Abstract: Disclosed is a medical imaging conversion method, automatically converting: at least one or more real x-ray images of a patient, including at least a first anatomical structure of the patient and a second anatomical structure of the patient, into at least one digitally reconstructed radiograph (DRR) of the patient representing the first anatomical structure without representing the second anatomical structure, by a single operation using either one convolutional neural network (CNN) or a group of convolutional neural networks (CNN) which is preliminarily trained to, both or simultaneously: differentiate the first anatomical structure from the second anatomical structure, and convert a real x-ray image into at least one digitally reconstructed radiograph (DRR).

Abstract: There is described a system, method, and computer-readable medium having stored thereon executable program code for generating a final Cobb angle prediction for idiopathic scoliosis, the method comprising: receiving patient-specific 3D morphological spine parameters, a selected curve type, and a selected skeletal maturity; applying the patient-specific 3D morphological spine parameters, a selected curve type, and a selected skeletal maturity to a predictive model based on 3D morphological spine parameters, curve type, and skeletal maturity, and generating the final Cobb angle prediction by modeling a progression curve of the idiopathic scoliosis.

Abstract: The present document describes an apparatus and method for identifying and characterizing a problem of a knee joint. In accordance with an embodiment, the method comprises receiving biomechanical data from sensors and generating a biomechanical profile based on the biomechanical data, the biomechanical data being representative of a movement of the knee joint. The method also involves, in a processing device, classifying the biomechanical profile of the knee joint in one of multiple classes of knee joint problems by applying a pattern recognition technique to a normative biomechanical profile associated to the one of the multiple classes, each one of the multiple classes corresponding to at least one knee joint problem; based on the classifying, identifying the problem as comprising the at least one knee joint problem of the one of the multiple classes; and archiving the problem identified in a storing device to make the problem accessible during consultation.

Abstract: The present document describes a method for producing a knee joint treatment plan and/or surgery plan for a patient, the method comprising: obtaining 3D kinematic data of the knee joint in movement; determining, from the 3D kinematic data, scores characterizing the joint function of the patient, the one or more scores being relative to one or more criteria; and comparing the scores to data in a database which characterize a plurality of treatment plans and/or surgery plans to generate the list of one or more treatment plans and/or surgery plans which match the scores.

Abstract: There is described a system, method, and computer-readable medium having stored thereon executable program code for generating a final Cobb angle prediction for idiopathic scoliosis, the method comprising: receiving patient-specific 3D morphological spine parameters, a selected curve type, and a selected skeletal maturity; applying the patient-specific 3D morphological spine parameters, a selected curve type, and a selected skeletal maturity to a predictive model based on 3D morphological spine parameters, curve type, and skeletal maturity, and generating the final Cobb angle prediction by modeling a progression curve of the idiopathic scoliosis.

Abstract: Method for reconstruction of a three-dimensional model of a body structure of a subject, said structure comprising a plurality of objects, wherein a database (21) of the structure is provided, the database comprising means to estimate, from a parameter of any object of the structure, another parameter for an object of the structure, a preliminary solution for a first object (L1) is modified to be brought in concordance with subject-specific data (23a, 23b), a reconstruction of the second object (T12) is obtained based on the modified first object and on the database of structure (21).

Abstract: The present document describes an apparatus and method for identifying and characterizing a problem of a knee joint. In accordance with an embodiment, the method comprises receiving biomechanical data from sensors and generating a biomechanical profile based on the biomechanical data, the biomechanical data being representative of a movement of the knee joint. The method also involves, in a processing device, classifying the biomechanical profile of the knee joint in one of multiple classes of knee joint problems by applying a pattern recognition technique to a normative biomechanical profile associated to the one of the multiple classes, each one of the multiple classes corresponding to at least one knee joint problem; based on the classifying, identifying the problem as comprising the at least one knee joint problem of the one of the multiple classes; and archiving the problem identified in a storing device to make the problem accessible during consultation.

Abstract: A harness for attachment about a knee femur of a subject, said harness comprising two abutment members, said abutment members being oriented against a skin outer surface at predetermined medial and lateral sites relative to a femur so as not to limit motion of the knee, and a strap operatively interconnecting the two abutment members such that the harness is adapted to be used on different knee sizes with the strap surrounding the knee and with the abutment members being urged against the skin outer surface at the predetermined medial and lateral sites by the strap, at least one of the abutment members supporting at least one femoral trackable member adapted to be tracked. The harness may be used for the pivot shift test.

Abstract: Method for reconstruction of a three-dimensional model of an osteo-articular structure of a patient, wherein a) bi-dimensional patient-specific image data (41) of said structure is provided; (d) a preliminary solution, corresponding to a previously established solution model of the structure, is provided (42) from a base (21), said preliminary solution comprising a priori knowledge of the corresponding structure, previously established from structures of the same type, said preliminary solution comprising surface data describing the coordinates of the surface of the solution model, and bulk data describing at least one characteristic of the inside of the solution model; the preliminary solution is modified (42?, 43, 44, 46, 47, 48) to be brought in concordance with said patient-specific image data.

Abstract: Method for radiographic imaging, in particular for measuring the bone mineral density of an osseous body, this method involving an operation which consists in determining the value of a composite index using, on the one hand, digitized radiological data, and, on the other hand, a three-dimensional generic model of said osseous body.

