Abstract: Methods and apparatus for performing joint laxity measurement are disclosed. A retractor includes a plurality of spacers, such as plates, that are capable of being moved from a central portion of the retractor by a carriage mechanism. In some cases, the carriage mechanism may press against ramps connected to internal sides of the plates, thereby causing the plates to be displaced outwardly. In other cases, the carriage mechanism may include blades that rotate and press against the internal sides of the plates, thereby causing the plates to be displaced outwardly. The retractor is mounted on a surgical device configured to actuate the carriage mechanism. When the retractor is placed in a joint and the carriage mechanism is actuated, a measurement of the joint laxity may be determined based upon characteristics of the retractor and/or the surgical device.

Abstract: Systems and methods for virtual implant placement to implement joint gap planning are discussed. For example, a method can include operations for receiving a first implant parameter set based on a surgical plan that was generated while moving the joint through a range of motion. The method can include generating a first set of candidate implant parameter sets that are the result of an incremental change, relative to the first implant parameter set, to at least one parameter of the first parameter set. The method can include calculating a result for at least one candidate implant parameter set and providing a graphical representation of the result according to at least one candidate implant parameter set. The result can be color-coded to correlate to a candidate implant parameter set. The display can include color-coded user interface controls to allow a user to execute incremental changes corresponding to candidate implant parameter sets.

Abstract: A cut guide assembly (600) and a system for mounting assembly on a patient are described. The system includes an ankle clamp (525), an alignment guide (530) configured to be removably attached to the ankle clamp, and the cut guide assembly. The cut guide assembly includes a cut guide (535) and a position tracker (200). The cut guide includes a receiving feature (605) configured to removably attach to at least a portion of the alignment guide, a locking mechanism (610) configured to lock the receiving feature to the at least a portion of the alignment guide, and a plurality of pin receptacles (620), each of the plurality of pin receptacles configured to receive a bone pin (540) configured to affix the cut guide to a patient's bone. The position tracker configured to be affixed to the cut guide when the cut guide is affixed to the patient's bone.

Abstract: Methods and systems for identifying and determining the size and orientation of a reamed portion of a patient's bone are disclosed. A tracking array and/or point probe may be inserted into an adapter device. The adapter device comprising a plurality of openings, having various connection means therein, such that when the tracking array is inserted into the adapter, a secure and robust connection is created. A reamer, stem, or similar tool may then be inserted into the opposing side of the adapter, during which, a secure and robust connection is created between the adapter and the tool. Thus, through the use of Computer Assisted Surgery Systems, a more accurate representation of the patient's anatomy can be obtained.

Abstract: Methods, apparatuses, and systems for determining a surgical plan for an arthroplasty procedure using constraint modeling are disclosed. For example, a method for determining a surgical plan may include determining a constraint model associated with an anatomical model the constraint model configured to indicate at least one valid configuration of an implant model in association with the anatomical model, receiving placement input indicating placement of the implant in association with the anatomical model, and performing, based on the placement input, a violation process based on a violation event responsive to the placement input violating the constraint model, or a placement process positioning the implant according to the placement input. Other embodiments are described.

Abstract: Systems and methods for positioning a cut guide using navigation-based techniques are discussed. For example, a system for use in an orthopedic surgery on a target bone can comprise a cut guide adjustably positionable onto the target bone via two or more coupling receptacles created on the target bone. The coupling receptacles can include one or more guide members and a plurality of landing members. The system also includes an input interface that can receive a target bone representation, and a model receiver module that can receive a generic post-coupling bone model. The target bone representation can include a data set representing two or more landing sites of the target bone, and the generic post-coupling bone model can include a data set representing a bone having two or more coupling receptacles each sized, shaped or otherwise configured to receive and secure the respective coupling feature of the landing members.

Abstract: Systems and methods for planning and performing image free implant revision surgery are discussed. For example, a method for generating a revision plan can include collecting pre-defined parameters characterizing a target bone, generating a 3D model, collecting a plurality of surface points, and generating a reshaped 3D model. Generating the 3D model of the target bone can be based on a first portion of the pre-defined parameters. Generating the reshaped 3D model can be done based on the plurality of surface points collected from a portion of the surface of the target bone.

Abstract: Systems and methods for planning and performing image free implant revision surgery are discussed. For example, a method for generating a revision plan can include collecting pre-defined parameters characterizing a target bone, generating a 3D model, collecting a plurality of surface points, and generating a reshaped 3D model. Generating the 3D model of the target bone can be based on a first portion of the pre-defined parameters. Generating the reshaped 3D model can be done based on the plurality of surface points collected from a portion of the surface of the target bone.

Abstract: Methods and systems for identifying and determining the size and orientation of a reamed portion of a patient's bone are disclosed. A tracking array and/or point probe may be inserted into an adapter device. The adapter device comprising a plurality of openings, having various connection means therein, such that when the tracking array is inserted into the adapter, a secure and robust connection is created. A reamer, stem, or similar tool may then be inserted into the opposing side of the adapter, during which, a secure and robust connection is created between the adapter and the tool. Thus, through the use of Computer Assisted Surgery Systems, a more accurate representation of the patient's anatomy can be obtained.

Abstract: A system, method, and device for drilling holes (420, 422) in a target bone (414) are described. For example, the system includes a cutting tool (330), a navigation system (310) configured to track a position of the cutting tool, and a computer-assisted surgical (CAS) system (340) operably connected to the cutting tool and the navigation system. The CAS system can be configured to determine an implant component (100) to be implanted on the target bone (414), determine a cutting block position for preparing the target bone to receive the implant component, determine a plurality of pin locations (420, 422) for securing the cutting block (416) based upon the determined cutting block position, and selectively provide instructions to the cutting tool to cut a hole when the cutting tool is in a position adjacent to at least one of the determined plurality of pin locations.

