Eddy-current-induced distortion correction using maximum reconciled mutual information in diffusion MR imaging

Liang, Junling; Zhao, S. J.; Di, Liqing; Wang, Jingjuan; Sun, Pengcheng; Chai, Xinyu; Li, Heng

doi:10.1007/s11548-018-01901-1

Cited by 3 publications

(1 citation statement)

References 34 publications

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“…Although probabilistic tractography can account for crossing fibres and is more accurate, only deterministic tractography can be processed in FDA-approved software. 14 – 16 While image distortion correction and eddy current correction can improve the accuracy of DTI, 17 an understanding of anatomy is critical to accurate targeting. 18 For example, previously published methods for DTI-based targeting attempt to identify some combination of three white matter tracts: corticospinal tract (CST) connecting primary motor cortex (PMC) to the spinal motor neurons, medial lemniscus (ML) connecting primary sensory cortex to trigeminal and spinal sensory neurons and the non-decussating component of the dentate-rubro-thalamic-tract (ndDRTT).…”

Section: Introductionmentioning

confidence: 99%

Focused ultrasound using a novel targeting method four-tract tractography for magnetic resonance–guided high-intensity focused ultrasound targeting

Feltrin

Chopra

Pouratian

et al. 2022

Brain Communications

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Magnetic resonance guided high intensity focused ultrasound thalamotomy is an Food and Drug Administration-approved treatment for Essential Tremor. The target, the Ventral Intermediate Nucleus of the thalamus, is not visualized on standard, anatomic MRI sequences. Several recent reports have used Diffusion Tensor Imaging for targeting the Dentato-Rubro-Thalamic-Tract. There is considerable variability in fiber tracking algorithms and what fibers are tracked. Targeting discrete white matter tracts with magnetic resonance guided high intensity focused ultrasound is an emerging precision medicine technique that has the promise to improve patient outcomes and reduce treatment times. We provide a technical overview and clinical benefits of our novel, easily implemented advanced tractography method: four-tract tractography. Our method is novel because it targets both the decussating and non-decussating Dentato-Rubro-Thalamic-Tracts while avoiding the medial lemniscus and corticospinal tracts. Our method utilizes Food and Drug Administration-approved software and is easily implementable into existing workflows. Initial experience using this approach suggests that it improves patient outcomes by reducing the incidence of adverse effects.

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Section: Introductionmentioning

confidence: 99%

Focused ultrasound using a novel targeting method four-tract tractography for magnetic resonance–guided high-intensity focused ultrasound targeting

Feltrin

Chopra

Pouratian

et al. 2022

Brain Communications

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Improving atmospheric corrosion prediction through key environmental factor identification by random forest-based model

et al. 2021

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CEPS: An Open Access MATLAB Graphical User Interface (GUI) for the Analysis of Complexity and Entropy in Physiological Signals

Mayor

Panday

Kandel

et al. 2021

Entropy

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Background: We developed CEPS as an open access MATLAB® GUI (graphical user interface) for the analysis of Complexity and Entropy in Physiological Signals (CEPS), and demonstrate its use with an example data set that shows the effects of paced breathing (PB) on variability of heart, pulse and respiration rates. CEPS is also sufficiently adaptable to be used for other time series physiological data such as EEG (electroencephalography), postural sway or temperature measurements. Methods: Data were collected from a convenience sample of nine healthy adults in a pilot for a larger study investigating the effects on vagal tone of breathing paced at various different rates, part of a development programme for a home training stress reduction system. Results: The current version of CEPS focuses on those complexity and entropy measures that appear most frequently in the literature, together with some recently introduced entropy measures which may have advantages over those that are more established. Ten methods of estimating data complexity are currently included, and some 28 entropy measures. The GUI also includes a section for data pre-processing and standard ancillary methods to enable parameter estimation of embedding dimension m and time delay τ (‘tau’) where required. The software is freely available under version 3 of the GNU Lesser General Public License (LGPLv3) for non-commercial users. CEPS can be downloaded at https://bitbucket.org/deepak_panday/ceps/src/pipeline_v2/. In our illustration on PB, most complexity and entropy measures decreased significantly in response to breathing at 7 breaths per minute, differentiating more clearly than conventional linear, time- and frequency-domain measures between breathing states. In contrast, Higuchi fractal dimension increased during paced breathing. Conclusions: We have developed CEPS software as a physiological data visualiser able to integrate state of the art techniques. The interface is designed for clinical research and has a structure designed for integrating new tools. The aim is to strengthen collaboration between clinicians and the biomedical community, as demonstrated here by using CEPS to analyse various physiological responses to paced breathing.

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Eddy-current-induced distortion correction using maximum reconciled mutual information in diffusion MR imaging

Cited by 3 publications

References 34 publications

Focused ultrasound using a novel targeting method four-tract tractography for magnetic resonance–guided high-intensity focused ultrasound targeting

Focused ultrasound using a novel targeting method four-tract tractography for magnetic resonance–guided high-intensity focused ultrasound targeting

Improving atmospheric corrosion prediction through key environmental factor identification by random forest-based model

CEPS: An Open Access MATLAB Graphical User Interface (GUI) for the Analysis of Complexity and Entropy in Physiological Signals

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