Diffusion spectrum imaging

A variant of diffusion weighted imaging, diffusion spectrum imaging (DSI), was used in deriving the Connectome data sets; DSI is a variant of diffusion-weighted imaging that is sensitive to intra-voxel heterogeneities in diffusion directions caused by crossing fiber tracts and thus allows more accurate mapping of axonal trajectories than other diffusion imaging approaches Objective To use diffusion basis spectrum imaging (DBSI) to assess how damage to normal-appearing white matter (NAWM) in the corpus callosum (CC) influences neurologic impairment in people with MS (pwMS). Methods Using standard MRI, the primary pathologies in MS of axonal injury/loss, demyelination, and inflammation are not differentiated well

Diffusion MRI - Wikipedi

1. Tractography based on diffusion tensor imaging (DTI) cannot directly image multiple fiber orientations within a single voxel. To address this limitation, diffusion spectrum MRI (DSI) and related methods were developed to image complex distributions of intravoxel fiber orientation
2. What is Diffusion Spectrum Imaging (DSI) 1. Method for the reconstruction of ensemble average propagator based on the 3D inverse Fourier transform of the complex echo attenuation signal in 3D q-space. Learn more in: Optimal Diffusion Encoding Strategies for Fiber Mapping in Diffusion MR
3. The present study describes a model‐free MRI methodology called diffusion spectrum imaging (DSI). This method affords the capacity to resolve intravoxel diffusion heterogeneity of compartments with sufficient angular separation and anisotropy by measuring its diffusion density spectra estimator
4. Diffusion Spectrum Imaging: a brief intro Van Wedeen van@nmr.mgh.harvard.edu. DTI tractography - HBM Paris 1995 D. Wendell Krieg 1963 - human white matter by dissection DSI. Diffusion MRI - tissue structure is traced by 3D patterns oftdiffif water diffusion 1994: diffusion tensors show average fiber direction
5. Currently, the influence of inflammation on white matter integrity in well-controlled HIV+ patients remains unknown. We used diffusion basis Spectrum imaging (DBSI) derived cellularity to isolate restricted water diffusion associated with inflammation separated from the anisotropic diffusion associated with axonal integrity
6. Diffusion spectrum imaging is a new technique at time of writing, which allows magnetic resonance brain imaging, at a much higher level of fidelity than fMRI permits. To recap on fMRI's function, this only slightly more elderly process - by a mere few years - works based on detection of the dynamic regulation of blood flow in the brain

Diffusion basis spectrum imaging provides insights into MS

• Diffusion imaging is a six-dimensional imaging technique, providing structural information at the image level (left panel) as well as the organization of the tissues (right panel) within each voxel
• Diffusion MR imaging techniques are increasingly varied, from the simplest and most commonly used technique—the mapping of apparent diffusion coefficient values—to the more complex, such as diffusion tensor imaging, q-ball imaging, diffusion spectrum imaging, and tractography
• Connectometry analysis is based on diffusion spectrum imaging and overcomes the limitations of a conventional tractography approach and DTI
• Diffusion basis spectrum imaging DBSI models the diffusion‐weighted MRI signals as a linear combination of multiple tensors describing both the discrete anisotropic content (axonal fibers) and an isotropic diffusion spectrum component encompassing the full range of diffusivities, Eq.. 12 (1

Diffusion spectrum imaging (DSI), a newly developed MRI technique, affords the capacity to map complex fiber architectures in tissues with sufficient angular resolution by imaging the spectra of tissue water diffusion. By contrast, diffusion tensor imaging (DTI), the currently widely used technique In comparison, diffusion spectrum imaging (DSI) can detect the multiple fiber orientation within a voxel and allows for delineating crossing and touching fibers in the brain. As demonstrated below, transcallosal fiber tracts of adult macaque brains are examined with DSI and compared with those from a conventional DTI protocol Published on Aug 23, 2013 Neuroscientist Van Wedeen talks about how in diffusion spectral imaging water is used as a tracer to figure out the directions and crossings that fibers in the brain take In contrast, diffusion spectrum imaging (DSI), a high angular resolution diffusion technique, is able to define more complex structures such as crossing fibers. DSI has proven useful in studying the fiber tracts and connections of the human cerebrum and cerebellar systems in vitro,

