Abstract: The present teaching relates to method, system, medium, and implementations for estimating 3D coordinate of a 3D virtual model. Two pairs of feature points are obtained. Each of the pairs includes a respective 2D feature point on an organ observed in a 2D image, acquired during a medical procedure, and a respective corresponding 3D feature point from a 3D virtual model, constructed for the organ prior to the procedure based on a plurality of images of the organ. The depths of the first and the second 3D feature points are substantially the same. A first 3D coordinate of the first 3D feature point and a second 3D coordinate of the second 3D feature point are automatically determined based on the pairs of feature points so that a first distance between the determined first 3D coordinate and the determined second 3D coordinate equals to a second distance between a first actual 3D coordinate of the first 3D feature point and a second actual 3D coordinate of the second 3D feature point in the 3D virtual model.

Abstract: A method, system, medium, and implementations for computer-aided preoperative surgical planning are described. Input data acquired with respect to a part of a patient is received by the system. The part corresponds to an organ, e.g., lung, of the patient to be operated on and includes one or more lesions to be removed during an operation. Then, an anatomic 3D model of the part of the patient is generated. Based on the generated anatomic 3D model, a preoperative plan for linear-cutting stapler resection of the one or more lesions from the organ to be carried out during the operation is obtained. The stapler cartridge size and the staple length are estimated based on the preoperative plan. Further, the resection based on the preoperative plan is visualized.

Abstract: The present teaching relates to method, system, medium, and implementations for estimating 3D coordinate of a 3D virtual model. Two pairs of feature points are obtained. Each of the pairs includes a respective 2D feature point on an organ observed in a 2D image, acquired during a medical procedure, and a respective corresponding 3D feature point from a 3D virtual model, constructed for the organ prior to the procedure based on a plurality of images of the organ. The depths of the first and the second 3D feature points are substantially the same. A first 3D coordinate of the first 3D feature point and a second 3D coordinate of the second 3D feature point are automatically determined based on the pairs of feature points so that a first distance between the determined first 3D coordinate and the determined second 3D coordinate equals to a second distance between a first actual 3D coordinate of the first 3D feature point and a second actual 3D coordinate of the second 3D feature point in the 3D virtual model.

Abstract: The present teaching relates to method, system, medium, and implementations for fusing a 3D virtual model with a 2D image associated with an organ of a patient. A key-pose is determined as an approximate position and orientation of a medical instrument with respect to the patient's organ. Based on the key-pose, an overlay is generated on a 2D image of the patient's organ, acquired by the medical instrument, by projecting the 3D virtual model on to the 2D image. A pair of feature points includes a 2D feature point from the 2D image and a corresponding 3D feature point from the 3D virtual model. The 3D coordinate of the 3D feature point is determined based on the 2D coordinate of the 2D feature point. The depth of the 3D coordinate is on a line of sight of the 2D feature point and is determined so that the projection of the 3D virtual model from the depth creates an overlay approximately matching the organ observed in the 2D image.

Abstract: The present teaching relates to method, system, medium, and implementations for estimating 3D coordinate of a 3D virtual model. Two pairs of feature points are obtained. Each of the pairs includes a respective 2D feature point on an organ observed in a 2D image, acquired during a medical procedure, and a respective corresponding 3D feature point from a 3D virtual model, constructed for the organ prior to the procedure based on a plurality of images of the organ. The first and the second 3D feature points have different depths. A 3D coordinate of a 3D feature point is determined based on the pairs of feature points so that a projection of the 3D virtual model from the 3D coordinate substantially matches the organ observed in the 2D image.

Abstract: The present teaching relates to surgical procedure planning. In one example, at least one 3D object contained in a 3D volume is rendered on a display screen. The at least one 3D object includes a 3D object corresponding to an organ. First information related to a 3D pose of a surgical instrument positioned with respect to the at least one 3D object is received from a user. A 3D representation of the surgical instrument is rendered in the 3D volume based on the first information. Second information related to a setting of the surgical instrument is received from the user. A 3D treatment zone in the 3D volume with respect to the at least one 3D object is estimated based on the first and second information. The 3D treatment zone in the 3D volume is visualized on the display screen. Controls associated with the 3D representation of the surgical instrument and/or the 3D treatment zone are provided to facilitate the user to dynamically adjust the 3D treatment zone via the controls.

