Joyoni Deydey

Associate Professor

Ph.D. in Electrical and Computer Engineering, 1999 - Carnegie Mellon University

Louisiana State University
Department of Physics & Astronomy
437 Nicholson Hall, Tower Dr.
Baton Rouge, LA 70803-4001
225-578-4289-Office
225-578-9048-Lab
[email protected]

Teaching

  • Fall: MedP 7111: Advanced Medical Imaging Physics
  • Spring: MedP 4111: Introduction to Medical Imaging
  • Spring: (Co-Instructor): Radiological Physics for Residents (LSU Health Sc)

Patents

  • J. Dey and S.J. Glick, "SPECT Camera Design", Patent No., US 8,519,351 B2, Aug 27, 2013. 
  • J. Dey, N. Bhusal, L. Butler, J. P. Dowling, K. Ham, V. Singh, "Phase Contrast X-ray Interferometry" US Patent No., 10872708 B2 , Dec 22, 2020.
  • J. Dey, N. Bhusal, L. Butler, J. Dowling, K. Ham and V. Singh, Patent No. US 11,488,740 B2, Nov 1, 2022. 

Students

Ph.D.

  • Hunter Meyer (Current, MSc/PhD). Best in Physics (Imaging), 2024, 66th Annual Meeting and Exhibition, American Association of Physicists in Medicine (AAPM)
  • Murtuza Taqi (Current, MSc/PhD).
  • Jingzhu Xu  (Graduated, May 2020). Received Coates Research Scholar Award, 2019, Physics & Astronomy for her dissertation topic.

MSc

  • Lacey Medlock  (Graduation, Fall 2023)
  • Bryce Smith (Graduated, Summer 2023)
  • Sydney Carr (Graduated, Summer 2023)
  • Ivan Hidrovo (Graduated, Summer 2022)
  • Elizabeth Park (Graduated, Summer 2022)
  • Hanif Soysal (Graduated, Summer 2019)
  • Narayan Bhusal (Graduated, December 2018)  

Undergraduate

  • Conner Dooley (REU, Summer 2024)
  • Victoria Fontenot (Summer 2024)
  • Bryce Smith (2019-2020, Summer 2020)
  • Ivan Hidrovo (2016, 2017, 2018 )
  • Megan Chesal 2016, 2017, 2018)
  • David Sanchez (REU, Summer 2017)

Research

Research Interest in Medical Imaging, Image Processing and Deep Learning: Interferometric Imaging, Imaging system design and optimization reducing patient dose, imaging time; Image reconstruction with physical modeling; Deep-learning for oncological prediction and staging; Mathematical (pde) models of tumor growth and treatment; Segmentation and registration. My research focuses on new systems and algorithms designed to help large patient populations with new imaging advances: for example, new methods of imaging, higher resolution and sensitivity systems for lowering the dose to patients, better quality diagnostic images, more efficient acquisition etc.; pathological quantification algorithms; predictions for oncology; correction of motion artifacts for better diagnosis.

Current Projects Include

Interferometry (X-ray and Neutrons)

  1. X-ray interferometry not only provides attenuation images provided by conventional X-ray/CT but also small angle scatter and differential phase images, affording higher soft-tissue contrast in images compared to conventional CT. We are investigating a novel modulated phase grating (MPG) system to bring Phase Contrast X-ray a step closer to the clinic. 

Example Relevant Publications/Patents (* indicates direct grad-students guided by J. Dey)

