We attempt to understand fundamental relationships between function and structure in living tissues, “engineered” tissue constructs, and tissue analogs. Specifically, we are interested in how microstructure, hierarchical organization, composition, and material properties affect the biological function and dysfunction of tissues. We investigate biological and physical model systems at different time and length scales, making physical measurements in tandem with mathematical and computational models we use to design these experiments and interpret their findings. Primarily, we use water molecules to probe both equilibrium and dynamic interactions among tissue constituents over a wide range of time and length scales. At macroscopic length scales, to determine the equilibrium osmo-mechanical properties of well-defined model systems, we vary water content or ionic composition. To probe tissue microstructure and microdynamics, we employ atomic force microscopy (AFM), small-angle X-ray scattering (SAXS), small-angle neutron scattering (SANS), static light scattering (SLS), dynamic light scattering (DLS), and nuclear magnetic resonance (NMR) relaxometry and diffusometry. We also develop and use physics and engineering principles to help us understand how observed changes in tissue microstructure and physical properties affect transport of mass, charge, and momentum. The most direct noninvasive in vivo method for characterizing these essential transport processes in tissues is via magnetic resonance imaging (MRI), which we use to follow microstructural changes in development, degeneration, aging, and trauma. A goal of our basic tissue sciences research is to translate our quantitative methodologies and the understanding we glean from them from "bench to bedside."
Our tissue sciences activities dovetail with our basic and applied research in quantitative imaging, which is intended to generate measurements and maps of intrinsic physical quantities, including diffusivities, relaxivities, or exchange rates, rather than the qualitative images used in radiology. Our quantitative imaging group uses knowledge of physics, engineering, applied mathematics, imaging and computer sciences, and insights gleaned from our tissue sciences research to discover and develop novel imaging biomarkers that sensitively and specifically can detect changes in tissue composition, microstructure, or microdynamics. Our ultimate goal is to use these biomarkers to assess normal and abnormal development, diagnose childhood diseases and disorders, and characterize degeneration and trauma. Primarily, we use MRI as our imaging method of choice because it is well suited to many NICHD–mission critical applications: it is non-invasive, non-ionizing, generally requires no exogenous contrast agents or dyes, and is deemed safe for use with pregnant mothers and their fetuses, and children in both a clinical and a research setting.
One of our technical objectives has been to make clinical MRI scanners quantitative scientific instruments capable of producing reproducible, accurate and precise imaging data and to be able to measure and map useful imaging quantities for pre-clinical and clinical applications, including for single scans, longitudinal and multi-center studies, for personalized medicine, and for populating imaging databases with high-quality normative data.
SQITS News
Drs. Basser and Tasaki featured in: Fox, D. (2018). Brain Cells Communicate with Mechanical Pulses, Not Electric Signals. Scientific American, (Volume 318, Issue 4), pp.61-67.
Video (YouTube): Dr. Basser featured in "The Human Placenta Project" (for more information about the Human Placenta Project, click here)
Video (YouTube): Dr. Basser featured in "Research for a Lifetime: The Journey Forward" to commemorate NICHD's 50th anniversary
BRAIN Initiative: Bridging Gaps in Neuro Knowledge (NIH Catalyst, Volume 25 Issue 6, November–December 2017)
"Measuring the latency connectome" (34:00) – Plenary talk, 2017 NIH Research Festival (September 13, 2017)
Medical imaging device developed by NIH researchers awarded U.S. patent (May 19, 2017)
Video (YouTube): "The Invention and Development of Diffusion Tensor NMR and MRI at the NIH", recorded at a conference hosted by Cardiff University Brain Research Imaging Centre (CUBRIC), January 31 – February 1, 2017
Dr. Derek Jones, Former NIH Mentee, Directs Brain Imaging Center in Wales (NIH Record, July 1, 2016)
Trainee Chinedu Anyaeji selected to participate in the NICHD Scholars Program (The Catalyst, Volume 19, Issue 6, November-December 2011)
"Twitchy Nerves (Literally) May Explain Epilepsy, Pain" on NPR's Morning Edition (October 5, 2010)
Awards:
Dr. Peter Basser inducted into the American Institute for Medical and Biological Engineering (AIMBE) College of Fellows for his seminal contributions to the invention, development, and translation of diffusion tensor MRI (DTI), DTI tractography, and several neuro-technologies. (click below image to enlarge)
- Kudos from the Deputy Director of Intramural Research: http://ddir.nih.gov/Kudos.html
Dr. Peter Basser is awarded the Victor M. Haughton Award at the October annual meeting of the American Society of Functional Neuroradiology in Portland, OR. (NIH Record, November 17, 2017)
Dr. Ruiliang Bai receives the Summa Cum Laude Merit Award at ISMRM 2017.
Dr. Ruiliang Bai receives two Summa Cum Laude awards for outstanding posters at ISMRM 2016
Dr. Dan Benjamini receives the 2016 Giulio Cesare Borgia Prize at MRPM13
Dr. Basser et al. honored as the author of one of ISMRM's 30 most influential MRM papers at ISMRM 2014 in Milan, Italy. Photos here: https://twitter.com/alex_leemans/status/466644304342306816
Drs. Peter Basser, Denis LeBihan, and Carlo Pierpaoli receive the Award for Excellence in Technology Transfer at the 2013 FLC Mid-Atlantic Regional Meeting in Leesburg, VA (page 8 in PDF).
Peter Basser, 2010 ISMRM Fellow
- NICHD’s Basser Honored for MRI Technology. (2010). NIH Record, 62(15), p.5. PDF
Dr. Basser receives the 2008 ISMRM Gold Medal
Carlo Pierpaoli, 2008 ISMRM Fellow
Outreach:
Click here for info about the NIH Conference, "Diffusion Tensor MRI: From Bench to Bedside"
IP:
Smith, C. (2002) NIH commercializes new imaging technique. Nature Medicine 8(9): 906.
NIH Backgrounder, "Diffusion Tensor Magnetic Resonance Imaging"
Software:
Grants:
NIH BRAIN Initiative funded awards
The MRI Study of Normal Brain Development
Diffusion – Data Processing Center (DPC)