Abstract: The present teaching relates to surgical procedure planning. In one example, at least one 3D object contained in a 3D volume is rendered on a display screen. The at least one 3D object includes a 3D object corresponding to an organ. First information related to a 3D pose of a surgical instrument positioned with respect to the at least one 3D object is received from a user. A 3D representation of the surgical instrument is rendered in the 3D volume based on the first information. Second information related to a setting of the surgical instrument is received from the user. A 3D treatment zone in the 3D volume with respect to the at least one 3D object is estimated based on the first and second information. The 3D treatment zone in the 3D volume is visualized on the display screen. Controls associated with the 3D representation of the surgical instrument and/or the 3D treatment zone are provided to facilitate the user to dynamically adjust the 3D treatment zone via the controls.

Abstract: Systems and methods relating to placement of an ultrasound transducer for a procedure. In a non-limiting embodiment, a 3D environment including images of a body region of a patient, as well as images including a first virtual representation of an ablation needle at a first location and a second virtual representation of an ultrasound transducer at a second location is rendered on a display device. A determination may be made as to whether the first and second virtual representations collide at a first collision point. If so, at least one parameter associated with an orientation and/or position of the second virtual representation may be adjusted. A determination may then be made as to whether or not the first and second virtual representations still collide and, in response to determining that there is no collision, position data indicating the location of the second virtual representation after the adjustment, is stored.

Abstract: A system for providing visual three dimensional assistance to a user during a medical procedure involving a soft organ. The system and method provide visual assistance to a user during a medical procedure involving a soft organ. The system and method utilize a processor for generating an image of the soft organ, a surgical instrument tracker for tracking a surgical instrument during the medical procedure, and a display in communication with the processor and the surgical instrument tracker for visually displaying in three dimensions, the image of the soft organ and the surgical instrument in relation to the soft organ.

Abstract: A method, system, medium, and implementations for computer-aided preoperative surgical planning are described. Input data acquired with respect to a part of a patient is received by the system. The part corresponds to an organ, e.g., lung, of the patient to be operated on and includes one or more lesions to be removed during an operation. Then, an anatomic 3D model of the part of the patient is generated. Based on the generated anatomic 3D model, a preoperative plan for linear-cutting stapler resection of the one or more lesions from the organ to be carried out during the operation is obtained. The stapler cartridge size and the staple length are estimated based on the preoperative plan. Further, the resection based on the preoperative plan is visualized.

Abstract: The present teaching relates to surgical procedure assistance. In one example, a first image of a patient captured prior to a surgical procedure is received. A treatment plan is generated based on the first image. The treatment plan includes information related to one or more surgical instruments. A second image of the patient captured after the surgical procedure has been initiated is received. The treatment plan is dynamically adjusted based on a pose of any of the one or more surgical instruments identified from the second image. A third image of the patient captured after a lesion is treated by at least one of the surgical instruments based on the adjusted treatment plan is received. Whether a further treatment to the lesion is needed is determined based on the third image. Upon determining a further treatment is needed, an updated treatment plan is dynamically generated based on the third image.

Abstract: Methods, systems, and programs for real-time surgical procedure assistance are provided. A first set of 3D poses of the 3D points on the organ may be received. An electronic organ map built for the organ via pre-surgical medical information may be retrieved. A tissue parameter of the organ may be obtained based on the first set of 3D poses and their corresponding 3D poses from the electronic organ map. A deformation transformation of the electronic organ map may be calculated based on the obtained tissue parameter and the first set of 3D poses during the surgical procedure. The deformed electronic organ map may be projected onto the organ with respect to the first set of 3D poses during the surgical procedure.

Abstract: The present teaching relates to interactive medical image processing for surgical procedure planning. In one example, a three dimensional (3D) image of a kidney is obtained. The three dimensional image is rendered on a display screen. An input is received from a user specifying a location with respect to a representation of the kidney in the rendered three dimensional image. A representation of an instrument is rendered on the display screen based on the location. The instrument is automatically aligned with an infundibulum pathway of calyx at the location with respect to the kidney. A graphical line extension is rendered on the display screen to visualize the alignment of the instrument. One or more measurements related to the kidney are determined based on the location and an anatomical structure of the kidney.

