Abstract: Described herein are systems for 4D imaging of the lung based on live 2D ultrasound images. An ultrasound probe generates 2D image data of the lung during a plurality of breathing cycles. A computer is programmed and operable to group the 2D image data into subsets based on their point (or optionally phase) in the breathing cycle, and to reconstruct the 2D image data subsets into a 3D image volume based on the location information of the probe. Optionally, the 3D reconstructed image volume is displayed with target and route information. In embodiments, the computer is further operable to detect and track a surgical device in the lung such as an aspiration needle and to display the surgical device in the 3D reconstructed image volume for assisting the physician reach the target. Related methods are also described.

Abstract: A method for automatically planning a transthoracic route from a candidate location on the skin of a patient to a target nodule in the patient on which to perform a procedure. The method comprises identifying a plurality of candidate skin locations on the skin of the patient and automatically computing a route to the target nodule from each candidate skin location. A score is automatically computed for each candidate skin location based on (a) route characteristics, (b) procedural parameters, and (c) obstacle clearance along the route. Related systems are also described.

Abstract: A method for correcting location of a virtual target in a patient during a live procedure comprises segmenting the organ and the real target from an initial pre-procedure image data set; receiving a live procedure image data set of the patient including the organ and the real target and camera tracking information; registering the initial pre-procedure image data set and the live image data set; determining a candidate location of a virtual target for the real target based on the initial registration; generating a first image at a first view angle showing the virtual target and the real target; adjusting the candidate location of the virtual target to match the actual location of the real target in the first image; and computing a corrected location for the virtual target based on the adjusting step. Related systems are disclosed.

Abstract: A lung tumor ablation planning system includes a processor operable to compute a target ablation zone and a set of optimum ablation parameters to create the target lesion with the ablation catheter. A predictive algorithm is employed to model the ablation zone based on training data. Various ablation plans are displayed to the physician corresponding to various metrics including without limitation maximizing tumor ablation coverage, shortest travel, obstacle avoidance, and shortest ablation time. Related methods are described.

Abstract: A lung tumor ablation planning system includes a processor operable to compute a target ablation zone and a set of optimum ablation parameters to create the target lesion with the ablation catheter. A predictive algorithm is employed to model the ablation zone based on training data. Various ablation plans are displayed to the physician corresponding to various metrics including without limitation maximizing tumor ablation coverage, shortest travel, obstacle avoidance, and shortest ablation time. Related methods are described.

Abstract: This invention relates generally to medical imaging and, in particular, to a method and system for automatic lymph node station mapping, automatic path or route report generation. A computer-based system for automatically locating the central chest lymph-node stations in a 3D MDCT image is described. Automated analysis methods extract the airway tree, airway-tree centerlines, aorta, pulmonary artery, lungs, key skeletal structures, and major-airway labels. Geometrical and anatomical cues arising from the extracted structures are used to localize the major nodal stations. The system calculates and displays the nodal stations in 3D. Visualization tools within the system enable the user to interact with the stations to locate visible lymph nodes.

Abstract: This invention relates generally to medical imaging and, in particular, to a method and system for automatic lymph node station mapping, automatic path or route report generation. A computer-based system for automatically locating the central chest lymph-node stations in a 3D MDCT image is described. Automated analysis methods extract the airway tree, airway-tree centerlines, aorta, pulmonary artery, lungs, key skeletal structures, and major-airway labels. Geometrical and anatomical cues arising from the extracted structures are used to localize the major nodal stations. The system calculates and displays the nodal stations in 3D. Visualization tools within the system enable the user to interact with the stations to locate visible lymph nodes.

Abstract: This invention relates generally to medical imaging and, in particular, to a method and system for reconstructing a model path through a branched tubular organ. Novel methodologies and systems segment and define accurate endoluminal surfaces in airway trees, including small peripheral bronchi. An automatic algorithm is described that searches the entire lung volume for airway branches and poses airway-tree segmentation as a global graph-theoretic optimization problem. A suite of interactive segmentation tools for cleaning and extending critical areas of the automatically segmented result is disclosed. A model path is reconstructed through the airway tree.

Abstract: Methods and apparatus provide continuous guidance of endoscopy during a live procedure. A data-set based on 3D image data is pre-computed including reference information representative of a predefined route through a body organ to a final destination. A plurality of live real endoscopic (RE) images are displayed as an operator maneuvers an endoscope within the body organ. A registration and tracking algorithm registers the data-set to one or more of the RE images and continuously maintains the registration as the endoscope is locally maneuvered. Additional information related to the final destination is then presented enabling the endoscope operator to decide on a final maneuver for the procedure. The reference information may include 3D organ surfaces, 3D routes through an organ system, or 3D regions of interest (ROIs), as well as a virtual endoscopic (VE) image generated from the precomputed data-set.

Abstract: This invention relates generally to medical imaging and, in particular, to a method and system for reconstructing a model path through a branched tubular organ. Novel methodologies and systems segment and define accurate endoluminal surfaces in airway trees, including small peripheral bronchi. An automatic algorithm is described that searches the entire lung volume for airway branches and poses airway-tree segmentation as a global graph-theoretic optimization problem. A suite of interactive segmentation tools for cleaning and extending critical areas of the automatically segmented result is disclosed. A model path is reconstructed through the airway tree.

Abstract: Methods and apparatus provide continuous guidance of endoscopy during a live procedure. A data-set based on 3D image data is pre-computed including reference information representative of a predefined route through a body organ to a final destination. A plurality of live real endoscopic (RE) images are displayed as an operator maneuvers an endoscope within the body organ. A registration and tracking algorithm registers the data-set to one or more of the RE images and continuously maintains the registration as the endoscope is locally maneuvered. Additional information related to the final destination is then presented enabling the endoscope operator to decide on a final maneuver for the procedure. The reference information may include 3D organ surfaces, 3D routes through an organ system, or 3D regions of interest (ROIs), as well as a virtual endoscopic (VE) image generated from the precomputed data-set.