A method and apparatus for planning an orthopedic procedure is disclosed. The method comprises retrieving medical imaging data, identifying a plurality of landmarks including at least a first landmark at a portion of the first bone and at least a second landmark at a portion of the second bone comprised in the medical imaging data. The portion of the first bone and the portion of the second bone may be segmented such that the portion of the first bone is moveable relative the portion of the second bone. At least one of a first implant component and a second implant component can be selected from among a plurality of implant components in a database based on information obtained from the first landmark and the second landmark The first implant component and/or the second implant component can be fitted in a space at least partially defined by the first landmark and the second landmark

A projection transformation parameter for guaranteeing a deformation to a convex quadrilateral can be calculated even when one or more of correspondence points are errors. A projection transformation parameter estimation device according to an embodiment includes a correspondence point detection unit (1) configured to detect information about a correspondence between two pieces of input data, a quadratic surface calculation unit (2) configured to fit a quadratic surface to the information about the correspondence for one or both of the two pieces of the input data, and a projection transformation matrix calculation unit (3) configured to calculate a projection transformation parameter between the two pieces of the input data by using the information about the correspondence with a constraint condition specifying that a property of the quadratic surface is maintained even after projection transformation.

A projection transformation parameter for guaranteeing a deformation to a convex quadrilateral can be calculated even when one or more of correspondence points are errors. A projection transformation parameter estimation device according to an embodiment includes a correspondence point detection unit (1) configured to detect information about a correspondence between two pieces of input data, a quadratic surface calculation unit (2) configured to fit a quadratic surface to the information about the correspondence for one or both of the two pieces of the input data, and a projection transformation matrix calculation unit (3) configured to calculate a projection transformation parameter between the two pieces of the input data by using the information about the correspondence with a constraint condition specifying that a property of the quadratic surface is maintained even after projection transformation.

Disclosed herein are systems and methods of analyzing 3D structure of a portion of the CNS. An analytics module may be used to calculate one or more metrics the describe changes in the 3D structure of a CNS structure over time. The one or more metrics may be used to identify patterns of structural change prior to progressive symptom development. Healthcare providers may use the one or more metrics and or patterns of structural change to diagnose neurological conditions, track the progress of neurological conditions in the patient, and determine the patient's risk of progressive disease development. The 3D structure analytics techniques described herein may also be used to develop treatments and create a care delivery that is individualized for each patient.

Processes for rapidly and accurately measuring the coefficient of moisture expansion for materials, such as adhesives, are disclosed. A replication technique may be used to manufacture highly flat and smooth adhesive samples. Moisture is introduced in a controlled humidity atmosphere, distortion is monitored with an accurate laser interferometer (e.g., ˜1 nanometer (nm) accuracy), and measurements are correlated with moisture content change. Such processes decrease sample size by three orders of magnitude as compared with conventional techniques and have a smaller adhesive mass requirement, which enables measurement of expensive microelectronic adhesives that were previously cost-prohibitive to measure. Also, thinner films allow CME measurements of ultraviolet (UV) cured adhesives that would otherwise have depth of penetration issues. Furthermore, saturation occurs quickly, allowing pre-stabilization at room temperature, which enabled parametric studies as a function of processing or cure state. Additionally, testing occurs within hours versus months, enabling short lead times for root-cause investigations.

Processes for rapidly and accurately measuring the coefficient of moisture expansion for materials, such as adhesives, are disclosed. A replication technique may be used to manufacture highly flat and smooth adhesive samples. Moisture is introduced in a controlled humidity atmosphere, distortion is monitored with an accurate laser interferometer (e.g., ˜1 nanometer (nm) accuracy), and measurements are correlated with moisture content change. Such processes decrease sample size by three orders of magnitude as compared with conventional techniques and have a smaller adhesive mass requirement, which enables measurement of expensive microelectronic adhesives that were previously cost-prohibitive to measure. Also, thinner films allow CME measurements of ultraviolet (UV) cured adhesives that would otherwise have depth of penetration issues. Furthermore, saturation occurs quickly, allowing pre-stabilization at room temperature, which enabled parametric studies as a function of processing or cure state. Additionally, testing occurs within hours versus months, enabling short lead times for root-cause investigations.

Provided are an intraoral image processing method and an intraoral image processing apparatus. The intraoral image processing method according to an embodiment may include: obtaining a three-dimensional oral cavity model of an oral cavity; obtaining curvature information of the three-dimensional oral cavity model; obtaining roughness information of the three-dimensional oral cavity model, based on the curvature information; obtaining a color of the three-dimensional oral cavity model, based on the roughness information; and displaying the three-dimensional oral cavity model, based on the obtained color.

Provided are an intraoral image processing method and an intraoral image processing apparatus. The intraoral image processing method according to an embodiment may include: obtaining a three-dimensional oral cavity model of an oral cavity; obtaining curvature information of the three-dimensional oral cavity model; obtaining roughness information of the three-dimensional oral cavity model, based on the curvature information; obtaining a color of the three-dimensional oral cavity model, based on the roughness information; and displaying the three-dimensional oral cavity model, based on the obtained color.

A method of reconstructing a gingival profile comprising generating, by a processor, a defined cross section of an arch form model extending through a tooth axis of a given tooth and a defined gingiva region; identifying within a tooth cross section profile of the defined cross section a set of reference points for generating a parametric curve defining at least a portion of the tooth cross section profile; generating the parametric curve based on the set of reference points; generating a first undefined cross section of the arch form model extending through the tooth axis of the given tooth and an defined gingiva region; constructing in the first undefined cross section, at least a portion of the parametric curve, thereby generating a first reconstructed gingival profile, and updating the arch form model with the first reconstructed gingival profile; and storing the arch form model including the reconstructed gingival profile.

A method of reconstructing a gingival profile comprising generating, by a processor, a defined cross section of an arch form model extending through a tooth axis of a given tooth and a defined gingiva region; identifying within a tooth cross section profile of the defined cross section a set of reference points for generating a parametric curve defining at least a portion of the tooth cross section profile; generating the parametric curve based on the set of reference points; generating a first undefined cross section of the arch form model extending through the tooth axis of the given tooth and an defined gingiva region; constructing in the first undefined cross section, at least a portion of the parametric curve, thereby generating a first reconstructed gingival profile, and updating the arch form model with the first reconstructed gingival profile; and storing the arch form model including the reconstructed gingival profile.