Diffusion spectrum magnetic resonance imaging (DSI

We show how to apply Diffusion Spectrum Imaging [Wedeen08] to diffusion MRI datasets of Cartesian keyhole diffusion gradients. First import the necessary modules: import numpy as np from dipy.core.gradients import gradient_table from dipy.data import get_fnames , get_sphere from dipy.io.gradients import read_bvals_bvecs from dipy.io.image import load_nifti from dipy.reconst.dsi import. Diffusion spectrum imaging offers detailed information on complex distributions of intravoxel fiber orientations at the expense of extremely long imaging times (∼1 h). Recent work by Menzel et al. demonstrated successful recovery of diffusion probability density functions from sub‐Nyquist sampled q‐space by imposing sparsity constraints on the probability density functions under wavelet. Diffusion Spectrum Imaging Known as: DSI A high angular resolution diffusion MRI technique that maps complex tissue structures at the scale of single MRI voxels Diffusion spectrum imaging (DSI) 扩散光谱成像 与 Diffision tensor imaging （DTI）弥散张量成像的优劣？ 近年来，大脑研究的方法逐渐进入到各向异性（anisotropy）的微观结构（microstructure）层面，而扩散光谱成像提供了一种非常好的解决�

Diffusion spectrum magnetic resonance imaging (DSI) tractography of crossing fibers. Neuroimage. 2008; 41: 1267-1277. Crossref Medline Google Scholar; 17 Hagmann P, Thiran JP, Jonasson L, Vandergheynst P, Clarke S, Maeder P, Meuli R. DTI mapping of human brain connectivity: statistical fibre tracking and virtual dissection Many translated example sentences containing diffusion spectrum imaging - French-English dictionary and search engine for French translations Diffusion Spectrum Imaging (DSI): A tool for unraveling disrupted structural connectivity in PTSD? Wednesday, February 24, 2016, at 12pm noon ET by Fernando E. Boada, PhD The development of. At least 15 different diffusion directions and two non-zero b-values must be probed to create such a tensor. Several even more complex methods, including q-Ball imaging and diffusion spectrum imaging, are briefly described in the Advanced Discussion Diffusion-relaxation correlation spectrum imaging (DR CSI) parameters correlate with histopathologic microscopic prostate tissue compartments—epithelium, stroma, and lumen—in men with prostate cancer

Diffusion tensor imaging (DTI) is able to demonstrate fibre tracts non-invasively, but present approaches have been hampered by the inability to visualize fibres that have intersecting trajectories (crossing fibres), and by the lack of a detailed map of the origins, course and terminations of the white matter pathways Keywords: diffusion MRI, diffusion spectrum imaging, compressed sensing, multi-shell HARDI, microstructure, population imaging. Citation: Tobisch A, Stirnberg R, Harms RL, Schultz T, Roebroeck A, Breteler MMB and Stöcker T (2018) Compressed Sensing Diffusion Spectrum Imaging for Accelerated Diffusion Microstructure MRI in Long-Term Population.

Microstructural description of cerebral tissues from Diffusion Spectrum Imaging data; Italiano. Italiano; English. Reconstruct with Diffusion Spectrum Imaging. We show how to apply Diffusion Spectrum Imaging [Wedeen08] to diffusion MRI datasets of Cartesian keyhole diffusion gradients. First import the necessary modules

Measured from diffusion spectrum imaging (DSI). Shown are frontal projection fibers including the cingulum, anterior thalamic radiation, and forceps minor. The fibers are color-coded by direction: red = left-right, green = anterior-posterior, blue = through brain stem. www.humanconnectomeproject.or Including a special collection on Imaging in all aspects of medicine. Read the latest research from SN Comprehensive Clinical Medicin

