Active
NIH R01AR077636 7/1/2020 – 6/30/2025
Title: Morphological and Biomechanical Insights into the Pathophysiology of Femoroacetabular Impingement Syndrome
PI = Andrew Anderson, co-I = Jeff Weiss, Steve Aoki, Bo Foreman, Neal Bangerter, Megan Mills, Chris Peters
Goals: The objective of this study is to advance understanding of femoroacetabular impingement syndrome pathophysiology through rigorous evaluation of hip biomechanics and morphometrics. We will employ innovative and accurate measurement technologies including dual fluoroscopy, patient-specific finite element analysis, and statistical shape modeling (SSM). Three cohorts will be examined: femoroacetabular impingement syndrome patients, asymptomatic subjects without radiographic deformities (i.e., negative controls), and asymptomatic subjects with deformities (i.e., positive controls). Study data should improve clinical understanding of femoroacetabular impingement syndrome and inform development of new treatment approaches.
NIH R21AR083686 1/17/2024 – 12/31/2025
Title: Quantitative Magnetic Resonance Imaging in Patients with Femoroacetabular Impingement Syndrome (Ancillary R21 to Parent R01-AR077636)
PI = Andrew Anderson, co-I = Jeff Weiss, Steve Aoki, Bo Foreman, Neal Bangerter, Megan Mills, Chris Peters
Goals: The results of this research will yield an improved understanding of how femoroacetabular impingement syndrome alters the shape and biomechanics of the hip and will determine if these data are associated with image-based measurements of the structure and composition of hip cartilage and labrum health provided by quantitative magnetic resonance imaging. Our findings should offer more direct evidence linking hip anatomy and biomechanics with biochemical changes associated with hip osteoarthritis.
NIH R01AR082952 1/17/2024 – 12/31/2025
Title: Morphologic and Kinematic Adaptations of the Subtalar Joint after Ankle Fusion Surgery in Patients with Varus-type Ankle Osteoarthritis
PI = Andrew Anderson, Co-I: Charles Salzman, Penny Atkins, Bo Foreman
Goals: The results of this research will provide quantitative characterization of anatomical form and its relationship with function in patients that undergo ankle fusion surgery to treat ankle osteoarthritis. These data should help surgeons to better address deformities at the time of ankle fusion surgery, which could in turn improve clinical outcomes and reduce the likelihood that patients will develop secondary subtalar arthritis later in life.
NIH R01AR076120 7/1/2019 – 5/31/2023
Title: Anatomy Directly from Imagery: General-purpose, Scalable, and Open-source Machine Learning Approaches
PI = Shireen Elhabian, Co-I: Andrew Anderson
Goals: This project will develop general-purpose, scalable, and open-source statistical shape modeling (SSM) tools, which will present unique capabilities for automated anatomy modeling with less user input. The proposed technology will introduce several improvements to current SSM approaches and tools, including the support for challenging modeling problems, inferring shapes directly from images (and hence bypass the segmentation step), parallel optimizations for speed, and new user interfaces that will be easier and scalable.
Pending
NIH R01EB034248 11/2024 - 10/2029
Title: Transforming Clinical Evaluation of Form & Function: A Data-Driven and Accessible Solution
PI = Shireen Elhabian, Co-I: Andrew Anderson
Goals: This project will provide data-driven and accessible SSM tools that enable scalable statistical analyses of anatomies with more organs, are general-purpose (beyond cross-sectional studies) and are robust to practical medical images).
NIH R01EB034248 11/2024 - 10/2029
Title: Transforming Clinical Evaluation of Form & Function: A Data-Driven and Accessible Solution
PI = Shireen Elhabian, Co-I: Andrew Anderson
Goals: This project will provide data-driven and accessible SSM tools that enable scalable statistical analyses of anatomies with more organs, are general-purpose (beyond cross-sectional studies) and are robust to practical medical images).
Project proposed by Kitware
Title: Validated X-ray Simulation for Orthopaedic Deep Learning Applications (SBIR)
PI = J. Cates, site-PI: Andrew Anderson
Goals: We address two major obstacles for orthopedic R&D: a shortage of available X-ray image data for learning AI algorithms and a gap in technology for realistic simulation of orthopedic X-rays, including fluoroscopy. We address user needs with new simulation approaches that will be built into an existing Kitware product platform called X-ray Genius. With our clinical coinvestigators, we will compare simulated image statistics against real clinical data and assess whether our simulations meet our users’ needs with task-based validation.
Recently Completed
NIH U24EB029011 9/30/2019 – 8/31/2024
Title: ShapeWorksStudio: An Integrative, User-Friendly, and Scalable Suite for Shape Representation and Analysis
PI = Shireen Elhabian, Co-I: Andrew Anderson
Goals: Develop general-purpose, scalable, and open-source statistical shape modeling (SSM) tools, which will present unique capabilities for automated anatomy modeling with less user input. The proposed technology will introduce several improvements to current SSM approaches and tools, including the support for challenging modeling problems, inferring shapes directly from images (and hence bypass the segmentation step), parallel optimizations for speed, and new user interfaces that will be easier and scalable.
NIH R01AR067196 5/1/2016 – 4/30/2022
Title: Biomechanics of reverse total shoulder arthroplasty
PI = Heath Henninger, Co-I: Andrew Anderson
The goals of this study were to quantify the transient changes in scapulohumeral kinematics in reverse total shoulder patients during short term (<1 yr) recovery and test the relationships between shoulder kinematics and implant hardware configuration in the laboratory using a dynamic shoulder simulator.
NIH R56AR074416 9/1/2019 – 8/31/2021
Title: Quantifying the Pathophysiology of Femoroacetabular Impingement Syndrome
PI = Andrew Anderson, co-I = Jeff Weiss, Steve Aoki, Bo Foreman, Neal Bangerter, Megan Mills, Chris Peters, Travis Maak
Goals: The major goal of this project was to apply quantitative magnetic resonance imaging to study hip cartilage in patients with FAIS. Preliminary data obtained from this study supported a successful project funded by the NIH.
PAC12 Research Grant 5/1/2018 – 4/30/2021
Title: Developing a Comprehensive, Quantitative Understanding of Hip Morphometrics and Biomechanics in Collegiate Athletes at Risk for Developing Femoroacetabular Impingement Syndrome
PI = Andrew Anderson, co-I = Bo Foreman, Steve Aoki, Travis Maak
Goals: Determine if collegiate athletes are at a higher risk of developing femoroacetabular impingement syndrome based on the 3D shape of their hip. Develop predictive relationships between hip shape and kinematics, kinetics, and muscle activations measured in collegiate athletes.
NIH R21AR069773 4/1/2017 – 3/31/2020
Title In Vivo Arthrokinematics of Total Ankle Replacement and Ankle Arthrodesis
PI = Andrew Anderson, co-I = Alexej Barg, Charles Saltzman
Goals: The major goal of this project was to develop dual fluoroscopy imaging research methodologies to quantify in vivo motion of the tibiotalar and subtalar joint in patients who had undergone surgery for advanced ankle osteoarthritis. Results improved understanding of the biomechanical tradeoffs of ankle fusion and total ankle replacement.