Abstract: The present teaching relates to method and system for aligning a virtual anatomic model. The method generates a virtual model of an organ of a patient, wherein the virtual model includes at least three virtual markers. A number of virtual spheres equal to a the number of virtual markers are generated, wherein the virtual spheres are disposed on the virtual model of the organ of the patient and associated with the virtual markers. A first position of the virtual spheres and the virtual markers is recorded. The virtual spheres are placed to coincide with physical markers disposed on the patient and a second position of the virtual spheres is recorded. A transformation of the virtual spheres and the virtual markers based on the first and second positions is computed and the virtual model of the organ is aligned with the patient based on the computed transformation.

Abstract: The present teaching relates to surgical procedure assistance. In one example, a first volume of air inside a lung is obtained based on a first image of the lung captured prior to a surgical procedure. The lung has a first shape on the first image. A second volume of air deflated from the lung is determined based on a second image of the lung captured during the surgical procedure. A second shape of the lung is estimated based on the first shape of the lung and the first air volume inside the lung and second volume of air deflated from the lung. A surgical plan is updated based on the estimated second shape of the lung.

Abstract: The success of percutaneous radiofrequency ablation mainly depends on the accuracy of the needle insertion, making it possible to destroy the whole tumor, while avoiding damages on other organs and minimizing risks of a local recurrence. This invention presents a simulated 3D environment for user to interactively place a treatment probe to a target position.

Abstract: The present teaching relates to surgical procedure assistance. In one example, a first image of an organ having a lesion is obtained prior to a surgical procedure. Information related to a pose of a surgical instrument at a first location with respect to the lesion is received from a sensor coupled with the surgical instrument. A visual environment having the lesion and the surgical instrument rendered therein is generated based on the first image and the information received from the sensor. A second image of the organ is obtained when the surgical instrument is moved to a second location with respect to the lesion during the surgical procedure. The second image captures the lesion and the surgical instrument. The pose of the surgical instrument and the lesion rendered in the visual environment are adjusted based, at least in part, on the second image.

Abstract: The present teaching relates to surgical procedure assistance. In one example, a first set of positions of a plurality of sensors are obtained in an image captured prior to a surgical procedure. The plurality of sensors are coupled with a patient's body. One or more second sets of positions of the plurality of sensors are obtained based on information from a tracking device associated with the plurality of sensors. The one or more second sets of positions change in accordance with movement of the patient's body. One or more similarity measures are calculated between the first set of positions and each of the one or more second sets of positions of the plurality of sensors. A timing at which the surgical procedure initiates is determined based on the one or more similarity measures.

Abstract: The present disclosure relates to a system and method of providing surgical assistance. The method includes obtaining a 3D space including an organ and a lesion located within the organ. Based on a shape of the organ, a grid is overlaid on a surface of the organ. The lesion is projected at a first location on an overlaid grid. A graphical tool disposed in a first orientation is positioned at the first location in the 3D space, and a plurality of parameter values of the lesion corresponding to the first orientation of the graphical tool are displayed in the 3D space. The graphical tool is manipulated to be disposed in a second orientation at a second location on the overlaid grid, and the plurality of parameter values of the lesion corresponding to the second orientation of the graphical tool are displayed in the 3D space.

Abstract: The present teaching relates to method and system for aligning a virtual anatomic model. The method generates a virtual model of an organ of a patient, wherein the virtual model includes at least three virtual markers. A number of virtual spheres equal to a the number of virtual markers are generated, wherein the virtual spheres are disposed on the virtual model of the organ of the patient and associated with the virtual markers. A first position of the virtual spheres and the virtual markers is recorded. The virtual spheres are placed to coincide with physical markers disposed on the patient and a second position of the virtual spheres is recorded. A transformation of the virtual spheres and the virtual markers based on the first and second positions is computed and the virtual model of the organ is aligned with the patient based on the computed transformation.