IP Library Granted Patent US 11,426,281
Granted Patent B2
US 11,426,281 · App. 14/515,483 · Granted Aug 30, 2022

Bone reconstruction and orthopedic implants

Inventor: Mohamed Rashwan Mahfouz (Knoxville, TN)
A61F2/30942A61F2/28A61F2/2875A61F2/34A61F2/36G05B19/4099G06F30/00A61F2002/2825A61F2002/30943A61F2002/30948
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Quick Facts
Patent No.
US 11,426,281
App. No.
14/515,483
Granted
Aug 30, 2022
Kind
B2
Abstract

A method of constructing a patient-specific orthopedic implant comprising: (a) comparing a patient-specific abnormal bone model, derived from an actual anatomy of a patient's abnormal bone, with a reconstructed patient-specific bone model, also derived from the anatomy of the patient's bone, where the reconstructed patient-specific bone model reflects a normalized anatomy of the patient's bone, and where the patient-specific abnormal bone model reflects an actual anatomy of the patient's bone including at least one of a partial bone, a deformed bone, and a shattered bone, wherein the patient-specific abnormal bone model comprises at least one of a patient-specific abnormal point cloud and a patient-specific abnormal bone surface model, and wherein the reconstructed patient-specific bone model comprises at least one of a reconstructed patient-specific point cloud and a reconstructed patient-specific bone surface model; (b) optimizing one or more parameters for a patient-specific orthopedic implant to be mounted to the patient's abnormal bone using data output from comparing the patient-specific abnormal bone model to the reconstructed patient-specific bone model; and, (c) generating an electronic design file for the patient-specific orthopedic implant taking into account the one or more parameters.

Claims (16)

1. A method of constructing a patient-specific orthopedic implant comprising:

comparing a patient-specific abnormal bone model, derived from an actual anatomy of a patient's abnormal bone, with a reconstructed patient-specific bone model, also derived from the anatomy of the patient's bone, where the reconstructed patient-specific bone model reflects a normalized anatomy of the patient's bone using a statistical atlas, and where the patient-specific abnormal bone model reflects an actual anatomy of the patient's bone including at least one of a partial bone, a deformed bone, and a shattered bone, wherein the patient-specific abnormal bone model comprises at least one of a patient-specific abnormal point cloud and a patient-specific abnormal bone surface model, and wherein the reconstructed patient-specific bone model comprises at least one of a reconstructed patient-specific point cloud and a reconstructed patient-specific bone surface model;

optimizing one or more parameters for a patient-specific orthopedic implant to be mounted to the patient's abnormal bone using data output from comparing the patient-specific abnormal bone model to the reconstructed patient-specific bone model;

generating an electronic design file for the patient-specific orthopedic implant taking into account the one or more parameters;

comparing the patient-specific abnormal bone model to a normal atlas bone model to identify missing bone or deformed bone from the patient-specific abnormal bone model; and,

localizing the missing bone or deformed bone onto the normal atlas bone model;

wherein comparing the patient-specific abnormal bone model to the normal atlas bone model to identify missing bone or deformed bone from the patient-specific abnormal bone model includes outputting at least two lists of data, where the at least two lists of data include a first list identifying the missing bone or the deformed bone, and a second list identifying bone in common between the patient-specific abnormal bone model and the normal atlas bone model.

2. The method of claim 1 , wherein:

the first list comprises vertices belonging to the missing bone or the deformed bone from the patient-specific abnormal bone model; and,

the second list comprises vertices belonging to bone in common between the patient-specific abnormal bone model and the normal atlas bone model.

3. A method of constructing a patient-specific orthopedic implant comprising:

comparing a patient-specific abnormal bone model, derived from an actual anatomy of a patient's abnormal bone, with a reconstructed patient-specific bone model to discern what bone in the reconstructed patient-specific bone model is not present in the patient-specific abnormal bone model, also derived from the anatomy of the patient's bone, where the reconstructed patient-specific bone model reflects a normalized anatomy of the patient's bone using a statistical atlas, and where the patient-specific abnormal bone model reflects an actual anatomy of the patient's bone including at least one of a partial bone, a deformed bone, and a shattered bone, wherein the patient-specific abnormal bone model comprises at least one of a patient-specific abnormal point cloud and a patient-specific abnormal bone surface model, and wherein the reconstructed patient-specific bone model comprises at least one of a reconstructed patient-specific point cloud and a reconstructed patient-specific bone surface model;

optimizing one or more parameters for a patient-specific orthopedic implant to be mounted to the patient's abnormal bone using data output from comparing the patient-specific abnormal bone model to the reconstructed patient-specific bone model;

generating an electronic design file for the patient-specific orthopedic implant taking into account the one or more parameters,

wherein: comparing the patient-specific abnormal bone model with the reconstructed patient-specific bone model includes discerning what bone in the reconstructed patient-specific bone model is present in the patient-specific abnormal bone model; and,

determining implant loci for the patient-specific orthopedic implant using a normal atlas bone model and results from discerning what bone is and is not present in the patient-specific abnormal bone model.

Continuity (2)
Provisional Application 61891047 · Oct 15, 2013
Related Publication 20150328004A1 · Nov 19, 2015
Cited By (4)
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