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A novel measure of reliability in Diffusion Tensor Imaging after data rejections due to subject motion

V. Sairanen, L. Kuusela, O. Sipilä, S. Savolainen, S. Vanhatalo
2017 NeuroImage  
A B S T R A C T Diffusion Tensor Imaging (DTI) is commonly challenged by subject motion during data acquisition, which often leads to corrupted image data.  ...  This work aims to define the loss of data accuracy with increasing image rejections, and to define a robust method for assessing reliability of the result at voxel level.  ...  Appendix A. Supplementary material Supplementary data associated with this article can be found in the online version at 061.  ... 
doi:10.1016/j.neuroimage.2016.11.061 pmid:27915115 fatcat:wiauut2zyjh2zkkpqujqk2lya4

Phase image texture analysis for motion detection in diffusion MRI (PITA-MDD)

Nahla M.H. Elsaid, Jerry L. Prince, Steven Roys, Rao P. Gullapalli, Jiachen Zhuo
2019 Magnetic Resonance Imaging  
Pronounced spin phase artifacts appear in diffusion-weighted imaging (DWI) with only minor subject motion.  ...  While DWI data corruption is often identified as signal drop out in diffusion-weighted (DW) magnitude images, DW phase images may have higher sensitivity for detecting subtle subject motion.  ...  Diffusion tensor imaging (DTI) could be improved by incorporating a quality measure of each diffusion-weighted image and removing motion-corrupted data before data analysis.  ... 
doi:10.1016/j.mri.2019.07.009 pmid:31319127 pmcid:PMC6697150 fatcat:adwjxackzngthou7d2zy3aghqm

Correction strategy for diffusion-weighted images corrupted with motion: application to the DTI evaluation of infants' white matter

Jessica Dubois, Sofya Kulikova, Lucie Hertz-Pannier, Jean-François Mangin, Ghislaine Dehaene-Lambertz, Cyril Poupon
2014 Magnetic Resonance Imaging  
Objective: Diffusion imaging techniques such as DTI and HARDI are difficult to implement in infants because of their sensitivity to subject motion.  ...  Conclusion: This automated strategy performed reliably on DTI datasets and can be applied to spherical single-and multiple-shell diffusion imaging.  ...  taken on a single shell in the Q-space, for a fixed b-value, with models like diffusion tensor imaging (DTI) and high angular resolution diffusion imaging (HARDI).  ... 
doi:10.1016/j.mri.2014.05.007 pmid:24960369 fatcat:kir2t5kq2zexxcnngoahkji2ym

The diffusion tensor imaging (DTI) component of the NIH MRI study of normal brain development (PedsDTI)

Lindsay Walker, Lin-Ching Chang, Amritha Nayak, M. Okan Irfanoglu, Kelly N. Botteron, James McCracken, Robert C. McKinstry, Michael J. Rivkin, Dah-Jyuu Wang, Judith Rumsey, Carlo Pierpaoli
2016 NeuroImage  
Subjects range in age from 10 days (from date of birth) through 22 years. Additionally, a set of age-specific DTI templates are included.  ...  The NIH MRI Study of normal brain development sought to characterize typical brain development in a population of infants, toddlers, children and adolescents/young adults, covering the socio-economic and  ...  Acknowledgments: Data used in the preparation of this article were obtained from the Pediatric MRI Data Repository created by the NIH MRI Study of Normal Brain Development.  ... 
doi:10.1016/j.neuroimage.2015.05.083 pmid:26048622 pmcid:PMC6805138 fatcat:u6lxhpqoirfdfevfscwygoewru

Improved in vivo diffusion tensor imaging of human cervical spinal cord

Junqian Xu, Joshua S. Shimony, Eric C. Klawiter, Abraham Z. Snyder, Kathryn Trinkaus, Robert T. Naismith, Tammie L.S. Benzinger, Anne H. Cross, Sheng-Kwei Song
2013 NeuroImage  
Given the considerable sensitivity of DTI measurements to motion artifact, we believe outlier detection is indispensable in spinal cord diffusion imaging.  ...  We describe a cardiac gated high in-plane resolution axial human cervical spinal cord diffusion tensor imaging (DTI) protocol.  ...  We are also grateful to Larry Bretthorst (Biomedical Magnetic Resonance Laboratory, Washington University School of Medicine) for instrumental discussions about the implementation of Bayesian positive  ... 
doi:10.1016/j.neuroimage.2012.11.014 pmid:23178538 pmcid:PMC3604900 fatcat:5yji6ody6zbsxdk5c7k7makrty

