Diffusion tensor imaging

By Inga K. Koerte, M. Muehlmann. 2013

858 citations recorded by the source corpus.

Diffusion tensor imaging : , Diffusion tensor imaging : , کتابخانه دیجیتال جندی شاپور اهواز

Subfields: Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/e31919766c1067c42fb2167455bd6cb867df74e5

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Radiology, Nuclear Medicine and Imaging

1. Adrian V. Dalca
2. Daniel C. Alexander
3. Hui Zhang
4. Jocelyn S. Mora
5. Malte Hoffmann
6. Andrew Hoopes
7. Bruce Fischl
8. Antonio Cerasa

Citations in the corpus

• Diffusion Tensor Imaging and Beyond (2011, neutral): “(56), there are still large variations in data quality across imaging centers due to, for instance, differences in scanner hardware, pulse sequences, and available scan times.”
• Random Forest Algorithm for the Classification of Neuroimaging Data in Alzheimer's Disease: A Systematic Review (2017, methodology): “…diffusion tensor imaging (DTI), single photon emission tomography (SPECT), and positron emission tomography (PET) have been widely and successfully applied in the study of MCI and AD (Greicius et al., 2004; Matsuda, 2007; Fripp et al., 2008; Frisoni et al., 2010; Acosta-Cabronero and Nestor, 2014).”
• The early development of brain white matter: a review of imaging studies in fetuses, newborns and infants. (2014, neutral): “This process includes several steps (Butt and Berry 2000; Hardy and Friedrich 1996; Prayer and Prayer 2003).”
• SANDI: A compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI (2019, background): “, 2016)), and showed that factors not considered by the underlying microstructural models, such as intercomponent and intracompartmental kurtosis, may cause misestimation of the model parameters (Henriques et al., 2019a; Jespersen et al., 2019).”
• Radiation-induced brain injury: A review (2012, background): “Currently, there are ongoing studies that obtain DTI and cognitive impairment measurements prior to fWBI and over follow-up times as long as 18 months after fWBI in an attempt to identify DTI biomarkers which predict the onset and progression of radiation-induced cognitive impairment (Chapman et al.”
• SynthStrip: skull-stripping for any brain image (2022, background): “For example, diffusion (Holdsworth et al., 2012; Jones and Leemans, 2011) and functional MRI analyses (Ashburner, 2009; Jenkinson et al.”
• Automated Probabilistic Reconstruction of White-Matter Pathways in Health and Disease Using an Atlas of the Underlying Anatomy (2011, neutral): “…fasciculus (Hubl et al., 2004; Jeong et al., 2009), superior longitudinal fasciculus (Hubl al., 2004; Kubicki et al., 2005; Jones et al., 2006; Karlsgodt et al., 2008; Jeong et al., 2009), and uncinate (Kubicki et al., 2002; Burns al., 2003; Mori et al., 2007; Price et al., 2008; Szeszko et…”
• Tractography - where do we go from here? (2011, neutral): “Data acquisition strategies ultimately depend on the subsequent modeling approach (Tournier et al., 2011) (and of course on the available hardware and scanning time).”