Abstract: Method for reconstruction of a three-dimensional model of a body structure of a subject, said structure comprising a plurality of objects, wherein a database (21) of the structure is provided, the database comprising means to estimate, from a parameter of any object of the structure, another parameter for an object of the structure, a preliminary solution for a first object (L1) is modified to be brought in concordance with subject-specific data (23a, 23b), a reconstruction of the second object (T12) is obtained based on the modified first object and on the database of structure (21).

Abstract: A radiographic imaging method for three-dimensional reconstruction in which the three-dimensional shape of a model representing an object is calculated from a geometrical model of the object that is known a priori, and obtained from a confinement volume of the object estimated from a geometrical pattern visible in two images and from knowledge of the positions of the sources. A geometrical model is used that comprises information making it possible using an estimator for the object to establish a geometrical characteristic for the model representing the object.

Abstract: A method for creating a frame of reference of a leg of a subject for subsequent 3-D kinematic analysis of the leg with non-invasive trackable references secured to the femur and the tibia of the leg. The method comprises the steps of: i) obtaining tibial and femoral axes with respect to the trackable references by tracking points and motions of the leg; ii) registering a known posture of the subject with respect to the trackable references; iii) obtaining a desired posture of the subject with respect to the trackable references as a function of the known posture by tracking a predetermined motion of the leg; and iv) setting a frame of reference to said tibial and femoral axes of the leg in the desired posture of the subject with respect to the trackable references.

Abstract: A method for segmenting elements on an image, comprising: i) creating an active contour from at least one identified point on the image; ii) defining a reference intensity value from the pixels of the active contour; iii) simplifying the image by comparing the pixels of the image to the reference intensity value to give a propagation value to the pixels of the image; and iv) propagating the active contour in a selected one of an expansion/contraction direction as a function of the propagation value of the pixels adjacent to the active contour in the image; wherein ii), iii) and iv) are repeated in the selected direction whereby the active contour finally represents the element segmented in the image.

Abstract: A method for producing models of fibrous structure of fibrous tissue comprises obtaining a sequence of two-dimensional ultrasound images along the fibrous tissue. A three-dimensional model of an external portion of the fibrous tissue is created using the two-dimensional ultrasound images. Selected fibrous structure data is segmented from the two-dimensional ultrasound images. A three-dimensional model of the fibrous tissue is created with the fibrous structure by combining the three-dimensional model of the external portion of the fibrous tissue with the selected fibrous structure data.

Abstract: A harness for attachment about a knee femur and comprised of a rigid and non-flexible frame support two resiliently mounted clamping means and sensors is described for the non-invasive measurement of knee motion and its analysis in 3-D is described. The clamping means elements are urged under pressure outwardly for application against a skin outer surface at predetermined medial and lateral sites relative to a femur. A non-resilient adjustable stabilizing element is connected to the rigid frame and disposed at a predetermined location with respect to the medial clamping element in spaced relationship therewith and adjustable for clamping contact on a skin outer surface and in alignment with the center of a medial condyle of the femur whereby to stabilize the rigid frame about a knee. An attachment rod is secured to the harness and has straps for securing the rod above the knee.

Abstract: A system and method for evaluating the tridimensional kinematics of the knee is presented wherein the system comprises a gesture-guiding apparatus designed to guide a patient through a repeatable, consistent and standardized motion in view of evaluating the condition of the patient's knees. A hack squatting motion, which generally involves a substantially linear vertical squatting motion of the body, is used to isolate the leg and knee movements and increase repeatability. The patient's upper body is generally stabilized and optionally constrained such that a standardized orientation and alignment thereof is maintained throughout the motion. The patient's feet may also be stabilized and constrained. Motion resistance settings may be provided using a set of adjustable weights and counterweights to accommodate various patients and patient conditions.

Abstract: Method for radiographic imaging, in particular for measuring the bone mineral density of an osseous body, this method involving an operation which consists in determining the value of a composite index using, on the one hand, digitized radiological data, and, on the other hand, a three-dimensional generic model of said osseous body.

Abstract: A method for creating a frame of reference of a leg of a subject for subsequent 3-D kinematic analysis of the leg with non-invasive trackable references secured to the femur and the tibia of the leg. The method comprises the steps of: i) obtaining tibial and femoral axes with respect to the trackable references by tracking points and motions of the leg; ii) registering a known posture of the subject with respect to the trackable references; iii) obtaining a desired posture of the subject with respect to the trackable references as a function of the known posture by tracking a predetermined motion of the leg; and iv) setting a frame of reference to said tibial and femoral axes of the leg in the desired posture of the subject with respect to the trackable references.

Abstract: An orthopedic magnetic resonance imaging system is disclosed. This system includes a source of magnetic resonance imaging data sets resulting from successive magnetic resonance imaging acquisitions from a diseased joint of a patient. A segmentation module segments surfaces in the joint based on information contained within at least one of the data sets, and a registration module spatially registers, in three dimensions, information represented by a first of the data sets with respect to information represented by one or more further data sets for the same patient. A comparison module detects differences between information represented by the data sets caused by progression of the disease in the joint of the patient between acquisitions. A cross-patient comparison module can compare detected differences for the patient with detected differences for at least one other patient.