Skip to main content Accessibility help
×
Hostname: page-component-76fb5796d-5g6vh Total loading time: 0 Render date: 2024-04-25T18:08:47.021Z Has data issue: false hasContentIssue false

Chapter 10 - Susceptibility-weighted imaging

from Section 1 - Physiological MR techniques

Published online by Cambridge University Press:  05 March 2013

Jonathan H. Gillard
Affiliation:
University of Cambridge
Adam D. Waldman
Affiliation:
Imperial College London
Peter B. Barker
Affiliation:
The Johns Hopkins University School of Medicine
Get access

Summary

Introduction

Conventional imaging relies predominantly on the use of magnitude images for information, whether it is T1- or T2-weighted imaging, or diffusion tensor imaging, for example. Apart from applications to flow imaging, phase information of the MR signal is usually discarded. The phase, however, contains useful information about local susceptibility differences between tissues.[1] Susceptibility-weighted imaging (SWI) is a means to enhance contrast in MRI based on tissue susceptibility differences, and it can use both phase and magnitude information of the MR signal.[2] In the past, phase images were difficult to interpret because they contained many artifacts from instrumental imperfections, background field inhomogeneities such as those resulting from air–tissue interfaces, and the main magnetic field itself. If these phase errors are corrected for, however, it is possible to combine the phase and the magnitude information in a way to create what is referred to as a susceptibility-weighted magnitude image. This triplet of images is becoming inceasingly used in clinical neuroimaging protocols.

Data from SWI represent an adjunct to the information available with conventional spin density, T1- and T2-weighted imaging methods and complements other techniques discussed in this book, such as diffusion weighted imaging, perfusion-weighted imaging (PWI), and spectroscopic imaging. Applications for SWI range from visualizing blood products in tumors to measuring iron content in multiple sclerosis lesions.[1–85] In this chapter, we summarize the basic concepts behind SWI, the role of phase, the creation of high-resolution venograms, the quantification of iron, the combination of SWI, MR angiography, and PWI for a better understanding of flow and oxygen saturation, and discuss future directions.

Type
Chapter
Information
Clinical MR Neuroimaging
Physiological and Functional Techniques
, pp. 129 - 136
Publisher: Cambridge University Press
Print publication year: 2009

