Research

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Research Interests

  • Design and development of Medical Devices, Assistive Devices, and Instruments
  • Medical Image Processing and Analysis
  • Bio-mechanical assessment of musculoskeletal structure (Knee, Hip, Spine, and Wrist)
  • Finite Element Analysis for Orthopedic Biomechanics
  • Effect of physical activity/exercise on human joints (Knee and Hip)

Research Grants

  • 2018 – 2019 : National Additive Manufacturing – Innovation Cluster (NAMIC)
    Principal Investigator
    Fore-Quarter Arm Prosthesis Design
    PI: Mr. Trevor Bindel, Principal Prosthetist / Orthotist, Foot Care & Limb Design Centre, Tan Tock Seng Hospital (TTSH)

  • 2017 – 2019 : Surgery ACP – SUTD Strategic Joint Research Fund (SJRF)
    Co-PI
    Smart spirometer
    PI: Dr. Alexander Binder, ISTD, SUTD

  • 2017 – 2018 : SUTD-ZJU Joint Collaboration Research Grant
    Co-PI
    Design and manufacturing innovations in China and Singapore
    PI: Dr. Jianxi Luo, SUTD

  • 2017 – 2019 : SUTD-MIT International Design Centre (IDC) Research Grant
    Co-PI
    InnoGPS: a System for Design Opportunity Conception
    PI: Dr. Jianxi Luo, SUTD

  • 2016 – 2017 : Surgery ACP – SUTD Strategic Joint Research Fund (SJRF)
    Principal Investigator (Tech.)
    Ultrasound Imaging of Muscles
    Clinical PI: Dr. Duncan Angus McGrouther, Singapore General Hospital (SGH)

  • 2016 – 2017 : CGH – SUTD Health Tech Innovation Fund (HTIF)
    Principal Investigator (Tech.)
    Design and Development of Unloader Brace
    Clinical PI: Dr. Dave Lee Yee Han, Changi General Hospital (CGH)

  • 2016 – 2017 : CGH – SUTD Health Tech Innovation Fund (HTIF)
    Co-Investigator
    A Supportive Device for Percutaneous Nephrolithotomy Procedure
    PI: Dr. Tan U-Xuan, SUTD

  • 2015 – 2018 : SUTD Start-up Research Grant
    Principal Investigator
    Computational Methods for Biomechanical Analysis of Musculoskeletal Structure

  • 2015 – 2016 : SUTD-MIT International Design Centre Infrastructure Grant
    Co-Principal Investigator
    Kinetics and Kinesiology Instrumentation System
    PI: Dr. Goh Gim Song, SUTD
  • 2011 – 2015 : NIH-NIAMS HHS/United States R01 Grant
    Co-Investigator
    Contact Mechanics, Neuromuscular Control, and Cartilage Composition in Knee OA
    PI: Dr. Richard B. Souza, University of California San Francisco (UCSF)

  • 2011 – 2012 : UCSF Radiology Pilot Grant
    Principal Investigator
    Acute Effect of Running Exercise on Knee Cartilage in Young Healthy Adults
    Mentor: Dr. Sharmila Majumdar, University of California San Francisco (UCSF)

Selected Research Projects

Musculoskeletal Imaging and Biomechanics

Screen Shot 2016-08-29 at 10.15.45 AM (2) Biomechanical analysis of the Knee joint . (Collaboration: IHPC A* and Changi General Hospital): Knee joint injuries and surgeries (ACL tear, Meniscal tears, and menisectomy) lead to early OA due to articular cartilage wear after a few years of incident. The biomechanical factors behind this damage (change in global biomechanics of the knee joint and increased articular instability) result in progressive and degenerative cartilage degeneration. We aim to assess biomechanical behavior of the knee joint (intact, injured, reconstructed, and implanted conditions ) using MR image-based patient-specific finite element (FE) analysis as well as experimental studies.

Funding Source: SUTD-CGH HTIF Grant (CGH-SUTD-2015-003); IDC Infrastructure Grant (IDIN15002)
Members: Shriram Duraisamy; Rizuwana Parween

BoneFragilityAnalaysis MDCT-based Bone Strength Prediction using Finite Element Analysis (Collaboration: Radiology department at Technical University of Munich (TUM)): Osteoporosis (OP) can be characterized by bone loss and structural deterioration leading to bone fracture. Areal bone mineral density (aBMD) by DXA is the current clinical standard for diagnosing OP. However, current aBMD based diagnostic criteria do not identify or classify patients at a high risk of fracture. Projected 2D measurement using DXA does not provide any 3D information on bone geometry, deformities, shape, or internal structural elements, to assess bone strength. In this study, we set out to use Finite element (FE) analysis to predict bone strength from MDCT images. Anitha et al., Scientific Reports (2016) ; Anitha et al., Medicine (2017)

Funding Source: SUTD Start-up research grant (SRG EPD 2015 093); IDC Infrastructure Grant (IDIN15002)

