TY - JOUR A1 - Sperl, Jonathan I. A1 - Sprenger, Tim A1 - Tan, Ek Tsoon A1 - Menzel, Marion Irene A1 - Hardy, Christopher J. A1 - Marinelli, Luca T1 - Model‐based denoising in diffusion‐weighted imaging using generalized spherical deconvolution JF - Magnetic Resonance in Medicine UR - https://doi.org/10.1002/mrm.26626 Y1 - 2017 UR - https://doi.org/10.1002/mrm.26626 SN - 1522-2594 VL - 78 IS - 6 SP - 2428 EP - 2438 PB - Wiley CY - Hoboken ER - TY - JOUR A1 - Benjamin, Arnold Julian Vinoj A1 - Gómez, Pedro A. A1 - Golbabaee, Mohammad A1 - Bin Mahbub, Zaid A1 - Sprenger, Tim A1 - Menzel, Marion Irene A1 - Davies, Mike E. A1 - Marshall, Ian T1 - Multi-shot Echo Planar Imaging for accelerated Cartesian MR Fingerprinting: An alternative to conventional spiral MR Fingerprinting JF - Magnetic Resonance Imaging UR - https://doi.org/10.1016/j.mri.2019.04.014 KW - cartesian MRF KW - multi-shot EPI KW - quantitative maps Y1 - 2019 UR - https://doi.org/10.1016/j.mri.2019.04.014 SN - 0730-725X VL - 2019 IS - 61 SP - 20 EP - 32 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Lacerda, Luis M. A1 - Sperl, Jonathan I. A1 - Menzel, Marion Irene A1 - Sprenger, Tim A1 - Barker, Gareth J. A1 - Dell'Acqua, Flavio T1 - Diffusion in realistic biophysical systems can lead to aliasing effects in diffusion spectrum imaging JF - Magnetic Resonance in Medicine N2 - Purpose Diffusion spectrum imaging (DSI) is an imaging technique that has been successfully applied to resolve white matter crossings in the human brain. However, its accuracy in complex microstructure environments has not been well characterized. Theory and Methods Here we have simulated different tissue configurations, sampling schemes, and processing steps to evaluate DSI performances' under realistic biophysical conditions. A novel approach to compute the orientation distribution function (ODF) has also been developed to include biophysical constraints, namely integration ranges compatible with axial fiber diffusivities. Results Performed simulations identified several DSI configurations that consistently show aliasing artifacts caused by fast diffusion components for both isotropic diffusion and fiber configurations. The proposed method for ODF computation showed some improvement in reducing such artifacts and improving the ability to resolve crossings, while keeping the quantitative nature of the ODF. Conclusion In this study, we identified an important limitation of current DSI implementations, specifically the presence of aliasing due to fast diffusion components like those from pathological tissues, which are not well characterized, and can lead to artifactual fiber reconstructions. To minimize this issue, a new way of computing the ODF was introduced, which removes most of these artifacts and offers improved angular resolution. UR - https://doi.org/10.1002/mrm.26080 Y1 - 2015 UR - https://doi.org/10.1002/mrm.26080 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-44426 SN - 1522-2594 SN - 0740-3194 VL - 76 IS - 6 SP - 1837 EP - 1847 PB - Wiley CY - Hoboken ER - TY - JOUR A1 - Sprenger, Tim A1 - Sperl, Jonathan I. A1 - Fernandez, Brice A1 - Haase, Axel A1 - Menzel, Marion Irene T1 - Real valued diffusion‐weighted imaging using decorrelated phase filtering JF - Magnetic Resonance in Medicine UR - https://doi.org/10.1002/mrm.26138 Y1 - 2016 UR - https://doi.org/10.1002/mrm.26138 SN - 1522-2594 SN - 0740-3194 VL - 77 IS - 2 SP - 559 EP - 570 PB - Wiley CY - Hoboken ER - TY - JOUR A1 - Sprenger, Tim A1 - Sperl, Jonathan I. A1 - Fernandez, Brice A1 - Golkov, Vladimir A1 - Eidner, Ines A1 - Sämann, Philipp G. A1 - Czisch, Michael A1 - Tan, Ek Tsoon A1 - Hardy, Christopher J. A1 - Marinelli, Luca A1 - Haase, Axel A1 - Menzel, Marion Irene T1 - Bias and precision analysis of diffusional kurtosis imaging for different acquisition schemes JF - Magnetic Resonance in Medicine UR - https://doi.org/10.1002/mrm.26008 Y1 - 2016 UR - https://doi.org/10.1002/mrm.26008 SN - 1522-2594 SN - 0740-3194 VL - 76 IS - 6 SP - 1684 EP - 1696 PB - Wiley CY - Hoboken ER -