The efficiency of retrospective artifact correction methods in improving the statistical power of between-group differences in spinal cord DTI

Gergely David, Patrick Freund, Siawoosh Mohammadi
2017 NeuroImage  
Diffusion tensor imaging (DTI) is a promising approach for investigating the white matter microstructure of the spinal cord.  ...  In this paper, we present a novel outlier rejection approach (reliability masking) which is designed to supplement existing correction approaches by excluding irreversibly corrupted and thus unreliable  ...  Acknowledgement We would like to thank Dr. Thorsten Feiweier from Siemens Healthcare for providing the prototype sequence used in this work.  ... 
doi:10.1016/j.neuroimage.2017.06.051 pmid:28669912 pmcid:PMC6168644 fatcat:fm6yikewzbck5gtkcrb4qwos4e

Diffusion MRI and its Role in Neuropsychology

Bryon A. Mueller, Kelvin O. Lim, Laura Hemmy, Jazmin Camchong
2015 Neuropsychology Review  
In this review, we begin with a definition of diffusion and how diffusion is measured with MRI. Next we introduce the diffusion tensor model, the predominant model used in dMRI.  ...  We then touch on reliability and validity issues of diffusion measurements.  ...  Due to long imaging times, however, subject movement artifacts made these measurements very difficult.  ... 
doi:10.1007/s11065-015-9291-z pmid:26255305 pmcid:PMC4807614 fatcat:xezun6rr3reddg5x4oxyd2vvri

Motion-Robust Diffusion-Weighted Brain MRI Reconstruction Through Slice-Level Registration-Based Motion Tracking

Bahram Marami, Benoit Scherrer, Onur Afacan, Burak Erem, Simon K. Warfield, Ali Gholipour
2016 IEEE Transactions on Medical Imaging  
This work proposes a novel approach for motion-robust diffusion-weighted (DW) brain MRI reconstruction through tracking temporal head motion using slice-to-volume registration.  ...  The slice-level motion is estimated through a filtering approach that allows tracking the head motion during the scan and correcting for out-of-plane inconsistency in the acquired images.  ...  Noisy measurements may occur when fast subject motion results in through-plane motion artifacts or when slice-to-volume registration fails in the boundary of the imaged anatomy due to the lack of sufficient  ... 
doi:10.1109/tmi.2016.2555244 pmid:27834639 pmcid:PMC5108524 fatcat:bry2acwarrejlajwhirc6scmsq

Spatially selective 2D RF inner field of view (iFOV) diffusion kurtosis imaging (DKI) of the pediatric spinal cord

Chris J. Conklin, Devon M. Middleton, Mahdi Alizadeh, Jürgen Finsterbusch, David L. Raunig, Scott H. Faro, Pallav Shah, Laura Krisa, Rebecca Sinko, Joan Z. Delalic, M.J. Mulcahey, Feroze B. Mohamed
2016 NeuroImage: Clinical  
Diffusion Tensor Imaging (DTI).  ...  Using conventional echo planar techniques, it is possible to acquire and characterize water diffusion within the central nervous system (CNS); namely in the form of Diffusion Weighted Imaging (DWI) and  ...  Acknowledgments This work was funded by the National Institute of Health [Grant number RO1 NS079635-01A1].  ... 
doi:10.1016/j.nicl.2016.01.009 pmid:26909329 pmcid:PMC4735660 fatcat:wtpsmcwzuvdxzoyys2ypjjncqm

Quality control of diffusion weighted images

Zhexing Liu, Yi Wang, Guido Gerig, Sylvain Gouttard, Ran Tao, Thomas Fletcher, Martin Styner, Brent J. Liu, William W. Boonn
2010 Medical Imaging 2010: Advanced PACS-based Imaging Informatics and Therapeutic Applications  
Diffusion Tensor Imaging (DTI) has become an important MRI procedure to investigate the integrity of white matter in brain in vivo.  ...  Additionally considerable manpower is needed for this step due to the large number of images to QC, which is common for group comparison and longitudinal studies, especially with increasing number of diffusion  ...  We thank Hans Johnson and his group at the University of Iowa who helped a lot in DTIPrep improvement and setting up the NITRC page for DTIPrep.  ... 
doi:10.1117/12.844748 pmid:24353379 pmcid:PMC3864968 fatcat:er3owzxp7jc6xmuu6ylccdvr3e

