Noninvasive diagnostic system
AssigneeJointVue, LLC
InventorsMohamed R. Mahfouz, Ray C. Wasielewski, Richard D. Komistek
Life of this patent
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Abstract
A method for diagnosing a joint condition includes in one embodiment: creating a 3d model of the patient specific bone; registering the patient's bone with the bone model; tracking the motion of the patient specific bone through a range of motion; selecting a database including empirical mathematical descriptions of the motion of a plurality actual bones through ranges of motion; and comparing the motion of the patient specific bone to the database.
Claims16
A method of analyzing motion of a patient's joint, the method comprising:
- creating a 3D joint model of the patient's joint from an ultrasound scan of the patient's joint, the patient's joint including at least two bones repositionable with respect to one another across a range of motion;
- attaching one or more inertia based sensors near a patient's joint;
- registering the patient's joint with the 3D joint model;
- and,
- non-invasively tracking the motion of the patient's joint through the range of motion and displaying the 3D joint model to replicate the motion tracked.
A method of analyzing motion of a patient's joint, the method comprising:
- registering the patient's joint with a patient-specific 3D joint model;
- non-invasively tracking weight bearing motion of the patient's joint through a range of motion using one or more inertia based sensors;
- and,
- displaying, in real-time, the patient-specific 3D joint model reflecting movement of the patient's joint movement through the range of motion while being tracked.
A method of analyzing motion of a patient's joint, the method comprising:
- non-invasively attaching an inertial sensor near a patient's joint;
- registering the patient's joint with a patient-specific 3D joint model using an ultrasound transducer;
- wirelessly receiving data from the inertial sensor while the patient's joint is moved through a weight bearing range of motion;
- and,
- displaying, in real-time, the patient-specific 3D joint model reflecting movement of the patient's joint movement through the range of motion while being tracked.
Dependencies are inferred from the claim text.