Diffusion basis spectrum imaging (DBSI) models diffusion-weighted magnetic resonance imaging (MRI) signals as a combination of discrete anisotropic diffusion tensors and a spectrum of isotropic diffusion tensors Diffusion-tensor imaging (DTI) studies of both experimental and human stroke suggest that DTI may provide additional information about the evolution of the disease that is not available from diffusion-weighted MRI (DWI) alone Experimental Design: We employ a novel diffusion histology imaging (DHI) approach, combining diffusion basis spectrum imaging (DBSI) and machine learning, to detect, differentiate, and quantify areas of high cellularity, tumor necrosis, and tumor infiltration in GBM Diffusion Spectrum Imaging (DSI) is an imaging technique capable of resolving intra-voxel fiber crossings and has been widely utilized to study neuronal fiber tracts in human brain. Since DSI technique requires hundreds of diffusion direction

What is Diffusion Spectrum Imaging (DSI) IGI Globa

Diffusion-weighted imaging (DWI) has been at the forefront of cancer imaging since the early 2000s. Before its application in clinical oncology, this powerful technique had already achieved widespread recognition due to its utility in the diagnosis of cerebral infarction ARTICLE OPEN ACCESS Diffusion basis spectrum imaging provides insights into MS pathology Peng Sun, PhD, Ajit George, PhD, Dana C. Perantie, MPH, Kathryn Trinkaus, PhD, Zezhong Ye, PhD

Moreover, tractography obtained with diffusional kurtosis imaging is qualitatively comparable with that of diffusion spectrum imaging. Because diffusional kurtosis imaging has a shorter typical scan time than diffusion spectrum imaging, diffusional kurtosis imaging is potentially more suitable for a variety of clinical and research applications Various diffusion MRI methods (DSI, Q-ball imaging, etc) were proposed recently to resolve the primary orientation of crossing fibers requiring large number of diffusion weighted images with high b-values limiting their practical applications. Up to date, relatively few have attempted to quantify the diffusion property of the crossing fibers

Mapping complex tissue architecture with diffusion

• e crossing fiber tracts within a single voxel (13, 14)
• Three‐dimensional myoarchitecture of the bovine tongue demonstrated by diffusion spectrum magnetic resonance imaging with tractography. Richard J. Gilbert. Corresponding Author. E-mail address: rgilbert@mit.edu. Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts
• First, this type of imaging is called diffusion tensor imaging. The picture of the brain in the link is actually a reconstruction of the white matter tracts that connect disparate areas of our brains. These white matter fibers tend to bundle, and connect discrete, but functionally coherent, regions of cortex (i.e. grey matter)
• Neuroscientist Van Wedeen talks about how in diffusion spectral imaging water is used as a tracer to figure out the directions and crossings that fibers in the brain take. See more of Dr. Van Wedeen's videos here
• Diffusion Basis Spectrum Imaging (DBSI) represents a potential leap forward in improving prostate cancer early detection: a non-invasive and accurate imaging test for clinically significant prostate cancer
• Among these techniques, diffusion spectrum imaging (DSI) provides the most accurate in vivo information about the underlying structural connectivity infrastructure of the brain. However, the application of DSI for the study of structural connectivity in humans has been previously limited by the long data acquisition times required

1. g increasingly popular methods of acquiring diffusion MRI data in a research context. However, single-shell acquisitions, such as diffusion tensor imaging (DTI) and high angular resolution diffusion imaging (HARDI), still remain the most common acquisition schemes in practice. Her
2. CONFERENCE PROCEEDINGS Papers Presentations Journals. Advanced Photonics Journal of Applied Remote Sensin
3. Whole brain tractography was reconstructed automatically by tract-based analysis of diffusion spectrum imaging (DSI). Microstructural properties of white matter tracts were represented by the values of generalized fractional anisotropy (GFA), fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD) and axial diffusivity (AD)

