Susumu Mori1, Kenichi Oishi, Andreia V Faria. 1. Division of NMR Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA. Susumu@mri.jhu.edu
Abstract
PURPOSE OF REVIEW: Diffusion tensor imaging (DTI) has a unique capability to delineate axonal tracts within the white matter, which has not been possible with previous noninvasive imaging techniques. In the past 10 years, we have witnessed a large increase in the use of DTI-based studies and a score of new anatomical knowledge and image analysis tools have been introduced in recent years. This review will provide an overview of the recent advancements in DTI-based studies and new image analysis tools. RECENT FINDINGS: DTI provided new dimensions for the characterization of white matter anatomy. This characterization of the white matter can be roughly divided into two categories. First, the white matter can be parcellated into constituent white matter tracts, based on pixel-by-pixel orientation and anisotropy information. Second, the DTI information can be extrapolated to obtain three-dimensional connectivity information. Based on these capabilities of DTI, many new image analysis tools are being developed to investigate the status of the white matter. SUMMARY: In the past, the white matter has often been treated as one compartment. With DTI and recently developed analysis tools, we can investigate the status of intra-white matter structures and deepen our understanding of white matter structures and their abnormalities under pathological conditions.
PURPOSE OF REVIEW: Diffusion tensor imaging (DTI) has a unique capability to delineate axonal tracts within the white matter, which has not been possible with previous noninvasive imaging techniques. In the past 10 years, we have witnessed a large increase in the use of DTI-based studies and a score of new anatomical knowledge and image analysis tools have been introduced in recent years. This review will provide an overview of the recent advancements in DTI-based studies and new image analysis tools. RECENT FINDINGS: DTI provided new dimensions for the characterization of white matter anatomy. This characterization of the white matter can be roughly divided into two categories. First, the white matter can be parcellated into constituent white matter tracts, based on pixel-by-pixel orientation and anisotropy information. Second, the DTI information can be extrapolated to obtain three-dimensional connectivity information. Based on these capabilities of DTI, many new image analysis tools are being developed to investigate the status of the white matter. SUMMARY: In the past, the white matter has often been treated as one compartment. With DTI and recently developed analysis tools, we can investigate the status of intra-white matter structures and deepen our understanding of white matter structures and their abnormalities under pathological conditions.
Authors: J L Lancaster; M G Woldorff; L M Parsons; M Liotti; C S Freitas; L Rainey; P V Kochunov; D Nickerson; S A Mikiten; P T Fox Journal: Hum Brain Mapp Date: 2000-07 Impact factor: 5.038
Authors: Setsu Wakana; Hangyi Jiang; Lidia M Nagae-Poetscher; Peter C M van Zijl; Susumu Mori Journal: Radiology Date: 2003-11-26 Impact factor: 11.105
Authors: J Mazziotta; A Toga; A Evans; P Fox; J Lancaster; K Zilles; R Woods; T Paus; G Simpson; B Pike; C Holmes; L Collins; P Thompson; D MacDonald; M Iacoboni; T Schormann; K Amunts; N Palomero-Gallagher; S Geyer; L Parsons; K Narr; N Kabani; G Le Goualher; D Boomsma; T Cannon; R Kawashima; B Mazoyer Journal: Philos Trans R Soc Lond B Biol Sci Date: 2001-08-29 Impact factor: 6.237
Authors: Jorge Jovicich; Silvester Czanner; Xiao Han; David Salat; Andre van der Kouwe; Brian Quinn; Jenni Pacheco; Marilyn Albert; Ronald Killiany; Deborah Blacker; Paul Maguire; Diana Rosas; Nikos Makris; Randy Gollub; Anders Dale; Bradford C Dickerson; Bruce Fischl Journal: Neuroimage Date: 2009-02-20 Impact factor: 6.556
Authors: Donald J Hagler; Mazyar E Ahmadi; Joshua Kuperman; Dominic Holland; Carrie R McDonald; Eric Halgren; Anders M Dale Journal: Hum Brain Mapp Date: 2009-05 Impact factor: 5.038
Authors: M Chupin; A Hammers; R S N Liu; O Colliot; J Burdett; E Bardinet; J S Duncan; L Garnero; L Lemieux Journal: Neuroimage Date: 2009-02-21 Impact factor: 6.556
Authors: Arno Klein; Jesper Andersson; Babak A Ardekani; John Ashburner; Brian Avants; Ming-Chang Chiang; Gary E Christensen; D Louis Collins; James Gee; Pierre Hellier; Joo Hyun Song; Mark Jenkinson; Claude Lepage; Daniel Rueckert; Paul Thompson; Tom Vercauteren; Roger P Woods; J John Mann; Ramin V Parsey Journal: Neuroimage Date: 2009-01-13 Impact factor: 6.556
Authors: Kelsi K Hirai; Benjamin N Groisser; William A Copen; Aneesh B Singhal; Judith D Schaechter Journal: J Neurosci Methods Date: 2015-09-16 Impact factor: 2.390
Authors: Fang-Cheng Yeh; Sandip Panesar; David Fernandes; Antonio Meola; Masanori Yoshino; Juan C Fernandez-Miranda; Jean M Vettel; Timothy Verstynen Journal: Neuroimage Date: 2018-05-24 Impact factor: 6.556
Authors: Ajay B Satpute; Philip A Kragel; Lisa Feldman Barrett; Tor D Wager; Marta Bianciardi Journal: Neurosci Lett Date: 2018-01-31 Impact factor: 3.046