    • H. Meyer*, J. Dey, S. Carr*, K. Ham, L. Butler, K. M. Dooley, I. Hidrovo*, Markus Bleuel, T. Varga, J. Schulz, T. Beckenbach, and K. Kaiser, “Theoretical and experimental analysis of the modulated phase grating X-ray interferometer”, Scientific Reports, Nov 2024, https://doi.org/10.1038/s41598-024-78133-8
    • H. Meyer*, J. Dey, K. Ham, L. Butler, K. Dooley, A. Nöel, (2024, July 21-25), Best in Physics (Imaging): Investigating the Modulated Phase Grating Interferometer for Lung and Breast Cancer Screening, [Oral presentation, Lung Functional Imaging and Analysis], in 66th Annual Meeting & Exhibition of the American Association of Physicists in Medicine (AAPM) in Los Angeles, CA, United States. https://aapm.confex.com/aapm/2024am/meetingapp.cgi/Paper/12189
    • I. Hidrovo*, S. Carr*, K. Ham, L. G. Butler, A. Roy, J. Dey. “Observation of fringe patterns from a modulated phase grating x-ray interferometry system,” Proc. SPIE vol. 12031, Medical Imaging 2022: Physics of Medical Imaging, 120313L (2022) https://doi.org/10.1117/12.2611814
    •  E. Park*., J. Xu*, J. Dey, “Hybrid modulated-phase-grating for phase contrast x-ray for a varying fringe period clinical interferometry system”, Proc. SPIE vol. 12031, Medical Imaging 2022: Physics of Medical Imaging; 120313N (2022) https://doi.org/10.1117/12.2611610
    • J. Xu*, K. Ham, J. Dey, “X-ray Interferometry without Analyzer for Breast CT Application, a Simulation Study”, J. of Medical Imaging, vol. 7, no. 2, 023503 (2020), https://doi:10.1117/1.JMI.7.2.023503.
    • J. Dey, N. Bhusal*, L. Butler, J. P. Dowling, K. Ham, V. Singh, "Phase Contrast X-ray Interferometry" US Patent No., 10872708 , Dec 22, 2020
    • J. Dey, N. Bhusal*, L. Butler, J. Dowling, K. Ham and V. Singh, Patent No. US 11,488,740 B2, Nov 1, 2022

B. Neutron Interferometry: Neutrons show wave-particle duality. They manifest interference effects similar to X-rays and visible light.  Neutrons interact relatively weakly with metal compared to X-rays. This is useful for imaging bone-metal joints, where X-ray imaging would lead to strong metal artifacts. We wish to analyze and maximize the neutron interferometric beamline performance with simulations, theory and experiments. We also investigated a Modulated Phase Grating interferometry system that requires a single-phase grating with modulating structures to provide interference patterns at the detector. No analyzer grating or dual-phase gratings are needed. Collabortation NIST Center for Neutron Research, Gaithersburg, MD.

Example Relevant Publications/Patents (* indicates direct grad-students guided by J. Dey)

System Design and Optimization

  • Optimizing a Novel Gamma Camera design for Cardiac SPECT: We investigated a high-sensitive and/or high-resolution gamma-camera design with a system of Ellipsoid detectors with pinhole collimation for Cardiac SPECT, which is an important modality for assessing myocardial perfusion with millions of patients undergoing nuclear cardiology scans per year. In course of our research, we have built a comprehensive multi-pinhole system simulator and iterative reconstruction.

Example Relevant Publications/Patents (* indicates direct grad-students guided by J. Dey, ** indicates direct postdocs)

Deep-learning applications to Imaging (* indicates direct grad-students guided by J.Dey)

Mathematical Tumor Modeling

  • We investigated tumor progress and disease treatment monitoring by extracting biophysical-model-parameters from images: Oncology Imaging is performed using modalities including CT, MRI, FDG-PET, SPECT etc. Applying realistic mathematical models to serial-images of tumors extracts biologically relevant information from images, such as cell-motility, growth-rate etc. We build a mathematical Finite Element tumor-model where effects of the necrotic core are considered in addition to cell-motility, growth, apoptosis and migration. We also acquired 6 preclinical serial SPECT/CT datasets and fitted an existing ode compartmental volume model. 

Example Relevant Publications/Patents (* indicates direct grad or undergrad-students guided by J.Dey, ** indicates direct postdocs mentored by J.Dey)

Fat-mass and Lean-Mass Growth Models

  • We built a mathematical modeling of fat-mass and lean-mass growth upon overfeeding different diets.

Example Relevant Publications/Patents (** indicates direct postdocs mentored by JDey)

 

LSU