes a machine learning model as a regularization filter (100) used in part to reconstruct the image of the target object. The machine learning model can be trained prior to receiving the image data using learning datasets that have image data associated with the target object, where the learning datasets providing objective data for training the machine learning model, and the machine learning model can be included in the iterative reconstruction technique to introduce the object features into the image of the target object being reconstructed.

Abstract: A technology for reconstructing an image of a three-dimensional object. In one example, a projection image dataset can be obtained from an imaging data detector and a reduced image dataset that has a lower quantity of data as compared to a quantity of data of the projection image dataset can be generated from the projection image dataset. An image remainder dataset can be generated to indicate an image difference between the projection image dataset and the reduced image dataset. A first scale image reconstruction of the three-dimensional object can be generated using the reconstruction technique and the reduced image dataset, and a second scale image reconstruction of the three-dimensional object can be generated using the iterative reconstruction technique and the image remainder dataset.

Abstract: Imaging systems and methods for rapidly generating reconstruction image data of an object while allowing access to the object during imaging. In some embodiments, the system may comprise at least one radiation source that moves along a path, which path may be defined by an enclosed gantry, and emits radiation toward at least one radiation detector. The radiation source(s) and the radiation detector may be positioned such that at least a portion of an object, such as a portion of a patient's anatomy, can be positioned in between the plurality of radiation sources and the radiation detector to facilitate generation of the reconstruction image data.

Abstract: In one aspect of the present technique, a method for selecting between a plurality of electromagnetic sensors to correct for one or more field distortions includes, in the presence of an electromagnetic field, acquiring signals representative of the location of a plurality of electromagnetic sensors. The method further includes selecting between the signals from the plurality of electromagnetic sensors based on one or more quality metrics. In another aspect of the present technique, a system for selecting an optimum EM sensor to correct for one or more field distortions includes a plurality of EM sensors and an additional EM sensor for transmitting or receiving signals representative of the location of each of the plurality of EM sensors. The system further includes a controller configured to acquire signals representative of the location of the plurality of EM sensors, and select between the signals from the plurality of EM sensors based on one or more quality metrics.

Abstract: Imaging systems and methods for rapidly generating reconstruction image data of an object while allowing access to the object during imaging. In some embodiments, the system may comprise at least one radiation source that moves along a path, which path may be defined by an enclosed gantry, and emits radiation toward at least one radiation detector. The radiation source(s) and the radiation detector may be positioned such that at least a portion of an object, such as a portion of a patient's anatomy, can be positioned in between the plurality of radiation sources and the radiation detector to facilitate generation of the reconstruction image data.

Abstract: A system for assisting a surgeon in placing at least one ablation device into a treatment region of a patient, where the system includes at least one computer system having a display, a user interface and software, is described. The system uses patient image data of the treatment region to generate an image of the treatment region on the display and identifies the treatment region to ablate with a target. Tissue properties of the treatment region are identified and used to perform thermal modeling. Treatment parameters are generated and an ablation zone is calculated. A computer system display is generated showing (a) the number of ablation devices required to ablate the treatment region and the location and orientation of each ablation device in the treatment region and (b) the ablation zone.

Abstract: Imaging systems comprising x-ray image reconstruction systems combined with optical imaging and/or tracking systems. In some embodiments, the imaging system may comprise an x-ray image reconstruction system configured to generate three-dimensional image data of at least an internal portion of a target object under a surface of the target object and a three-dimensional optical imaging system configured to reconstruct an image of at least a portion of the surface of the target object by generating surface three-dimensional image data. The three-dimensional optical imaging system may be registered to the x-ray tomosynthesis image reconstruction system such that three-dimensional image data from the x-ray tomosynthesis image reconstruction system and three-dimensional image data from the three-dimensional optical imaging system may be used as a constraint to improve image quality of an image of the target object.

Abstract: Certain embodiments of the present invention provide systems and methods for virtual implant review. Certain embodiments provide a method for virtual implant review. The method includes registering a two-dimensional image and a three-dimensional image. The method includes detecting an implant or instrument in the two-dimensional image. The method also includes performing an initial implant registration of the implant or instrument with respect to the three dimensional image based on navigation information and refining the initial implant registration based on image data analysis to generate a refined implant registration. Additionally, the method includes displaying a representation of the implant or instrument with respect to the three-dimensional image based on the refined image registration and the refined implant registration.

Abstract: Certain embodiments of the present invention provide systems and methods of improved medical device navigation. Certain embodiments include acquiring a first image of a patient anatomy, a second image of patient anatomy, and creating a registered image based on the first and second images. Certain preferred embodiments teach systems and methods of automated image registration without the use of fiducial markers, headsets, or manual registration. Thus the embodiments teach a simplified method of image registration that allows a medical device to be navigated within a patient anatomy. Furthermore, the embodiments teach navigating a medical device in a patient anatomy with reduced exposure to ionizing radiation. Additionally, the improved systems and methods of image registration provide for improved accuracy of the registered images.

Abstract: In one aspect of the present technique, a method for selecting between a plurality of electromagnetic sensors to correct for one or more field distortions includes, in the presence of an electromagnetic field, acquiring signals representative of the location of a plurality of electromagnetic sensors. The method further includes selecting between the signals from the plurality of electromagnetic sensors based on one or more quality metrics. In another aspect of the present technique, a system for selecting an optimum EM sensor to correct for one or more field distortions includes a plurality of EM sensors and an additional EM sensor for transmitting or receiving signals representative of the location of each of the plurality of EM sensors. The system further includes a controller configured to acquire signals representative of the location of the plurality of EM sensors, and select between the signals from the plurality of EM sensors based on one or more quality metrics.