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Faculty & Staff Profiles

Assistant Professor, Applied Health Sciences

Faculty photo for Junguo Bian

I joined Loyola in 2016 as a clinical medical physicist and as an assistant professor at the Stritch School of Medicine. My research mainly focuses on the development and evaluation of advanced reconstruction algorithms in cone-beam CT (CBCT), with an emphasis on their applications to improve CT imaging quality, reduce CT imaging dose, and optimize the design of CT imaging systems and protocols. My dissertation was awarded as the Best Dissertation by the Graduate Program in Medical Physics (GPMP) at the University of Chicago. I am very active in the field of medical imaging and have served as a reviewer for a number of medical imaging journals and several international conferences.

Research Interests

My clinical interests include CT imaging protocol optimization, dual-energy CT, breast CT, and tomosynthesis.

  • Bachelor's degree, Tsing Hua University
  • Master's degree, Purdue University
  • PhD, The University of Chicago  

What prompted you to pursue your field?

When I was in graduate school, one of my college classmates introduced me to the Medical Physics program. I realized that this is such a fascinating field and decided to pursue a career in medical physics.

What would you tell a student about why your field is exciting or important?

Medical physics mainly includes medical imaging (radiology) and cancer treatment (radiation oncology). It is a very interdisciplinary field of applied physics and represents the cutting edge of medical instruments.


  • Investigation of cone-beam CT image quality trade-off for image-guided radiation therapy Bian,J.; Sharp,G. C.; Park,Y. K.; Ouyang,J.; Bortfeld,T.; El Fakhri,G. Physics in Medicine and Biology 2016 ;61(9):3317-3346
  • Spectral CT using multiple balanced K-edge filters Rakvongthai,Y.; Worstell,W.; El Fakhri,G.; Bian,J.; Lorsakul,A.; Ouyang,J. IEEE TRANSACTIONS ON MEDICAL IMAGING 2015 ;34(3):740-747
  • Algorithm-enabled exploration of image-quality potential of cone-beam CT in image-guided radiation therapy Han,X.; Pearson,E.; Pelizzari,C.; Al-Hallaq,H.; Sidky,E. Y.; Bian,J.; Pan,X. Physics in Medicine and Biology 2015 ;60(12):4601-4633
  • Investigation of iterative image reconstruction in low-dose breast CT Bian,J.; Yang,K.; Boone,J. M.; Han,X.; Sidky,E. Y.; Pan,X. Physics in Medicine and Biology 2014 ;59(11):2659-2685
  • Optimization-based image reconstruction from sparse-view data in offset-detector CBCT Bian,J.; Wang,J.; Han,X.; Sidky,E. Y.; Shao,L.; Pan,X. Physics in Medicine and Biology 2013 ;58(2):205-230
  • Optimization-based reconstruction of sparse images from few-view projectionsHan,X.; Bian,J.; Ritman,E. L.; Sidky,E. Y.; Pan,X. Physics in Medicine and Biology 2012 ;57(16):5245-5273
  • Algorithm-enabled low-dose micro-CT imaging Han,X.; Bian,J.; Eaker,D. R.; Kline,T. L.; Sidky,E. Y.; Ritman,E. L.; Pan,X. IEEE TRANSACTIONS ON MEDICAL IMAGING 2011 ;30(3):606-620
  • Image reconstruction from sparse data in synchrotron-radiation-based microtomography Xia,D.; Xiao,X.; Bian,J.; Han,X.; Sidky,E. Y.; De Carlo,F.; Pan,X. The Review of scientific instruments 2011 ;82(4):043706
  • Investigation of Sparse Data Mouse Imaging Using Micro-CT with a Carbon-Nanotube-Based X-ray Source Bian,J.; Han,X.; Sidky,E. Y.; Cao,G.; Lu,J.; Zhou,O.; Pan,X. Tsinghua science and technology 2010 ;15(1):74-78
  • Evaluation of sparse-view reconstruction from flat-panel-detector cone-beam CTBian,J.; Siewerdsen,J. H.; Han,X.; Sidky,E. Y.; Prince,J. L.; Pelizzari,C. A.; Pan,X. Physics in Medicine and Biology 2010 ;55(22):6575-6599
  • Region of Interest Imaging for a General Trajectory with the Rebinned BPF Algorithm Bian,J.; Xia,D.; Sidky,E. Y.; Pan,X. Tsinghua science and technology 2010 ;15(1):68-73
  • Dual-Energy Technique at Low Tube Voltages for Small Animal Imaging Cho,S.; Sidky,E. Y.; Bian,J.; Pan,X. Tsinghua science and technology 2010 ;15(1):79-86
  • 3D ROI-Image reconstruction from cone-beam data Xia,D.; Cho,S.; Bian,J.; Zou,Y.; Sidky,E. Y.; Zuo,N.; Pan,X. Nuclear Instruments and Methods in Physics Research Section A 2007 ;580(2):866-875
  • Hazardous material identification using a neurofizzy methodology. Bian,J.; Gao,R.; Tsoukalas,L. H. 2007 ;16(5):901-906
  • Region-of-interest image reconstruction in circular cone-beam microCT Cho,S.; Bian,J.; Pelizzari,C. A.; Chen,C. T.; He,T. C.; Pan,X. Medical physics 2007 ;34(12):4923-4933
  • A rebinned backprojection-filtration algorithm for image reconstruction in helical cone-beam CT Yu,L.; Xia,D.; Zou,Y.; Sidky,E. Y.; Bian,J.; Pan,X. Physics in Medicine and Biology 2007 ;52(18):5497-5508
  • Comparison of quadratic- and median-based roughness penalties for penalized-likelihood sinogram restoration in computed tomography La Riviere,P. J.; Bian,J.; Vargas,P. A. International journal of biomedical imaging 2006 ;2006:41380
  • Penalized-likelihood sinogram restoration for computed tomography La Riviere,P. J.; Bian,J.; Vargas,P. A. IEEE TRANSACTIONS ON MEDICAL IMAGING 2006 ;25(8):1022-1036