Precision Radio-Theranostics Translational Laboratories (PRT2L)

Jha_Abhinav jpg crop

Abhinav K. Jha

Contact Information
Washington University School of Medicine
Department of Radiology
CB 8225
510 S. Kingshighway
St. Louis, MO 63110

Room 4424F Clinical Sciences Research Building
(314) 273-2655 (Medical Campus)

Room 2002 Brauer Hall
(314) 935-5897 (Danforth Campus:)

Current Position
Assistant Professor of Radiology and Biomedical Engineering

Research Interests
My research is in the design of medical imaging systems and algorithms for optimized performance in clinical tasks using quantitative measures of task performance. A major area of focus is on improving clinical quantitative imaging, with applications such as in improving the reliability of imaging biomarkers for monitoring cancer-treatment response and in improving dosimetry for therapy. Reducing radiation dose for imaging is another area of focus. Research areas:

  • Objective assessment of image quality
  • Image analysis and reconstruction
  • Machine learning for radiology
  • Clinical translation of computational imaging methods

Key Publications:

  1. A. K. Jha, Y. Zhu, S, Arridge, D. F. Wong, and A. Rahmim, “Incorporating reflection boundary conditions in radiative transport equation-based photon propagation and image reconstruction in diffuse optical imaging”, Biomedical Optics Express, 9(4), 1389-1407, 2018.
  2. A. K. Jha, E. Mena, B. Caffo, S. Ashrafinia, A. Rahmim, E. C. Frey and R. Subramaniam, “Practical no-gold-standard framework to evaluate quantitative imaging methods: Application to lesion segmentation in PET”, J. Med. Imag. (Special Section on PET imaging), 4(1), 2017.
  3. A. K. Jha, J. J. Rodriguez, A. T. Stopeck, “A maximum-likelihood method to estimate a single ADC value of lesions using diffusion MRI”, Mag. Res. Med., 76(6), 2016.
  4. A. K. Jha, B. Caffo, E. Frey, “A no-gold-standard technique for objective assessment of quantitative nuclear-medicine imaging methods”, Phys. Med. Biol., 61(7), 2780-2800, 2016.
  5. A. K. Jha, H. H. Barrett, E. Frey, E. Clarkson, L. Caucci, M. A. Kupinski, “Singular value decomposition for photon-processing nuclear imaging systems and applications for reconstruction and computing null functions”, Phys. Med. Biol., 60, 7359-7385, 2015.