Diffusion Basis Spectrum Imaging Detects Ongoing Brain

• M. Ellingson, Bryan Yoo, and Whitney B. Pope 8.1 Introduction Diffusion-weighted magnetic resonance imaging (DWI or DW-MRI) is a magnetic resonance imaging (MRI) technique that is sensitive to the Brownian, random motion of water molecules. More specifically, DWI measures the attenuation of the magnetic resonance (MR.
• Imaging Center, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts ABSTRACT The ability to resolve complex fiber populations in muscular tissues is important for relating tissue structure with mechanical function. To address this issue in the case of tongue, we employed diffusion spectrum imaging (DSI), an MR
• Methods Diffusion spectrum imaging (DSI) is a version of 3D q-space diffusion imaging, which measures the microscopic three-dimensional spin diffusion function for each imaging voxel
• A transformation method for diffusion spectrum imaging includes: receiving an original DSI dataset and a template DSI dataset; computing an energy function; computing, for each time point, first-order and second-order derivatives of the energy function with respect to velocity fields in an image space and in a q-space; computing, for each time point, the velocity fields in the image space and.
• ations of the SFOF. High angular diffusion spectrum imaging (DSI) analysis was performed on six healthy adults and on a template of 842 subjects from the Human Connectome Project
• Diffusion Spectrum Imaging Shows the Structural Basis of Functional Cerebellar Circuits in the Human Cerebellum In Vivo Cristina Granziera1*, Jeremy Dan Schmahmann2, Nouchine Hadjikhani3,4, Heiko Meyer5, Reto Meuli6, Van Wedeen3, Gunnar Krueger7 1Department of Neurology, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland, 2Department of Neurology, Massachusetts General Hospital.

Brain Reading: Diffusion Spectrum Imaging

High Angular Resolution Diffusion Imaging (HARDI) techniques, including Diffusion Spectrum Imaging (DSI), have been proposed to resolve crossing and other complex fiber architecture in the human brain white matter. In these methods, directional information of diffusion is inferred from the peaks in the orientation distribution function (ODF) Enter search terms. Keep search filters New search. Advanced searc

Features of Diffusion Toolkit includes: Handles Diffusion Tensor Imaging (DTI), Diffusion Spectrum Imaging (DSI), Q-Ball Imaging and High Angular Resolution Diffusion Imaging (HARDI) data. Takes raw DICOM image as well as Nifti/Analyze image Find the perfect diffusion spectral imaging stock photo. Huge collection, amazing choice, 100+ million high quality, affordable RF and RM images. No need to register, buy now PDF | Objective Multiple sclerosis (MS) lesions are heterogeneous with regard to inflammation, demyelination, axonal injury, and neuronal loss. We... | Find, read and cite all the research you. Quantitative Comparison between Hybrid Diffusion Imaging and Diffusion Spectrum Imaging Y-C. Wu1, A. L. Alexander1,2 1Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 2Psychiatry, University of Wisconsin-Madison, Madison, WI, United States Background At higher levels of diffusion-weighting, the diffusion tensor model is inadequate for describing non-Gaussian.

High angular resolution diffusion imaging reveals intravoxel white matter fiber heterogeneity. Magn Reson Med 2002;48:577-582. 9. Wedeen VJ, Hagmann P, Tseng WI, Reese TG, Weisskoff RM. Mapping complex tissue architecture with diffusion spectrum magnetic resonance imaging. Magn Reson Med 2005;54:1377-1386. 10. Tuch DS. Q-ball imaging Diffusion spectrum magnetic resonance imaging (DSI) tractography of crossing fibers V.J. Wedeen,a,⁎ R.P. Wang,a J.D. Schmahmann,b,⁎ T. Benner,a W.Y.I. Tseng,c G.

