Abstract: A method for planning an arthroplasty procedure on a patient bone. The method may include accessing generic bone data stored in a memory of a computer, using the computer to generate modified bone data by modifying the generic bone data according to medical imaging data of the patient bone, using the computer to derive a location of non-bone tissue data relative to the modified bone data, and superimposing implant data and the modified bone data in defining a resection of an arthroplasty target region of the patient bone.

Abstract: A method for planning an arthroplasty procedure on a patient bone. The method may include accessing generic bone data stored in a memory of a computer, using the computer to generate modified bone data by modifying the generic bone data according to medical imaging data of the patient bone, using the computer to derive a location of non-bone tissue data relative to the modified bone data, and superimposing implant data and the modified bone data in defining a resection of an arthroplasty target region of the patient bone.

Abstract: A method for planning an arthroplasty procedure on a patient bone. The method may include accessing generic bone data stored in a memory of a computer, using the computer to generate modified bone data by modifying the generic bone data according to medical imaging data of the patient bone, using the computer to derive a location of non-bone tissue data relative to the modified bone data, and superimposing implant data and the modified bone data in defining a resection of an arthroplasty target region of the patient bone.

Abstract: A method of planning an arthroplasty procedure on a femur and tibia of a patient. The method includes receiving a first two-dimensional image of the femur and the tibia, and identifying, in the first two-dimensional image, a proximal femur feature, a distal tibia feature, and a bone contour. The method further includes running a transformation process to align a bone model representative of the femur and the tibia into a coordinate system with the first two-dimensional image, the bone model having a bone model contour that is aligned with the bone contour of the femur and the tibia in the first two-dimensional image. And the method further includes applying an implant model to the bone model in order to determine coordinate locations for the arthroplasty resection.

Abstract: A smooth mating surface model defining a mating surface of a customized arthroplasty jig is generated. For example, sagittal slices of a volumetric image of a patient bone are segmented with segmentation splines. An anatomically accurate model of the patient bone is generated from the segmentation splines. The anatomically accurate model includes anatomically accurate segmentation splines. The anatomically accurate segmentation splines are transformed into mating surface contours. Any inadequate segments of the mating surface contours are modified to obtain modified mating surface contours. A mating surface model of the patient bone is generated based on the mating surface contours and the modified mating surface contours. Three-dimensional cross-sections of the mating surface model are smoothed to generate the smooth mating surface model.

Abstract: A method of planning an arthroplasty procedure on a femur and tibia of a patient. The method includes receiving a first two-dimensional image of the femur and the tibia, and identifying, in the first two-dimensional image, a proximal femur feature, a distal tibia feature, and a bone contour. The method further includes running a transformation process to align a bone model representative of the femur and the tibia into a coordinate system with the first two-dimensional image, the bone model having a bone model contour that is aligned with the bone contour of the femur and the tibia in the first two-dimensional image. And the method further includes applying an implant model to the bone model in order to determine coordinate locations for the arthroplasty resection.

Abstract: Implementations described and claimed herein provide systems and methods for generating a smooth mating surface model defining a mating surface of a customized arthroplasty jig. In one implementation, sagittal slices of a volumetric image of a patient bone are segmented with segmentation splines. An anatomically accurate model of the patient bone is generated from the segmentation splines. The anatomically accurate model includes anatomically accurate segmentation splines. The anatomically accurate segmentation splines are transformed into mating surface contours. Any inadequate segments of the mating surface contours are modified to obtain modified mating surface contours. A mating surface model of the patient bone is generated based on the mating surface contours and the modified mating surface contours. Three-dimensional cross-sections of the mating surface model are smoothed to generate the smooth mating surface model.

Abstract: Methods and corresponding apparatus for segmenting an orthodontic treatment path into clinically appropriate substeps for repositioning the teeth of a patient include providing a digital finite element model of the shape and material of each of a sequence of appliances to be applied to a patient; providing a digital finite element model of the teeth and related mouth tissue of the patient; computing the actual effect of the appliances on the teeth by analyzing the finite elements models computationally; and evaluating the effect against clinical constraints. The appliances can be braces, polymeric shells, or other forms of orthodontic appliance.

Abstract: Methods and corresponding apparatus for segmenting an orthodontic treatment path into clinically appropriate substeps for repositioning the teeth of a patient include providing a digital finite element model of the shape and material of each of a sequence of appliances to be applied to a patient; providing a digital finite element model of the teeth and related mouth tissue of the patient; computing the actual effect of the appliances on the teeth by analyzing the finite elements models computationally; and evaluating the effect against clinical constraints. The appliances can be braces, polymeric shells, or other forms of orthodontic appliance.

Abstract: Methods and corresponding apparatus for segmenting an orthodontic treatment path into clinically appropriate substeps for repositioning the teeth of a patient include providing a digital finite element model of the shape and material of each of a sequence of appliances to be applied to a patient; providing a digital finite element model of the teeth and related mouth tissue of the patient; computing the actual effect of the appliances on the teeth by analyzing the finite elements models computationally; and evaluating the effect against clinical constraints. The appliances can be braces, polymeric shells, or other forms of orthodontic appliance.

Abstract: Methods and corresponding apparatus for segmenting an orthodontic treatment path into clinically appropriate substeps for repositioning the teeth of a patient include providing a digital finite element model of the shape and material of each of a sequence of appliances to be applied to a patient; providing a digital finite element model of the teeth and related mouth tissue of the patient; computing the actual effect of the appliances on the teeth by analyzing the finite elements models computationally; and evaluating the effect against clinical constraints. The appliances can be braces, polymeric shells, or other forms of orthodontic appliance.

Abstract: Methods and corresponding apparatus for segmenting an orthodontic treatment path into clinically appropriate substeps for repositioning the teeth of a patient include providing a digital finite element model of the shape and material of each of a sequence of appliances to be applied to a patient; providing a digital finite element model of the teeth and related mouth tissue of the patient; computing the actual effect of the appliances on the teeth by analyzing the finite elements models computationally; and evaluating the effect against clinical constraints. The appliances can be braces, polymeric shells, or other forms of orthodontic appliance.

Abstract: Methods and corresponding apparatus for segmenting an orthodontic treatment path into clinically appropriate substeps for repositioning the teeth of a patient. The methods include providing a digital finite element model of the shape and material of each of a sequence of appliances to be applied to a patient; providing a digital finite element model of the teeth and related mouth tissue of the patient; computing the actual effect of the appliances on the teeth by analyzing the finite elements models computationally; and evaluating the effect against clinical constraints. The appliances can be braces, polymeric shells, or other forms of orthodontic appliance.