Members: D. Anitha; Muthu Rama krishnan

ScoliosisScolioMedIS: web-oriented information system for idiopathic scoliosis visualization and monitoring. (Collaboration: Product Design Center, University of Kragujevac ). A web-based information system (called ScolioMedIS) based on parameterized 3D anatomical models of the spine to quantitatively assess the deformity and to minimize the amount of radiation exposure by reducing the number of radiographs required was developed. The main components of the system are patient-specific 3D parametric solid model of spine, back surfaces, relevant clinical information and scoliosis ontology. The system is designed to take inherent advantage of Web for facilitating multi-center data collection and collaborative clinical decisions. The preliminary analysis of patient data showed promising results, which involve improved documentation standard, clinical decision knowledge base record, facilitated exchange and retrieval of medical data between institutions in multi-center clinical studies, 3D visualization of spinal deformity, and permanent monitoring of treatments. [CAD 2010, CMIG 2012, JPE 2015 IEEE BIBE 2015]


MRKinematics MRI-based Quantification of Joint Kinematics and Loading Pattern (Collaboration: Radiology + Sports Medicine + Orthopaedic Surgery at UCSF): This work was focused on demonstrating that advanced imaging techniques (T1ρ and T2 relaxation times and morphological metrics) can be used to noninvasively and quantitatively determine skeletal joint (knee articular cartilage and meniscus) response to physiologic loading occurring with a stimulated static loading. Also to quantify in-vivo joint kinematics and the contact kinematics of the knee joint and meniscal kinematics from loaded knee MR images acquired using a custom-built loading device. These results would be valuable in various fields of sports and rehabilitation medicine such as functional biomechanics, physical exercise, cartilage repair, and postsurgical outcome. [JMRI 2014, O&C 2014a, O&C 2014b,JOR 2012, KNEE 2012, AJSM 2012]


RunningStudy Acute Effect of Running on Knee Joint (Collaboration: Radiology + Sports Medicine at UCSF): Understanding the acute response of healthy knee cartilage to running may provide valuable insight into functional properties. In this work, we have demonstrated that quantitative magnetic resonance (MR) imaging techniques (T1(ρ) and T2 relaxation measurement) have tremendous potential and unique ability to noninvasively and quantitatively determine cartilage response to physiologic levels of loading occurring with physiologic levels of exercise [AJSM 2012; ISMRM 2012; O&C 2011, ORS 2012].


hipFAI Regional Analysis of Cartilage in Hip Joints with and without Femoral-Acetabular Impingement (FAI) (Collaboration: Radiology + Orthopaedic Surgery at UCSF): A methodology to automatically divide the hip cartilage into regional segments using anatomical and image coordinates was developed and demonstrated with the regional variations in hip cartilage composition using MR relaxation times (T1ρ and T2) in subjects with and without femoral-acetabular impingement (FAI). [MRI 2013; ISMRM 2013; OARSI 2011; ORS 2013].


Medical Modelling/ Surgery Planning / Device Design


surgeryplanning Surgery Planning System and Prosthesis Design Considerations based on Planning (Collaboration: Mech. Engineering @IIT Bombay + Orthopaedic Oncology @ Tata Memorial Hospital (TMH)):: The system driven by geometric reasoning algorithms to visualize tumor size, shape, and plan for resection according to the tumor’s spread, extraction of condylar shape, quantification of anatomical deformities, prosthesis components selection and recommendation of patient-specific custom components (if any), and prosthesis positioning and visualization, starting from a 3D model reconstructed from CT images. A set of anatomical metrics also have been developed to measure the effectiveness of the prosthetic replacement of the joint. [CMIG 2010,CMIG 2009, IEEE CASE 2009, ASME Biomed 2008, CAD&A 2008]


EarProsthesis Rapid Development of Auricular Prosthesis: (Collaboration: Mech. Engineering @ IIT Bombay + Orthodontics @ Govt. Dental Hospital, Mumbai): External ear defects can be corrected by surgery, but this may not be feasible for personal or medical reasons. Reconstructive solutions are a good alternative, but rely on the artistry and availability of the anaplastologist.A semi-automated methodology using computer-aided design (CAD) and rapid prototyping (RP) technologies was developed for auricular prosthesis development, and demonstrated in a real-life case. The computer-aided methodology gave a high level of accuracy in terms of shape, size and position of the prosthesis, and a significantly shorter lead time compared to the conventional (manual) technique.[IJOMS 2007] .


DistractionOsteogenesis Design and Development of patient-specific intraoral transportation device and planning for distraction osteogensis procedure (Collaboration: Mech. Engineering @ IIT Bombay + Oral & Maxillofacial Surgery @ BYL Nair Charitable Hospital, Mumbai ). The methodology used CT images to reconstruct 3D model of the remaining bone stock of the jaw and uses the 3D model to reconstruct the missing portion of the Jaw. Once the whole jaw 3D model was ready, a RP model was build to design the customised transporation device to move the broken bone piece to get the missing jaw bone. The surgery and the reconstruction were successful and reported in this case series [JOMS 2011]


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