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SIRIL TEJA DUKKIPATI

PhD candidate at MBR Lab, McGill University, Montreal, Canada.

siril.dukkipati@mail.mcgill.ca

sirilteja.dukkipati@gmail.com

Welcome.! I am a PhD candidate at the Musculoskeletal Biomechanics Research Lab
headed by Dr. Mark Driscoll in the Department of Mechanical Engineering at
McGill. My work mainly focuses on the Biomechanics of Human Spine and it’s
modeling. As the name suggests, my lab works in various fields ranging from FE
Simulations to Benchtop model design to Virtual surgery planning - all revolving
around the human spine, it’s stability and various medical conditions related to
it.

My research interests include Robot design, Control, Experimental validation. My
PhD work is focused on developing a validated robotic benchtop spinal model for
use as a research tool in low back research. I also do some web dev and delve in
cybersecurity topics.

I hold a Bachelor’s Degree in Mechanical Engineering from Manipal University,
India and did my bachelor’s thesis with the R&MM Research Group at Vrije
Universiteit Brussel, Belgium.

I was also a part of Mars Society South Asia and worked on promoting space
exploration and education in the 7 South Asian countries by organizing robotic
competitions like IRC, IRDC etc.

In my free time, I enjoy doing photography. I love cycling and go on long biking
trips during summers.


NEWS

Sep 13, 2022 Another podium presentation on “Viscoelastic properties of 3D
printed thoracolumbar fascia” at the Fascia Research Congress 2022, Montreal,
Canada Jul 04, 2022 Gave a podium presentation titled “Design and validation of
3D printed analogous lumbar model for use in a robotic benchtop spine model at
ESMC 2022, Galway, Ireland. Jun 02, 2022 Funding secured - Fonds de recherche du
Québec - Nature et Technologies FRQNT Masters research Scholarship 2022.


SELECTED PUBLICATIONS

 1. Preprint
    Evaluation of a High Fidelity Rigid Body Spine Model for Muscle Recruitment
    and Intra-Abdominal Pressure Simulations
    Siril Teja Dukkipati, and Mark Driscoll
    2024
    
    Abs Bib HTML
    
    
    A rigid body musculoskeletal model of the lumbar spine along with
    intra-abdominal pressure (IAP) was presented in this research. Traditional
    spinal biomechanical models in literature often neglect the load-sharing
    effect of IAP on the spine and can be computationally intensive. These
    limitations limit them to be effectively used for computationally intensive
    applications like muscle recruitment simulations. As such, there remains a
    need for high-fidelity validated musculoskeletal spine models, hence
    developed herein. The skeletal components were adapted from 3D MRI scans and
    the intervertebral discs were modeled as 3 degrees-of-freedom (DOF) gimbal
    joints with a custom joint torque feedback for their control. Supraspinous,
    interspinous, and intertransverse ligaments were modeled as tension-only
    springs. Further, two methods of modeling IAP were discussed and
    implemented. The resultant model consisted a total of 15 DOFs, constrained
    by 279 independent force-generating elements. The lumbar segmental stiffness
    profiles in all three directions were found to be within one standard
    deviation of the literature data. A linear increase in the extensor torque
    about L3 was observed with an increase in IAP emphasizing the IAP’s
    load-sharing effect during flexion. The 6 sec compilation and 1.4 sec run
    times suggest that this model is suitable for muscle recruitment
    optimization problems. This MATLAB based simulation platform offers a quick
    and intuitive tool to visualize physiological loading for the biomechanics
    community.
    
    @article{3Manu2024,
      author = {Dukkipati, Siril Teja and Driscoll, Mark},
      doi = {},
      issn = {},
      journal = {},
      title = {Evaluation of a High Fidelity Rigid Body Spine Model for Muscle Recruitment and Intra-Abdominal Pressure Simulations},
      url = {},
      year = {2024},
      dimensions = {true},
      google_scholar_id = {},
    }

 2. J. Bionic Eng.
    Design Improvements and Validation of a Novel Fully 3D Printed Analogue
    Lumbar Spine Motion Segment
    Siril Teja Dukkipati, and Mark Driscoll
    Journal of Bionic Engineering, May 2024
    
    Abs Bib HTML
    1
    1 Total citation
    0 Recent citations
    n/a Field Citation Ratio
    n/a Relative Citation Ratio
    
