Fang-Cheng Yeh1, Li Liu2, T Kevin Hitchens3,4, Yijen L Wu5,6. 1. Department of Psychology, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA. 2. Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA. 3. Animal Imaging Center, University of Pittsburgh, Pittsburgh, Pennsylvania, USA. 4. Department of Neurobiology, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA. 5. Rangos Research Center Animal Imaging Core, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA. 6. Department of Developmental Biology, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Abstract
PURPOSE: Diffusion MRI provides a noninvasive way to assess tissue microstructure. Based on diffusion MRI, we propose a model-free method called restricted diffusion imaging (RDI) to quantify restricted diffusion and correlate it with cellularity. THEORY AND METHODS: An analytical relation between q-space signals and the density of restricted spins was derived to quantify restricted diffusion. A phantom study was conducted to investigate the performance of RDI, and RDI was applied to an animal study to assess immune cell infiltration in myocardial tissues with ischemia-reperfusion injury. RESULTS: Our phantom study showed a correlation coefficient of 0.998 between cell density and the restricted diffusion quantified by RDI. The animal study also showed that the high-value regions in RDI matched well with the macrophage infiltration areas in the H&E stained slides. In comparison with diffusion tensor imaging (DTI), RDI exhibited its outperformance to detect macrophage infiltration and delineate inflammatory myocardium. CONCLUSION: RDI can be used to reveal cell density and detect immune cell infiltration. RDI exhibits better specificity than the diffusivity measurement derived from DTI. Magn Reson Med 77:603-612, 2017.
PURPOSE: Diffusion MRI provides a noninvasive way to assess tissue microstructure. Based on diffusion MRI, we propose a model-free method called restricted diffusion imaging (RDI) to quantify restricted diffusion and correlate it with cellularity. THEORY AND METHODS: An analytical relation between q-space signals and the density of restricted spins was derived to quantify restricted diffusion. A phantom study was conducted to investigate the performance of RDI, and RDI was applied to an animal study to assess immune cell infiltration in myocardial tissues with ischemia-reperfusion injury. RESULTS: Our phantom study showed a correlation coefficient of 0.998 between cell density and the restricted diffusion quantified by RDI. The animal study also showed that the high-value regions in RDI matched well with the macrophage infiltration areas in the H&E stained slides. In comparison with diffusion tensor imaging (DTI), RDI exhibited its outperformance to detect macrophage infiltration and delineate inflammatory myocardium. CONCLUSION: RDI can be used to reveal cell density and detect immune cell infiltration. RDI exhibits better specificity than the diffusivity measurement derived from DTI. Magn Reson Med 77:603-612, 2017.
Authors: Matthew D Silva; Tsuyoshi Omae; Karl G Helmer; Fuhai Li; Marc Fisher; Christopher H Sotak Journal: Magn Reson Med Date: 2002-11 Impact factor: 4.668
Authors: David E Sosnovik; Choukri Mekkaoui; Shuning Huang; Howard H Chen; Guangping Dai; Christian T Stoeck; Soeun Ngoy; Jian Guan; Ruopeng Wang; William J Kostis; Marcel P Jackowski; Van J Wedeen; Sebastian Kozerke; Ronglih Liao Journal: Circulation Date: 2014-03-11 Impact factor: 29.690
Authors: Nathan S White; Trygve B Leergaard; Helen D'Arceuil; Jan G Bjaalie; Anders M Dale Journal: Hum Brain Mapp Date: 2012-01-16 Impact factor: 5.038
Authors: William D Hula; Sandip Panesar; Michelle L Gravier; Fang-Cheng Yeh; Haley C Dresang; Michael Walsh Dickey; Juan C Fernandez-Miranda Journal: Brain Date: 2020-08-01 Impact factor: 13.501
Authors: Daria Nesterovich Anderson; Gordon Duffley; Johannes Vorwerk; Alan D Dorval; Christopher R Butson Journal: J Neural Eng Date: 2018-10-02 Impact factor: 5.379
Authors: Lauren R Borchers; Emily L Dennis; Lucy S King; Kathryn L Humphreys; Ian H Gotlib Journal: J Affect Disord Date: 2020-12-24 Impact factor: 4.839
Authors: Chuan Huang; Minos Kritikos; Sean A P Clouston; Yael Deri; Mario Serrano-Sosa; Lev Bangiyev; Stephanie Santiago-Michels; Sam Gandy; Mary Sano; Evelyn J Bromet; Benjamin J Luft Journal: J Alzheimers Dis Date: 2021 Impact factor: 4.472
Authors: Carlos A Sanchez-Catasus; Nicolaas I Bohnen; Fang-Cheng Yeh; Nicholas D'Cruz; Prabesh Kanel; Martijn L T M Müller Journal: J Nucl Med Date: 2020-08-28 Impact factor: 10.057