Cargando…

Intensity Inhomogeneity Correction of Structural MR Images: A Data-Driven Approach to Define Input Algorithm Parameters

Intensity non-uniformity (INU) in magnetic resonance (MR) imaging is a major issue when conducting analyses of brain structural properties. An inaccurate INU correction may result in qualitative and quantitative misinterpretations. Several INU correction methods exist, whose performance largely depe...

Descripción completa

Detalles Bibliográficos
Autores principales:	Ganzetti, Marco, Wenderoth, Nicole, Mantini, Dante
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2016
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4791378/ https://www.ncbi.nlm.nih.gov/pubmed/27014050 http://dx.doi.org/10.3389/fninf.2016.00010

Ejemplares similares

Quantitative Evaluation of Intensity Inhomogeneity Correction Methods for Structural MR Brain Images
por: Ganzetti, Marco, et al.
Publicado: (2015)

Whole brain myelin mapping using T1- and T2-weighted MR imaging data
por: Ganzetti, Marco, et al.
Publicado: (2014)

Mapping pathological changes in brain structure by combining T1- and T2-weighted MR imaging data
por: Ganzetti, Marco, et al.
Publicado: (2015)

Detecting Large-Scale Brain Networks Using EEG: Impact of Electrode Density, Head Modeling and Source Localization
por: Liu, Quanying, et al.
Publicado: (2018)

A Review on MR Image Intensity Inhomogeneity Correction
por: Hou, Zujun
Publicado: (2006)

Inhomogeneity correction and the analytic anisotropic algorithm
por: Robinson, Don
Publicado: (2008)

Segmentation of Intensity Inhomogeneous Brain MR Images Using Active Contours
por: Akram, Farhan, et al.
Publicado: (2014)

Neural activity related to volitional regulation of cortical excitability
por: Ruddy, Kathy, et al.
Publicado: (2018)

Using Computational Neuroscience to Define Common Input to Spinal Motor Neurons
por: Boonstra, Tjeerd W., et al.
Publicado: (2016)

RT-NET: real-time reconstruction of neural activity using high-density electroencephalography
por: Guarnieri, Roberto, et al.
Publicado: (2020)

Adaptive optimal basis set for BCG artifact removal in simultaneous EEG-fMRI
por: Marino, Marco, et al.
Publicado: (2018)

Hemodynamic Correlates of Electrophysiological Activity in the Default Mode Network
por: Marino, Marco, et al.
Publicado: (2019)

Correction: Neural excitability and sensory input determine intensity perception with opposing directions in initial cortical responses
por: Stephani, Tilman, et al.
Publicado: (2022)

Inhomogeneous Cortical Synchronization and Partial Epileptic Seizures
por: Vega-Zelaya, Lorena, et al.
Publicado: (2014)

Computed tomography imaging parameters for inhomogeneity correction in radiation treatment planning
por: Das, Indra J., et al.
Publicado: (2016)

Frequency‐dependent functional connectivity in resting state networks
por: Samogin, Jessica, et al.
Publicado: (2020)

Conductivity Tensor Imaging of the Human Brain Using Water Mapping Techniques
por: Marino, Marco, et al.
Publicado: (2021)

A robust MR-based attenuation map generation in short-TE MR images of the head employing hybrid spatial fuzzy C-means clustering and intensity inhomogeneity correction
por: Aarabi, Mohammad Hadi, et al.
Publicado: (2014)

A new computational approach to estimate whole-brain effective connectivity from functional and structural MRI, applied to language development
por: Hahn, Gerald, et al.
Publicado: (2019)

An MR fingerprinting approach for quantitative inhomogeneous magnetization transfer imaging
por: West, Daniel J., et al.
Publicado: (2022)

The perturbation response and power spectrum of a mean-field of IF neurons with inhomogeneous inputs
por: Peterson, Andre DH, et al.
Publicado: (2010)

Connectivity-based parcellation increases network detection sensitivity in resting state fMRI: An investigation into the cingulate cortex in autism
por: Balsters, Joshua H., et al.
Publicado: (2016)

Education differentiates cognitive performance and resting state fMRI connectivity in healthy aging
por: Montemurro, Sonia, et al.
Publicado: (2023)

Dosimetric comparison of different inhomogeneity correction algorithms for external photon beam dose calculations
por: Asnaashari, Khadijeh, et al.
Publicado: (2013)

Active contours driven by local and global fitted image models for image segmentation robust to intensity inhomogeneity
por: Akram, Farhan, et al.
Publicado: (2017)

Estimating a neutral reference for electroencephalographic recordings: the importance of using a high-density montage and a realistic head model
por: Liu, Quanying, et al.
Publicado: (2015)

Elucidating afferent-driven presynaptic inhibition of primary afferent input to spinal laminae I and X
por: Krotov, Volodymyr, et al.
Publicado: (2023)

Different computations over the same inputs produce selective behavior in algorithmic brain networks
por: Jaworska, Katarzyna, et al.
Publicado: (2022)

Memory load modulates graded changes in distracter filtering
por: Shimi, Andria, et al.
Publicado: (2015)

Editorial: Dynamic Functioning of Resting State Networks in Physiological and Pathological Conditions
por: Cieri, Filippo, et al.
Publicado: (2020)

Compensating Inhomogeneities of Neuromorphic VLSI Devices Via Short-Term Synaptic Plasticity
por: Bill, Johannes, et al.
Publicado: (2010)

Inhomogeneities in Network Structure and Excitability Govern Initiation and Propagation of Spontaneous Burst Activity
por: Okujeni, Samora, et al.
Publicado: (2019)

Deep Learning Deformation Initialization for Rapid Groupwise Registration of Inhomogeneous Image Populations
por: Ahmad, Sahar, et al.
Publicado: (2019)

Testicular ultrasound inhomogeneity is an informative parameter for fertility evaluation
por: Spaggiari, Giorgia, et al.
Publicado: (2019)

Is Intensity Inhomogeneity Correction Useful for Classification of Breast Cancer in Sonograms Using Deep Neural Network?
por: Lee, Chia-Yen, et al.
Publicado: (2018)

Neural excitability and sensory input determine intensity perception with opposing directions in initial cortical responses
por: Stephani, Tilman, et al.
Publicado: (2021)

Activity in the Fronto-Parietal and Visual Cortex Is Modulated by Feature-Based Attentional Weighting
por: Lanssens, Armien, et al.
Publicado: (2022)

The Influence of Radio-Frequency Transmit Field Inhomogeneities on the Accuracy of G-ratio Weighted Imaging
por: Emmenegger, Tim M., et al.
Publicado: (2021)

An algorithm to generate correlated input-parameters to be used in probabilistic sensitivity analyses
por: Neine, Mohamed, et al.
Publicado: (2020)

Correction for Magnetic Field Inhomogeneities and Normalization of Voxel Values Are Needed to Better Reveal the Potential of MR Radiomic Features in Lung Cancer
por: Lacroix, Maxime, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_4nuu85u6h4bemn6mn97ilmptqp