Baojun Li, PhD
Assistant Professor
Boston University School of Medicine
Dept of Radiology

PhD, University of Iowa
MS, Nanjing University

Baojun Li, Ph.D., received his Ph.D. from the Univ. of Iowa in 2004 (Advisors: Prof. Joe Reinhardt, Prof. Gary Christensen). His dissertation was on 3D Registration and Warping of Pulmonary CT for Lung Atlas and Radiation Treatment Planning. From 2002 to 2009, he worked at GE Healthcare in the Applied Science Lab as a Senior Scientist, where he was heavily involved in the research and development of Radiographic Tomosynthesis, Low-dose CT, and Dual-energy CT, which led to three commercial products and multiple awards. His current interests include CT clinical protocol optimization, dual-energy CT, and MR/CT/US texture analysis for automatic liver fibrosis staging. Baojun has authored more than 30 publications and 23 issued patents. Baojun currently serves as an Associate Editor for for Medical Physics Journal and OMICS Journal of Radiology, and a reviewer for IEEE Transactions on Medical Imaging, IEEE Transactions on Biomed Eng., Academic Radiology, International Journal of Computer Assisted Radiology and Surgery, Journal of Applied Clinical Medical Physics, Physica Medica, Journal of X-ray Science and Technology, Computational and Mathematical Methods in Medicine. He is an active member of American Association of Physicists in Medicine (AAPM) and Radiological Society of North America (RSNA), having served on several committees and task groups.

Board Certification:
American Board of Radiology


2016-2016 American Society of Neuro-Radiology: Outstanding Presentation Award in Spine Radiology(co-author)
2016-2016 RSNA: Trainee Research Grant (co-author)
2015-2015 RSNA: Certificate of Merit Educational Exhibit (co-author)
2012-2012 Medical Physics Journal: Top 20 Most Downloaded Article (July Issue)
2011-2011 Boston Medical Center/Boston University Medical Center: Featured story on BMC Brief - Top Priority: Reducing Radiation Exposure from CT Scans
2009-2009 GE Healthcare: Management Award - Distinguished innovations in ASIR and dual-energy CT
2009-2009 Runner-up of Best Radiological Software of the Year - ASIR
2008-2008 GE Healthcare: Management Award - ASIR feasibility, kernel design, and parameter tunning
2008-2008 GE Healthcare: Top Inventor Award
2007-2007 GE Healthcare: Management Award - Design of 3D extended FOV reconstruction algorithm
2007-2007 GE Healthcare: Patent Enforcement Award (patents infringed by another global manufacturer)
2005-2005 GE Healthcare: Management Award - Distinguished innovations in the development of radiographic tomosynthesis
Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.

  1. Yu H, Scalera J, Khalid M, Touret AS, Bloch N, Li B, Qureshi MM, Soto JA, Anderson SW. Texture analysis as a radiomic marker for differentiating renal tumors. Abdom Radiol (NY). 2017 Oct; 42(10):2470-2478.View Related Profiles. PMID: 28421244; DOI: 10.1007/s00261-017-1144-1;.
  2. Li B, Jara H, Yu H, O''Brien M, Soto J, Anderson SW. Enhanced Laws textures: A potential MRI surrogate marker of hepatic fibrosis in a murine model. Magn Reson Imaging. 2017 Apr; 37:33-40.View Related Profiles. PMID: 27856399; DOI: 10.1016/j.mri.2016.11.008;.
  3. Chang KJ, Collins S, Li B, Mayo-Smith WW. Optimizing CT technique to reduce radiation dose: effect of changes in kVp, iterative reconstruction, and noise index on dose and noise in a human cadaver. Radiol Phys Technol. 2017 Jun; 10(2):180-188. PMID: 27699635.
  4. Yu H, Touret AS, Li B, O''Brien M, Qureshi MM, Soto JA, Jara H, Anderson SW. Application of texture analysis on parametric T1 and T2 maps for detection of hepatic fibrosis. J Magn Reson Imaging. 2017 Jan; 45(1):250-259.View Related Profiles. PMID: 27249625; DOI: 10.1002/jmri.25328;.
  5. Li B. TU-AB-207A-00: CT Systems Course. Med Phys. 2016 Jun; 43(6):3739-3740. PMID: 28048020; DOI: 10.1118/1.4957435;.
  6. Fujita A, Buch K, Li B, Kawashima Y, Qureshi MM, Sakai O. Difference Between HPV-Positive and HPV-Negative Non-Oropharyngeal Head and Neck Cancer: Texture Analysis Features on CT. J Comput Assist Tomogr. 2016 Jan-Feb; 40(1):43-7.View Related Profiles. PMID: 26466116; DOI: 10.1097/RCT.0000000000000320;.
  7. Daginawala N, Li B, Buch K, Yu H, Tischler B, Qureshi MM, Soto JA, Anderson S. Using texture analyses of contrast enhanced CT to assess hepatic fibrosis. Eur J Radiol. 2016 Mar; 85(3):511-7.View Related Profiles. PMID: 26860661; DOI: 10.1016/j.ejrad.2015.12.009;.
  8. Yu H, Buch K, Li B, O'Brien M, Soto J, Jara H, Anderson SW. Utility of texture analysis for quantifying hepatic fibrosis on proton density MRI. J Magn Reson Imaging. 2015 Nov; 42(5):1259-65.View Related Profiles. PMID: 26477447; DOI: 10.1002/jmri.24898;.
  9. Buch K, Fujita A, Li B, Kawashima Y, Qureshi MM, Sakai O. Using Texture Analysis to Determine Human Papillomavirus Status of Oropharyngeal Squamous Cell Carcinomas on CT. AJNR Am J Neuroradiol. 2015 Jul; 36(7):1343-8.View Related Profiles. PMID: 25836725; DOI: 10.3174/ajnr.A4285;.
  10. Li B, Behrman RH. An investigation into factors affecting the precision of CT radiation dose profile width measurements using radiochromic films. Med Phys. 2015 Apr; 42(4):1765-72.View Related Profiles. PMID: 25832066; DOI: 10.1118/1.4914396;.
Showing 10 of 24 results. Show More

This graph shows the total number of publications by year, by first, middle/unknown, or last author.

Bar chart showing 24 publications over 10 distinct years, with a maximum of 7 publications in 2012

In addition to these self-described keywords below, a list of MeSH based concepts is available here.

Image processing
Medical imaging physics
Medical imaging system design per 21 CFR part 820 (quality system regulation)
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85 E. Concord St
Boston MA 02118
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