Professional Résumé

Research Interests

 PET/SPECT/CT Image Processing, Image Reconstruction, 3D Geometry, Motion Estimation and Correction, Biomedical Signal Processing, Multi-resolution filtering,  Learning algorithms (Support Vector, Neural networks)

EDUCATION

Ph.D. in Electrical & Computer Engineering, University of Houston, Houston, TX,                                              2002-2006

Thesis: Development of an EEG-based automated neonatal seizure detection system

B.E. in Electrical Engineering, Jadavpur University, Kolkata, India                                                                    1997-2001

Research experience

 Department of Radiology, University of Massachusetts Medical School, Worcester, MA                              2007-Present                                       

 Research Instructor  with Dr. Michael King                                                                                                    2009-Present

Postdoctoral  Research Fellow with Dr. Michael King                                                                                     2007-2009   

Projects                                     

  • Sparse Reconstruction (Ongoing) - Investigation of novel reconstruction methods for low-count emission imaging, and low-cost multi-pinhole SPECT systems.
  • Data-driven Motion Estimation in SPECT (Ongoing) – Patient motion estimation from SPECT projection data with little or no information from additional surrogate motion signals. Strategies investigated are 2D-3D Registration and combined optimization of motion and activity using maximum likelihood.  
  • Analytical and Iterative Fan-beam algorithms for SPECT – Investigated different strategies for attenuation correction in analytical reconstruction. Implemented a novel shift-variant resolution compensation method for better image quality within iterative reconstruction, and conducted an image quality comparison study at multiple count levels between Parallel and Fan-beam SPECT for brain perfusion imaging using Tc99m (HMPAO).
  •  Motion estimation - Separation of respiratory motion and patient body motion from a signal acquired using a motion-tracking system for correcting SPECT images. Methods include Total-variation based smoothing, SVD & Quaternion-based algorithms for estimation of motion.

 Electrical and Computer Engineering Department, University of Houston, Houston, TX                                2002-2006

Graduate Research Assistant with Dr. John Glover

Projects

  • Automated Neonatal Seizure Detection system using EEG signal. Methods include signal analysis using Wavelets, Neural Networks, Clustering techniques.
  •  Implemented algorithms for application of Total Variation-based denoising to Ultrasound Images. Studied the de-noising performance under different noise models. (Course Project)
  •  Implemented different neural network architectures (Back Propagation Algorithms, Error-based and Entropy-based minimization routines)

Indian Statistical Institute, Kolkata, India

Summer Intern with Dr. Sarbani Palit, Dr. Debashis Sengupta                                                                         2001

 Analysis of Functional MRI data by Wavelet Decomposition. Work involved reconstruction of 3-dimensional activation produced in the brain by finger-tapping using wavelets.

AWARDS AND HONORS

  • IEEE Senior Membership in 2011.
  • Trainee Grant by IEEE Medical Imaging Conference for presenting work at the conference in 2007, 2008 and 2009. Grant is awarded to selected papers from the applicant pool by peer-reviewed scoring of abstracts.
  • A co-authored paper presented at Society of Nuclear Medicine Conference, New Orleans, LA, 2008 (Conference pub. 19) was awarded best paper.
  • Travel Fellowship awarded by American Clinical Neurophysiology Society to attend Annual meeting in 2006.
  • Cullen & Ehrhardt fellowship by the Department of Electrical & Computer Engineering at the University of Houston in 2004-2006.

PATENTS

Title :  Image reconstruction including shift-variant blur compensation, filed by Philips Medical Systems, CA, in 2009.

Link :  http://patentscope.wipo.int/search/en/WO2011007270

SOFTWARE SKILLS 

Languages: MATLAB (Advanced), Linux Scripting in Bash shell, C (Advanced), C#(beginner),C++, 
ITK, FLTK, VTK (as part of course work), assembly language programming (Motorola 68HC11 in
struction set on HandyBoard), Statistical Analysis using SAS 
 
Platforms: Windows, Linux 
Other: Experienced with NCAT phantoms, Monte-Carlo simulation of SPECT geometries using SIMIND

 PUBLICATIONS

 
Ċ CV2012JMM_website.pdf
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  121k v. 3 Dec 17, 2012, 10:04 AM Joyeeta Mitra