Brian Joseph Soher

Image of Brian Joseph Soher

Associate Professor of Radiology

My research focuses on the development and clinical translation of quantitative, multi-parametric MRI and MR spectroscopy (MRS) data acquisition and analysis techniques. These methods are applicable to the characterization of both chronic and focal pathologies, originally in the brain, but more recently in other organs such as liver and muscle. The overarching goals of these investigations are 1) to improve acquired data quality, 2) to obtain the maximum amount of useful information and/or to exclude confounding signals, and 3) to acquire additional a priori information that can make a given analysis more robust. My practical goals are to develop flexible, reusable and user-friendly tools and techniques, primarily through open source software packages, that can be applied in a robust manner for clinical investigative and diagnostic use.

My early research aimed at developing robust quantitation methods for spectroscopic imaging (SI) data analysis in the brain. As part of a multi-disciplinary team I helped develop a cross-platform GUI-driven suite of spectral processing/analysis tools to simplify the use of SI in clinical research. Throughout my career, I have continued work to expand spatial coverage, to create simulations of metabolic data acquisition to extend the accuracy of the models used to fit the SI data, and to develop acquisition and post-processing algorithms to remove unwanted water and lipid signals. This work led up to the idea for which I received my first R01. It has also resulted in two open-source software packages, MIDAS and VeSPA (http://mrir.med.miami.edu:8000/midas and http://scion.duhs.duke.edu/vespa) that have received wide acceptance by many researchers and groups. The latest versions of these tools are in active use in CAMRD studies investigating 1) volumetric changes in physiologic biomarkers of cellular breakdown in the brain due to high grade glioma progression and 2) changes in liver energy homeostasis due to a challenge using injected fructose. I also work actively to educate my colleagues as to the existence and applicability of these and other tools that I have access to due to my contacts in the MR research community.

More recently, I have developed a number of research projects in the rapidly changing area of body MR. Initial projects were to characterize the use of high-speed 3D MR imaging sequences to characterize the presence of water and fat in various organs. Standard in- and opposed-phase techniques were compared with newer fat-water separated imaging techniques. Fat-water separation imaging methods create individual water and fat images that maintain useful anatomic references while allowing both fat and water signals to be viewed separately. In parallel with our technique development for water-far imaging techniques, I developed and patented a novel technique for utilizing the heat insensitive nature of fat to non-invasively map temperature changes during the application of hyperthermia treatments for sarcomas.

Currently, I am investigating the use of tissue modelling to estimate absolute tissue fat fractions to provide a normalization technique for comparing in- and opposed-phase measures across platforms, sequences and field strengths. I am also working on an R01 that measures dynamic liver energy metabolism to help detect and stage NASH patients.

Appointments and Affiliations

  • Associate Professor of Radiology
  • Affiliate of the Center for Brain Imaging and Analysis

Contact Information:

  • Office Location: North 1821A, Durham, NC 27710
  • Office Phone: (919) 684-7350
  • Email Address: brian.soher@duke.edu

Education:

  • Ph.D. Johns Hopkins University, 1996

Representative Publications:

    • Steinberg, J; Soher, BJ, Improved initial value estimation for short echo time magnetic resonance spectroscopy spectral analysis using short T2 signal attenuation., Magnetic Resonance in Medicine, vol 67 no. 5 (2012), pp. 1195-1202 [10.1002/mrm.23102] [abs].
    • Wyatt, C; Soher, BJ; Arunachalam, K; MacFall, J, Comprehensive analysis of the Cramer-Rao bounds for magnetic resonance temperature change measurement in fat-water voxels using multi-echo imaging., Magnetic Resonance Materials in Physics, Biology and Medicine, vol 25 no. 1 (2012), pp. 49-61 [10.1007/s10334-011-0247-x] [abs].
    • Wyatt, CR; Soher, BJ; MacFall, JR, Correction of breathing-induced errors in magnetic resonance thermometry of hyperthermia using multiecho field fitting techniques., Medical physics, vol 37 no. 12 (2010), pp. 6300-6309 [10.1118/1.3515462] [abs].
    • Kornak, J; Young, K; Soher, BJ; Maudsley, AA, Bayesian k -space-time reconstruction of MR spectroscopic imaging for enhanced resolution., IEEE Transactions on Medical Imaging, vol 29 no. 7 (2010), pp. 1333-1350 [10.1109/TMI.2009.2037956] [abs].
    • Soher, BJ; Wyatt, C; Reeder, SB; MacFall, JR, Noninvasive temperature mapping with MRI using chemical shift water-fat separation., Magnetic Resonance in Medicine, vol 63 no. 5 (2010), pp. 1238-1246 [10.1002/mrm.22310] [abs].
    • Kaiser, LG; Marjańska, M; Matson, GB; Iltis, I; Bush, SD; Soher, BJ; Mueller, S; Young, K, (1)H MRS detection of glycine residue of reduced glutathione in vivo., Journal of Magnetic Resonance, vol 202 no. 2 (2010), pp. 259-266 [10.1016/j.jmr.2009.11.013] [abs].
    • Marin, D; Soher, BJ; Dale, BM; Boll, DT; Youngblood, RS; Merkle, EM, Characterization of adrenal lesions: comparison of 2D and 3D dual gradient-echo MR imaging at 3 T--preliminary results., Radiology, vol 254 no. 1 (2010), pp. 179-187 [10.1148/radiol.09090486] [abs].
    • Wyatt, C; Soher, B; Maccarini, P; Charles, HC; Stauffer, P; Macfall, J, Hyperthermia MRI temperature measurement: evaluation of measurement stabilisation strategies for extremity and breast tumours., International Journal of Hyperthermia (Informa), vol 25 no. 6 (2009), pp. 422-433 [10.1080/02656730903133762] [abs].
    • Schindera, ST; Soher, BJ; Delong, DM; Dale, BM; Merkle, EM, Effect of echo time pair selection on quantitative analysis for adrenal tumor characterization with in-phase and opposed-phase MR imaging: initial experience., Radiology, vol 248 no. 1 (2008), pp. 140-147 [10.1148/radiol.2481071069] [abs].
    • Soher, BJ; Young, K; Bernstein, A; Aygula, Z; Maudsley, AA, GAVA: spectral simulation for in vivo MRS applications., Journal of Magnetic Resonance, vol 185 no. 2 (2007), pp. 291-299 [10.1016/j.jmr.2007.01.005] [abs].
    • Maudsley, AA; Darkazanli, A; Alger, JR; Hall, LO; Schuff, N; Studholme, C; Yu, Y; Ebel, A; Frew, A; Goldgof, D; Gu, Y; Pagare, R; Rousseau, F; Sivasankaran, K; Soher, BJ; Weber, P; Young, K; Zhu, X, Comprehensive processing, display and analysis for in vivo MR spectroscopic imaging., Nmr in Biomedicine, vol 19 no. 4 (2006), pp. 492-503 [10.1002/nbm.1025] [abs].
    • Zhu, XP; Young, K; Ebel, A; Soher, BJ; Kaiser, L; Matson, G; Weiner, WM; Schuff, N, Robust analysis of short echo time (1)H MRSI of human brain., Magnetic Resonance in Medicine, vol 55 no. 3 (2006), pp. 706-711 [10.1002/mrm.20805] [abs].
    • Soher, BJ; Pattany, PM; Matson, GB; Maudsley, AA, Observation of coupled 1H metabolite resonances at long TE., Magnetic Resonance in Medicine, vol 53 no. 6 (2005), pp. 1283-1287 [10.1002/mrm.20491] [abs].
    • Maudsley, AA; Govindaraju, V; Young, K; Aygula, ZK; Pattany, PM; Soher, BJ; Matson, GB, Numerical simulation of PRESS localized MR spectroscopy., Journal of Magnetic Resonance, vol 173 no. 1 (2005), pp. 54-63 [10.1016/j.jmr.2004.11.018] [abs].
    • Zhu, X-P; Du, A-T; Jahng, G-H; Soher, BJ; Maudsley, AA; Weiner, MW; Schuff, N, Magnetic resonance spectroscopic imaging reconstruction with deformable shape-intensity models., Magnetic Resonance in Medicine, vol 50 no. 3 (2003), pp. 474-482 [10.1002/mrm.10572] [abs].
    • Soher, BJ; Vermathen, P; Schuff, N; Wiedermann, D; Meyerhoff, DJ; Weiner, MW; Maudsley, AA, Short TE in vivo (1)H MR spectroscopic imaging at 1.5 T: acquisition and automated spectral analysis., Magnetic Resonance Imaging, vol 18 no. 9 (2000), pp. 1159-1165 [abs].
    • Soher, BJ; Young, K; Govindaraju, V; Maudsley, AA, Automated spectral analysis III: application to in vivo proton MR spectroscopy and spectroscopic imaging., Magnetic Resonance in Medicine, vol 40 no. 6 (1998), pp. 822-831 [abs].
    • Young, K; Soher, BJ; Maudsley, AA, Automated spectral analysis II: application of wavelet shrinkage for characterization of non-parameterized signals., Magnetic Resonance in Medicine, vol 40 no. 6 (1998), pp. 816-821 [abs].
    • Young, K; Govindaraju, V; Soher, BJ; Maudsley, AA, Automated spectral analysis I: formation of a priori information by spectral simulation., Magnetic Resonance in Medicine, vol 40 no. 6 (1998), pp. 812-815 [abs].
    • Soher, BJ; Hurd, RE; Sailasuta, N; Barker, PB, Quantitation of automated single-voxel proton MRS using cerebral water as an internal reference., Magnetic Resonance in Medicine, vol 36 no. 3 (1996), pp. 335-339 [abs].
    • Soher, BJ; van Zijl, PC; Duyn, JH; Barker, PB, Quantitative proton MR spectroscopic imaging of the human brain., Magnetic Resonance in Medicine, vol 35 no. 3 (1996), pp. 356-363 [abs].