    Spine biomechanical testing methods in the past few decades have not evolved
    beyond employing either cadaveric studies or finite element modeling
    techniques. However, both these approaches may have inherent cost and time
    limitations. Cadaveric studies are the present gold standard for spinal
    implant design and regulatory approval, but they introduce significant
    variability in measurements across patients, often requiring large sample
    sizes. Finite element modeling demands considerable expertise and can be
    computationally expensive when complex geometry and material nonlinearity
    are introduced. Validated analogue spine models could complement these
    traditional methods as a low-cost and high-fidelity alternative. A fully 3D
    printable L-S1 analogue spine model with ligaments is developed and
    validated in this research. Rotational stiffness of the model under pure
    bending loading in flexion-extension, Lateral Bending (LB) and Axial
    Rotation (AR) is evaluated and compared against historical ex vivo and in
    silico models. Additionally, the effect of interspinous, intertransverse
    ligaments and the Thoracolumbar Fascia (TLF) on spinal stiffness is
    evaluated by systematic construction of the model. In flexion, model Range
    of Motion (ROM) was 12.92 ± 0.11° (ex vivo: 16.58°, in silico: 12.96°) at
    7.5Nm. In LB, average ROM was 13.67 ± 0.12° at 7.5 Nm (ex vivo:
    15.21 ± 1.89°, in silico: 15.49 ± 0.23°). Similarly, in AR, average ROM was
    17.69 ± 2.12° at 7.5Nm (ex vivo: 14.12 ± 0.31°, in silico: 15.91 ± 0.28°).
    The addition of interspinous and intertransverse ligaments increased both
    flexion and LB stiffnesses by approximately 5%. Addition of TLF showed
    increase in flexion and AR stiffnesses by 29% and 24%, respectively. This
    novel model can reproduce physiological ROMs with high repeatability and
    could be a useful open-source tool in spine biomechanics.
    
    @article{2Manu2024,
      author = {Dukkipati, Siril Teja and Driscoll, Mark},
      doi = {10.1007/s42235-024-00512-8},
      issn = {1672-6529},
      issue = {3},
      journal = {Journal of Bionic Engineering},
      keywords = {Artificial Intelligence,Biochemical Engineering,Bioinformatics,Biomaterials,Biomedical Engineering and Bioengineering,Biomedical Engineering/Biotechnology},
      month = may,
      pages = {1388-1396},
      publisher = {Springer},
      title = {Design Improvements and Validation of a Novel Fully 3D Printed Analogue Lumbar Spine Motion Segment},
      volume = {21},
      url = {https://link.springer.com/10.1007/s42235-024-00512-8},
      year = {2024},
      dimensions = {true},
      google_scholar_id = {zYLM7Y9cAGgC},
    }

 3. Preprint
    Development and Biomechanical Evaluation of a 3D Printed Analogue Lumbar
    Spine Motion Segment
    Siril Teja Dukkipati, and Mark Driscoll
    SSRN Electronic Journal, May 2022
    
    Abs Bib HTML
    1
    1 Total citation
    1 Recent citation
    0.65 Field Citation Ratio
    n/a Relative Citation Ratio
    
    There exists a need for validated lumbar spine models in spine biomechanics
    research. Although cadaveric testing is the current gold standard for spinal
    implant development, it poses significant issues related to reliability,
    repeatability, and ethics. Analogue or synthetic models can act as cost
    saving alternatives to human tissue. This study presents a first
    reproducible 3D printable L1-S1 lumbar spine motion segment and validated it
    in flexion-extension (F-E), lateral bending (LB), and axial rotation (AR) in
    the range of 15° against in vitro data and in silico models. The model
    consisted of L1 to S1 vertebrae, corresponding intervertebral discs,
    intertransverse, interspinous, anterior and posterior longitudinal
    ligaments, and facet joints. Displacement controlled pure moments were
    applied in the range of 15° in all three bending modes and the resisting
    moment was recorded. Rotational stiffness was calculated by plotting the
    resisting moment against rotation. The model reached a maximum of 5.66Nm and
    3.53Nm at 15° flexion and rotation, 3.84Nm and 3.93Nm at 15° right and left
    lateral bending, and 2.45Nm and 2.59Nm at 15° right and left axial rotations
    respectively. Scaling factors b=1.6 and g=3.0 were applied in LB and AR to
    calibrate the model response. Post scaling, the model response in all axes
    correlated well with in vitro and in silico literature data. An RMS error of
    1.57°, 1.64°, 0.82° in F-E, LB and AR respectively was estimated in the
    model when compared to in vitro human response. The reproduceable 3D printed
    analogue model described herein can be a valid substitute for cadaveric
    lumbar motion segments within the explored context of use.
    
    @article{1Manu2022,
      author = {Dukkipati, Siril Teja and Driscoll, Mark},
      doi = {10.2139/ssrn.4154354},
      issn = {1556-5068},
      journal = {SSRN Electronic Journal},
      title = {Development and Biomechanical Evaluation of a 3D Printed Analogue Lumbar Spine Motion Segment},
      url = {https://www.ssrn.com/abstract=4154354},
      year = {2022},
      dimensions = {true},
      google_scholar_id = {9yKSN-GCB0IC},
    }

I am active on my emails for anyone reaching out to me.
© Copyright 2024 Siril Teja Dukkipati. Last updated: August 01, 2024.