Diffusion imaging quality control via entropy of principal direction distribution

Mahshid Farzinfar, Ipek Oguz, Rachel G. Smith, Audrey R. Verde, Cheryl Dietrich, Aditya Gupta, Maria L. Escolar, Joseph Piven, Sonia Pujol, Clement Vachet, Sylvain Gouttard, Guido Gerig (+5 others)
2013 NeuroImage  
often only visible when investigating groups of DWI's or a derived diffusion model, such as the most-employed diffusion tensor imaging (DTI).  ...  Here, we propose a novel regional QC measure in the DTI domain that employs the entropy of the regional distribution of the principal directions (PD).  ...  We propose a novel DT-MRI quality control measure to detect these artifacts by assessing the orientational bias of the diffusion tensor model and refurbishing DWIs using an entropybased measurement on  ... 
doi:10.1016/j.neuroimage.2013.05.022 pmid:23684874 pmcid:PMC3798052 fatcat:5b5t2pb7uvapxkjcce5zzgdkua

Towards the "Baby Connectome": Mapping the Structural Connectivity of the Newborn Brain

Olga Tymofiyeva, Christopher P. Hess, Etay Ziv, Nan Tian, Sonia L. Bonifacio, Patrick S. McQuillen, Donna M. Ferriero, A. James Barkovich, Duan Xu, Eshel Ben-Jacob
2012 PLoS ONE  
The purpose of this study was to establish a framework for assessing structural connectivity in the newborn brain at any stage of development and to show how network properties can be derived in a clinical  ...  In the application to infants with HIE, a trend to declining brain network integration and segregation was observed with increasing neuromotor deficit scores.  ...  Acknowledgments The authors would like to thank the nurses of the Newborn Brain Research Institute at UCSF for taking care of the newborns and assisting scans, Dr. Hannah C.  ... 
doi:10.1371/journal.pone.0031029 pmid:22347423 pmcid:PMC3274551 fatcat:oakumqow2zfhrpvo2n5sdbkadu

Diffusion Tensor Imaging and Its Application to Traumatic Brain Injury: Basic Principles and Recent Advances

Ping-Hong Yeh, Terrence R. Oakes, Gerard Riedy
2012 Open Journal of Medical Imaging  
Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to a penalty for failing to comply with a collection of information if it does not display a currently  ...  Challenges of Detecting Mild TBI Brain Lesions and Predicting the Outcomes of TAI In the civilian population the majority of TBI incidents are due to primarily in automobile accidents and falls.  ...  (f)), and motion artifacts due to cardiac pulsation, bulk subject movement and mechanical motion.  ... 
doi:10.4236/ojmi.2012.24025 fatcat:h55evmhkkndapaczqmptddpguu

Image processing and analysis methods for the Adolescent Brain Cognitive Development Study

Donald J. Hagler, SeanN. Hatton, M. Daniela Cornejo, Carolina Makowski, Damien A. Fair, Anthony Steven Dick, Matthew T. Sutherland, B.J. Casey, Deanna M. Barch, Michael P. Harms, Richard Watts, James M. Bjork (+131 others)
2019 NeuroImage  
The data is a resource of unprecedented scale and depth for studying typical and atypical development.  ...  The aim of this manuscript is to describe the baseline neuroimaging processing and subject-level analysis methods used by ABCD.  ...  Acknowledgements Data used in the preparation of this article were obtained from the Adolescent Brain Cognitive Development (ABCD) Study (, held in the NIMH Data Archive (NDA).  ... 
doi:10.1016/j.neuroimage.2019.116091 pmid:31415884 pmcid:PMC6981278 fatcat:goab4m7k7vdfthmliwd6sgsfy4

RESTORE: Robust estimation of tensors by outlier rejection

Lin-Ching Chang, Derek K. Jones, Carlo Pierpaoli
2005 Magnetic Resonance in Medicine  
A novel approach for robust diffusion tensor estimation, called RESTORE (for robust estimation of tensors by outlier rejection), is proposed.  ...  Signal variability in diffusion weighted imaging (DWI) is influenced by both thermal noise and spatially and temporally varying artifacts such as subject motion and cardiac pulsation.  ...  Prior to the diffusion tensor computation, all images were corrected for eddy current distortion and rigid-body brain motion using the approach of Rohde et al. (16) .  ... 
doi:10.1002/mrm.20426 pmid:15844157 fatcat:lsbmihcrcrhznjwvg6dccunrkm
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