Our long range goal is to develop an image-guided workstation that uses a novel Continuum Dexterous Manipulator (CDM) and tools to enable next generation of minimally- and less-invasive procedures allowing access to regions not currently accessible with conventional surgical tools in orthopaedic surgery. The system and devices will enable treatment of bone defects such as femoroacetabular impingement, metastatic bone disease, severe osteoporosis in areas including the pelvis/acetabulum, femoral neck, peri- and sub- trochanteric regions, as well as the shin and foot, and finally traumatic fracture repair. The near-term focus of this application is the core decompression for the treatment of Avascular Necrosis (AVN) of the femoral head and reduction of pelvis fracture. We propose the development of an image-guided prototype robot-assisted surgical system for planning, real-time intraoperative monitoring, navigation, and updating of the plans. In the United States, avascular necrosis (AVN, also known as osteonecrosis) of the femoral head occurs in 10000-20000 of patients per year between the ages of 20-50 years old. The incidence of the AVN is even higher in Middle Eastern and Asian countries. AVN occurs due to the loss of blood supply to the bone, leading to the spontaneous death of the trabecular bone, which in turn may cause microfractures in the trabecular bone. Depending on the amount of femoral head involved, collapse of the articular surface will occur as the disease advances. Once collapse of the femoral head occurs in these patients, the disease course rarely regresses. Total Hip Arthroplasty (THA) will be the primary surgery of choice and will provide pain relief to those AVN patients. However, because of the young age of the AVN patients, THA is not the most desirable choice. Core decompression is a conventional techniques used for the treatment of the AVN prior to the collapse of the femoral head. Typically in core decompression the lesion area (death bone) is removed by drilling and debriding. After debriding the bone graft will be inserted and/or bioresorbable material such as calcium phosphates will be injected into the core to fill the void and provide stability. The long-term success of core decompression is dependent on many parameters that may be out of the control of surgeons given the existing tools and techniques. Some of the issues that the current conventional techniques for core decompression does not answer are: 1) complete debriding of the death bone requires significant increase in dexterity of the debriding tools, currently not available to the surgeons; 2) While it is ideal to completely remove the death bone, the extent of the bone removal may be limited by the stability requirements of the femoral head to prevent its collapse underweight bearing conditions. Biomechanical analysis of the stability of the structure, therefore, must be important part of the planning. Further, the successful implementation of the plan will require robot-assisted, image-guided navigation technology that, to our knowledge, is currently not available to the surgeons. To our knowledge, tools for biomechanical planning to maintain the stability of the hip after the surgery and robotic platforms for minimally-invasive treatment of osteonecrosis are not developed. In particular, the design of the manipulators for the full debriding of the AVN poses unique challenges because of the opposing requirements for structural strength and flexibility. We propose to develop and test a prototype robot-assisted surgical workstation for minimally-invasive treatment of the AVN. The workstation, during the planning phase, will highlight the site of the lesion in MRI images of the patient and create an optimized surgical plan. During the procedure, the surgeon will use a Continuum dexterous manipulator (CDM) in conjunction with a positioning robot and various tools to remove the death bone and perform structural augmentation. Our goal is to demonstrate that the proposed system can significantly improve the treatment of the AVN and the stability of the hip, therefore, reducing the need for multiple follow-up surgeries and/or THA surgeries at early ages.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project (R01)
Project #
2R01EB016703-05A1
Application #
9817968
Study Section
Bioengineering, Technology and Surgical Sciences Study Section (BTSS)
Program Officer
King, Randy Lee
Project Start
2013-09-30
Project End
2023-05-31
Budget Start
2019-09-01
Budget End
2020-05-31
Support Year
5
Fiscal Year
2019
Total Cost
Indirect Cost
Name
Johns Hopkins University
Department
Orthopedics
Type
Schools of Medicine
DUNS #
001910777
City
Baltimore
State
MD
Country
United States
Zip Code
21205
Fotouhi, Javad; Fuerst, Bernhard; Johnson, Alex et al. (2017) Pose-aware C-arm for automatic re-initialization of interventional 2D/3D image registration. Int J Comput Assist Radiol Surg 12:1221-1230
Gao, Anzhu; Murphy, Ryan J; Liu, Hao et al. (2017) Mechanical Model of Dexterous Continuum Manipulators with Compliant Joints and Tendon/External Force Interactions. IEEE ASME Trans Mechatron 22:465-475
Wilkening, Paul; Alambeigi, Farshid; Murphy, Ryan J et al. (2017) Development and Experimental Evaluation of Concurrent Control of a Robotic Arm and Continuum Manipulator for Osteolytic Lesion Treatment. IEEE Robot Autom Lett 2:1625-1631
Alambeigi, Farshid; Wang, Y; Murphy, Ryan J et al. (2016) Toward robot-assisted hard osteolytic lesion treatment using a continuum manipulator. Conf Proc IEEE Eng Med Biol Soc 2016:5103-5106
Murphy, Ryan J; Armand, Mehran (2015) Estimating the configuration of a continuum dexterous manipulator with variable curvature bending using partial shape-sensing. Conf Proc IEEE Eng Med Biol Soc 2015:5268-71
Liu, Hao; Farvardin, Amirhossein; Pedram, Sahba Aghajani et al. (2015) Large Deflection Shape Sensing of a Continuum Manipulator for Minimally-Invasive Surgery. IEEE Int Conf Robot Autom 2015:201-206
Moses, Matthew S; Murphy, Ryan J; Kutzer, Michael D M et al. (2015) Modeling Cable and Guide Channel Interaction in a High-Strength Cable-Driven Continuum Manipulator. IEEE ASME Trans Mechatron 20:2876-2889
Liu, Hao; Farvardin, Amirhossein; Grupp, Robert et al. (2015) Shape Tracking of a Dexterous Continuum Manipulator Utilizing Two Large Deflection Shape Sensors. IEEE Sens J 15:5494-5503
Xin Kang; Armand, Mehran; Otake, Yoshito et al. (2014) Robustness and accuracy of feature-based single image 2-D-3-D registration without correspondences for image-guided intervention. IEEE Trans Biomed Eng 61:149-61
Alambeigi, Farshid; Murphy, Ryan J; Basafa, Ehsan et al. (2014) Control of the coupled motion of a 6 DoF robotic arm and a continuum manipulator for the treatment of pelvis osteolysis. Conf Proc IEEE Eng Med Biol Soc 2014:6521-5

Showing the most recent 10 out of 11 publications