Abstract: Methods, apparatuses, and systems for determining a surgical plan for an arthroplasty procedure using constraint modeling are disclosed. For example, a method for determining a surgical plan may include determining a constraint model associated with an anatomical model the constraint model configured to indicate at least one valid configuration of an implant model in association with the anatomical model, receiving placement input indicating placement of the implant in association with the anatomical model, and performing, based on the placement input, a violation process based on a violation event responsive to the placement input violating the constraint model, or a placement process positioning the implant according to the placement input. Other embodiments are described.

Abstract: Systems and methods for generating a surgical plan for altering an abnormal bone using a generic normal bone model are discussed. For example, a system for planning a surgery on an abnormal bone can include a model receiver module configured to receive a generic normal bone model. The generic normal bone model, such as a parametric model derived from statistical shape data, can include a data set representing a normal bone having an anatomical origin comparable to the abnormal bone. An input interface can be configured to receive an abnormal bone representation including a data set representing the abnormal bone. A surgical planning module can include a registration module configured to register the generic normal bone model to the abnormal bone representation by creating a registered generic model. A surgical plan formation module can be configured to identify one or more abnormal regions of the abnormal bone using the registered generic model.

Abstract: A system and device (110) for determining bone laxity. For example, the system includes a tracked probe (300) comprising at least one probe marker (310) and a computer assisted surgical (CAS) system (100). The CAS system includes a navigation system (130) and a processing device (110) operably connected to the navigation system and a computer readable medium configured to store one or more instructions that, when executed, cause the processing device to receive location information from the navigation system, generate (820) a surgical plan comprising a post-operative laxity assumption (720), collect (850) first motion information related to movement of the joint through a first range of motion, collect (860) second motion information related to movement of the joint through a second range of motion, determine (870) a post-operative laxity (710), and compare the post-operative laxity and the post-operative laxity assumption to determine laxity results.

Abstract: Methods, non-transitory computer readable media, and ultrasound imaging apparatuses and systems that facilitate improved ultrasound imaging that emphasizes structures of interest are disclosed. With this technology, position data for a transducer assembly is continuously obtained along with ultrasound scan data captured via the transducer assembly. Image processing techniques are applied to ultrasound images generated from the ultrasound scan data to identify structure(s) of interest included therein and highlight the identified structures on a composite representation generated from the ultrasound images. The intensity of portions of the resulting composite representation is then adjusted to reflect the time in which the associated ultrasound scan data was captured. The composite representation is then output to an augmented reality headset or superimposed over an image of the patient to facilitate improved visibility and relation of the structures of interest.

Abstract: Described herein are robotic arm assemblies that are configured to assist in making planar cuts in an orthopedic surgical procedure. The robotic arm assemblies have less than three motorized joints, but possess the functionality of conventional robotic arm assemblies that have greater numbers of motorized joints. The robotic arm assemblies further include one to four non-motorized joints. The non-motorized joints can include braking or locking mechanisms that are configured to selectively slow or lock the movement of the joints and the associated arm sections of the robotic arm assembly.

Abstract: A system, method, and device for drilling holes (420, 422) in a target bone (414) are described. For example, the system includes a cutting tool (330), a navigation system (310) configured to track a position of the cutting tool, and a computer-assisted surgical (CAS) system (340) operably connected to the cutting tool and the navigation system. The CAS system can be configured to determine an implant component (100) to be implanted on the target bone (414), determine a cutting block position for preparing the target bone to receive the implant component, determine a plurality of pin locations (420, 422) for securing the cutting block (416) based upon the determined cutting block position, and selectively provide instructions to the cutting tool to cut a hole when the cutting tool is in a position adjacent to at least one of the determined plurality of pin locations.

Abstract: Examples of an orthopedic surgical device for use in operating on a target bone and methods for operating a system for use in orthopedic surgery on a bone are generally described herein. An orthopedic surgical device can include an primary positioning block, and a secondary positioning component removably coupled to the primary positioning block. The secondary positioning component can be configured to: engage a prepared engagement feature machined into the target bone, and guide the primary positioning block to a predetermined position on a target bone. The orthopedic surgical device can include a first cutting block configured to: removably couple to the primary positioning block, and guide a cutting tool to cut the target bone.

Abstract: A system and device (110) for determining bone laxity. For example, the system includes a tracked probe (300) comprising at least one probe marker (310) and a computer assisted surgical (CAS) system (100). The CAS system includes a navigation system (130) and a processing device (110) operably connected to the navigation system and a computer readable medium configured to store one or more instructions that, when executed, cause the processing device to receive location information from the navigation system, generate (820) a surgical plan comprising a post-operative laxity assumption (720), collect (850) first motion information related to movement of the joint through a first range of motion, collect (860) second motion information related to movement of the joint through a second range of motion, determine (870) a post-operative laxity (710), and compare the post-operative laxity and the post-operative laxity assumption to determine laxity results.

Abstract: Examples of an orthopedic surgical device for use in operating on a target bone and methods for operating a system for use in orthopedic surgery on a bone are generally described herein. An orthopedic surgical device can include an primary positioning block, and a secondary positioning component removably coupled to the primary positioning block. The secondary positioning component can be configured to: engage a prepared engagement feature machined into the target bone, and guide the primary positioning block to a predetermined position on a target bone. The orthopedic surgical device can include a first cutting block configured to: removably couple to the primary positioning block, and guide a cutting tool to cut the target bone.

Abstract: The present disclosure provides a machine learning model to model a normal version of a bone from an abnormal version of the bone. The machine learning model can be trained with a training set including abnormal bone images and corresponding normalized, or post-operative, bone images. The abnormal bone image and the inferred normal bone image can be used to plan a surgery to correct the abnormal bone with a surgical navigation system.