Research of the Laboratory for Structural, Physiologic and Functional Imaging (LSPFI) is aimed at quantitatively characterizing tissue properties and their relationship to physiology and function by means of spatially resolved magnetic resonance in humans.
Current research is focused on development of novel image-based quantitative methods for the study of tissue oxygen metabolism at enhanced temporal and spatial resolution, and their application to the study of degenerative and acquired vascular disease of the brain and other organ systems. A related area of concentration is development of technology for the evaluation of preclinical vascular disease allowing quantification of markers of endothelial dysfunction in the systemic circulation. Applications of these methods currently in progress target the peripheral, central and neurovascular system in subjects exposed to e-cigarette aerosol inhalation, subjects affected by various lifestyle related conditions, and in patients with sleep disorders. Other ongoing projects target development of new techniques for the study of bone matrix and mineral properties applied to the evaluation and treatment of degenerative bone disease, the conception of methods for constructing cranial models as surgical aids, and assessment of metabolic and degenerative skeletal disorders by means of image-based computational biomechanics with the longer-term goal of creating orthopedic applications, including patient-specific hip fracture prediction involving generation of high-resolution 3D anatomical models.
0000-0003-3430-1840
Selected Publications
Deller G, Liu L, Hicks JW, Narciso L, Wehrli FW, Jaroszynski K, Langham MC, St Lawrence K.: A reference-based PET/MRI method for quantifying activation-induced changes in cerebral oxygen metabolism. J Cereb Blood Flow Metab 48(8), Aug 2026.
Rajapakse CS, Kamona N, Leonard MB, Long J, Batzdorf AS, Sun W, Wehrli FW. : MRI reveals selective recovery in bone microarchitecture two years following kidney transplantation. Bone 212, Jul 2026.
Jaroszynski KM, Dindarian S, Lee H, Detre JA, Wehrli FW.: Age dependence of brain oxygen metabolism in adults assessed by 3D constrained quantitative BOLD MRI. Neuroimage 334: 121967, Jul 2026.
Nabbout M, Hosseini M, Quach H, Langham MC, Caporale AS, Guo W, Jaroszynski K, Leone FT, Strasser AA, Wehrli FW.: Acute effects of smoking and vaping on markers of vascular function via quantitative MRI. J Magn Reson Imaging Jul 2026.
Rajapakse CS, Kamona N, Leonard MB, Long J, Batzdorf AS, Sun W, Wehrli FW.: MRI reveals selective recovery in bone microarchitecture two years following kidney transplantation. Bone 212: 118030, Jul 2026.
Dennison JB, Wu PH, Langham MC, Schwab RJ, Detre JA, Wehrli FW: Neurometabolic response to apneic stimuli tracks global grey matter volume deficits in patients with obstructive sleep apnea. J Sleep Res 35(3), Jun 2026.
Vu BD, Kamona N, Wehrli FW, Deshpande RS, Song HK, Hu A, Baccaglini E, Bartlett SP, Rajapakse CS.: DREAMER: Rapid and simultaneous multiple contrast magnetic resonance imaging of solid and soft tissue. Magn Reson Med 95(3), Mar 2026.
Heo Y, Oh SS, Jung WB, Wehrli FW, Lee H.: Rapid whole-brain venous cerebral blood volume mapping using velocity-selective venous-spin-labeling with 3D GRASE. Neuroimage 324: 121622, Dec 2025.
Kamona N, Hosseini M, Langham MC, Wehrli FW.: Renal metabolic rate of oxygen in response to hypoxia challenges by means of quantitative MRI in humans. NMR Biomed 38(12), Dec 2025.
Jaroszynski KM, Lee H, Langham MC, Wehrli FW.: Comparison of brain oxygen metabolic parameters between constrained qBOLD and whole-brain oximetric methods at baseline and in response to a physiologic stimulus. NMR Biomed 38(9), Sept 2025.
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Last updated: 08/25/2026
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