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 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: 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 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 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: 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.

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.

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.

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.

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.