An Introduction to Model-Independent Diffusion MR

Over the past five years, researchers have made a big push to map white matter, the tracts of nerve fibers that connect different regions of the brain. Building an accurate atlas of these tracts could help researchers understand autism, which is thought to involve abnormal long-range connections in the brain.. Efforts to map this so-called 'connectome' rely mainly on diffusion imaging, a. Diffusion Tensor Imaging (DTI) is an established diffusion weighted imaging method, which models the diffusion as a univariate Gaussian distribution (1). One limitation of this model arises in the presence of fiber crossings, and this can be addressed by using a more involved imaging method. Diffusion Spectrum Imaging (DSI) samples the full q. Diffusion spectrum imaging. Miscellaneous » Photography & Imaging. Add to My List Edit this Entry Rate it: (1.00 / 5 votes) Translation Find a translation for Diffusion spectrum imaging in other languages: Select another language: - Select - 简体中文 (Chinese - Simplified

The three schemes includes the conventional diffusion spectrum imaging (DSI) acquisition scheme based on Cartesian grid sampling in q-space, multi-shell sampling with the same (MDDW) or different (FREE) gradient directions in each shell. Each scheme supports the estimation of all the four models Systems and methods for generating a magnetic resonance (MR) image of a tissue are provided. A method includes acquiring MR raw data. The MR raw data corresponds to MR signals obtained at undersampled q-space locations for a plurality of q-space locations that is less than an entirety of the q-space locations and the MR signals at the q-space locations represent the three dimensional. Different neural substrates for executive functions in youths with ADHD: a diffusion spectrum imaging tractography study - Volume 46 Issue 6 - H.-L. Chiang, Y.-J. Accelerated Diffusion Spectrum Imaging with Compressed Sensing using Adaptive Dictionaries Berkin Bilgic1,*, Kawin Setsompop2,3, Julien Cohen-Adad2,3, Anastasia Yendiki2, Lawrence L. Wald2,3,4, and Elfar Adalsteinsson1,4 1Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, US

Understanding Diffusion MR Imaging Techniques: From Scalar

Diffusion-weighted magnetic resonance imaging in term perinatal brain injury: a comparison with site of lesion and time from Acute human stroke studied by whole brain echo planar diffusion-weighted magnetic resonance imaging.Ann Neurol.1995;37 :231- Reduced Fractional Anisotropy on Diffusion Tensor Magnetic Resonance Imaging After Hypoxic-Ischemic Encephalopathy Diffusion spectrum imaging (DSI) is a variant of magnetic resonance imaging (MRI) in which a magnetic field maps the water contained in neuron fibers, thus mapping their criss-crossing patterns. A similar technique called diffusion tensor imaging (DTI) is also used to explore neural data of white matter fibres in the brain

DSI, diffusion spectrum imaging; DTI, diffusion tensor imaging. The fiber bundles across posterior midbody, isthmus, and splenium were evaluated with DSI and DTI as well. Overall, the DSI and DTI tractography results look similar in these segments ( Figure 5 )

Deconvolution in diffusion spectrum imaging We employed a novel Diffusion Histology Imaging (DHI) approach that incorporates diffusion basis spectrum imaging (DBSI) and deep neural network. DHI aims to detect, differentiate, and quantify heterogenous areas in pediatric high-grade brain tumors, which include normal white matter (WM), densely cellular tumor (DC tumor), less densely cellular tumor (LDC tumor), infiltrating edge, necrosis. What is the abbreviation for Diffusion Spectrum Imaging? What does DSI stand for? DSI abbreviation stands for Diffusion Spectrum Imaging

Abstract. To investigate frontal lobe white matter in children with autism spectrum disorder (ASD), we performed diffusion tensor imaging (DTI) in 50 ASD children (mean age: 57.5 ± 29.2 months, 43 males) and 16 typically developing children (mean age: 82.1 ± 41.4 months, 11 males) Diffusion spectrum imaging, developed by neuroscientist Van Wedeen at Massachusetts General Hospital, analyzes magnetic resonance imaging (MRI) data in new ways, letting scientists map the nerve fibers that carry information between cells The diffusion spectrum MRI (based on the diffusion tensor imaging technology or DTI) is good news for those interested in finding an ultimate solution to the human brain. If we can understand the complicated neural highway in its entirety, we'd certainly be a step closer.. It will be interesting to see how we can use this information to gain a better understanding of the brain's. Diffusion basis spectrum imaging for identifying pathologies in MS subtypes. Afsaneh Shirani, Peng Sun, Kathryn Trinkaus, Dana C. Perantie, Ajit George, Robert T. Naismith, Robert E. Schmidt, Sheng‐Kwei Song, Anne H. Cross. Annals of Clinical and Translational Neurology 2019 Read Mor Diffusion spectrum imaging (DSI) is a generalization of diffusion tensor imaging to map fibrous structure of white matter and potentially very sensitive to alterations of the cingulum bundles in dementia. In this in-vivo 4T study,.

Association fibre pathways of the brain: parallel observations from diffusion spectrum imaging and autoradiography Jeremy D. Schmahmann, 1 Deepak N. Pandya,3 Ruopeng Wang, 2 Guangping Dai, 2 Helen E. D'Arceuil, 2 Alex J. de Crespigny 2 and Van J.Wedeen 2 1Department of Neurology, 2Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts Genera Diffusion Spectrum Imaging (DSI) has been developed as a model-free approach to solving the so called multiple-fibers-per- voxel problem in diffusion MRI. However, inferring heterogeneous microstructures of an imaging voxel rapidly remains a challenge in DSI because of extensive sampling requirements in a Cartesian grid of q-space. In this study, we propose compressed sensing based diffusion. A new paper in the open access journal PLoS Biology describes a new way to model the human brain using diffusion spectrum imaging. Since we're in the omics age of science, you shouldn't be surprised that this map is dubbed the connectome. The semantics of the connectome is similar to genome, proteome, metabalome, transcriptome — etc. in that it is a matrix of nearly all the neuronal. Generalized Diffusion Spectrum Magnetic Resonance Imaging (GDSI) for Model-free Reconstruction of the Ensemble Average Propagator. NeuroImage, 2019; 189: 497-515. [2] Tian Q, Rokem A, Folkerth RD, Nummenmaa A, Fan Q, Edlow BL, McNab JA. Q-Space Truncation and Sampling in Diffusion Spectrum Imaging The purpose of this study was to analyze the diffusion-based imaging technique restriction spectrum imaging (RSI) and DTI, and their ability to detect microstructural changes within brain regions associated with motor function in Parkinson's disease

Diffusion Spectrum Imaging . SpikeFun 0.77 - Unlocking the DigiCortex Power... Submitted by idimkovic on Wed, 07/25/2012 - 00:59. SpikeFun v0.77 brings the open and extensible XML-based project configuration system, allowing deep access to the neuronal simulation configuration as well as possibilities of extending and/or changing the simulation. DSI Studio can process high-resolution ex-vivo diffusion MRI microscopy acquired at a large volume of imaging data, makes it possible to estimate the location, orientation, and anisotropy of the tracts in any histological specimens

Diffusion spectrum imaging abstract Diffusion tensor magnetic resonance imaging (MRI) reveals valuable insights into tissue histo-anatomy and microstructure, and has steadily gained traction in the cardiac community. Its wider use in small animal cardiac imaging in vivo has been constrained by its extreme sensitivity to motion, exaggerated b Diffusion basis spectrum imaging (DBSI) models diffusion-weighted MRI signals as a combination of discrete anisotropic diffusion tensors (representing the integrity of axon fibers and myelin), and a spectrum of isotropic diffusion tensors (reflecting the extra-axonal environment associated with inflammation and tissue loss) Conclusion It is important to jointly optimize the sampling scheme and the sparsifying transform to obtain accelerated compressive sensing‐diffusion spectrum imaging. Experiments on synthetic and real human brain data show that one can robustly recover both radial and angular EAP features while undersampling the acquisition to 64 measurements (undersampling factor of 4)