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Haacke, EM, Lai, S, Yablonskiy, DA, Lin, W. In vivo validation of the BOLD mechanism: a review of signal changes in gradient echo functional MRI in the presence of flow. Intl J Imaging Syst Technol 1995; 6: 153–163.CrossRefGoogle Scholar
Reichenbach, JR, Venkatesan, R, Schillinger, DJ, Kido, DK, Haacke, EM. Small vessels in the human brain: MR venography with deoxyhemoglobin as an intrinsic contrast agent. Radiology 1997; 204: 272–277.CrossRefGoogle ScholarPubMed
Park, HW, Ro, YM, Cho, ZH. Measurement of the magnetic susceptibility effect in high-field NMR imaging. Phys Med Biol 1988; 33: 339–349.CrossRefGoogle ScholarPubMed
Ogawa, S, Lee, TM, Kay, AR, Tank, DW. Brain magnetic resonance imaging with contrast dependent on blood oxygenation. Proc Natl Acad Sci USA 1990; 87: 9868–9872.CrossRefGoogle ScholarPubMed
Yablonskiy, DA, Haacke, EM. Theory of NMR signal behavior in magnetically inhomogeneous tissues: the static dephasing regime. Magn Reson Med 1994; 32: 749–763.CrossRefGoogle ScholarPubMed
Ohnishi, T, Nakano, S, Yano, T, et al. Susceptibility-weighted MRI for evaluation of vasodilatory capacity with acetazolamide challenge. AJNR Am J Neuroradiol 1996; 17: 631–637.Google ScholarPubMed
Yablonskiy, DA, Haacke, EM. An MRI method for measuring T2 in the presence of static and RF magnetic field inhomogeneities. Magn Reson Med 1997; 37: 872–876.CrossRefGoogle ScholarPubMed
Baudendistel, KT, Reichenbach, JR, Metzner, R, Schroeder, J, Schad, LR. Comparison of functional MR-venography and EPI-BOLD fMRI at 1.5 T. Magn Reson Imaging 1998; 16: 989–991.CrossRefGoogle ScholarPubMed
Reichenbach, JR, Essig, M, Haacke, EM, et al. High-resolution venography of the brain using magnetic resonance imaging. Magn Reson Mater Phys, Biol Med 1998; 6: 62–69.CrossRefGoogle ScholarPubMed
Essig, M, Reichenbach, JR, Schad, LR, et al. High-resolution MR venography of cerebral arteriovenous malformations. Magn Reson Imaging 1999; 17: 1417–1425.CrossRefGoogle ScholarPubMed
Infante, I, Llinas, RH, Caplan, LR, Warach, S. MRI features of intracerebral hemorrhage within 2 hours from symptom onset. Stroke 1999; 30: 2263–2267.CrossRefGoogle Scholar
Kiselev, VG, Posse, S. Analytical model of susceptibility-induced MR signal dephasing: effect on diffusion in a microvascular network. Magn Reson Med 1999; 41: 499–509.3.0.CO;2-O>CrossRefGoogle Scholar
Lee, BCP, Vo, KD, Kido, DK, et al. MR high-resolution blood oxygenation level-dependent venography of occult vascular lesions. AJNR Am J Neuroradiol 1999; 20: 1239–1242.Google Scholar
Liang, L, Korogi, Y, Sugahara, T, et al. Detection of intracranial hemorrhage with susceptibility-weighted MR sequences. AJNR Am J Neuroradiol 1999; 20: 1527–1534.Google ScholarPubMed
Lin, W, Mukherjee, P, An, H, et al. Improving high-resolution MR bold venography imaging using a T1 reducing contrast agent. J Magn Reson Imaging 1999; 10: 118–123.3.0.CO;2-V>CrossRefGoogle ScholarPubMed
Tan, IL, van Schijndel, RA, Pouwels, PJW, et al. MR venography of multiple sclerosis. AJNR Am J Neuroradiol 2000; 21: 1039–1042.Google ScholarPubMed
An, H, Lin, W, Celik, A, Lee, YZ. Quantitative measurements of cerebral metablic rate of oxygen utilization using MRI: a volunteer study. NMR Biomed 2001; 14: 441–447.CrossRefGoogle Scholar
Cheng, YN, Haacke, EM, Yu, YJ. An exact form for the magnetic field density of states for a dipole. Magn Reson Imaging 2001; 19: 1017–1023.CrossRefGoogle ScholarPubMed
Cheng, YN, Haacke, EM. Predicting BOLD signal changes as a function of blood volume fraction and resolution. NMR Biomed 2001; 14: 468–477.CrossRefGoogle Scholar
Essig, M, Reichenbach, JR, Schad, L, Debus, J, Kaiser, WA. High-field MR venography of cerebral arteriovenous malformations. [German]Radiologe 2001; 41: 288–295.CrossRefGoogle Scholar
Reichenbach, JR, Barth, M, Haacke, EM, et al. High-resolution MR venography at 3.0 Tesla. J Comput Assist Tomogr 2000; 24: 949–957.CrossRefGoogle ScholarPubMed
Reichenbach, JR, Haacke, EM.High-resolution BOLD venographic imaging: a window into brain function. NMR Biomed 2001; 14: 453–467.CrossRefGoogle ScholarPubMed
Reichenbach, JR, Jonetz-Mentzel, L, Fitzek, C, et al. High-resolution blood oxygen-level dependent MR venography (HRBV): a new technique. Neuroradiology 2001; 43: 364–369.CrossRefGoogle ScholarPubMed
Schad, LR. Improved target volume characterization in stereotactic treatment planning of brain lesions by using high-resolution BOLD MR-venography. NMR Biomed 2001; 14: 478–483.CrossRefGoogle ScholarPubMed
Haacke, EM, Herigault, G, Yu, Y, et al. Observing tumor vascularity noninvasively using magnetic resonance imaging. Image Anal Stereol 2002; 21: 107–113.CrossRefGoogle Scholar
Kiselev, VG, Novikov, DS. Transverse NMR relaxation as a probe of mesoscopic structure. Phys Rev Lett 2002; 89: 1–4.CrossRefGoogle ScholarPubMed
Abduljalil, AM, Schmalbrock, P, Novak, V, Chakeres, DW. Enhanced gray and white matter contrast of phase susceptibility-weighted images in ultra-high-field magnetic resonance imaging. J Magn Reson Imaging 2003; 18: 284–290.CrossRefGoogle ScholarPubMed
Barth, M, Nöbauer-Huhmann, I-M, Reichenbach, JR, et al. High-resolution 3D contrast-enhanced BOLD MR venography of brain tumors at 3 T: first clinical experience and comparison with 1.5 T. Invest Radiol 2003; 38: 409–414.CrossRefGoogle Scholar
Essig, M, Waschkies, M, Wenz, F, Debus, J, Hentrich, HR, Knopp, MV. Assessment of brain metastases with dynamic susceptibility-weighted contrast-enhanced MR imaging: initial results. Radiology 2003; 228: 193–199.CrossRefGoogle ScholarPubMed
Tong, KA, Ashwal, S, Holshouser, BA, et al. Improved detection of hemorrhagic shearing lesions in children with post-traumatic diffuse axonal injury: initial results. Radiology 2003; 227: 332–339.CrossRefGoogle Scholar
Warmuth, C, Gunther, M, Zimmer, C. Quantification of blood flow in brain tumors: comparison of arterial spin labeling and dynamic susceptibility-weighted contrast-enhanced MR imaging. Radiology 2003; 228: 523–532.CrossRefGoogle ScholarPubMed
Greer, DM, Koroshetz, WJ, Cullen, S, Gonzalez, RG, Lev, MH. Magnetic resonance imaging improves detection of intracerebral hemorrhage over computed tomography after intra-arterial thrombolysis. Stroke 2004; 35: 491–495.CrossRefGoogle ScholarPubMed
Haacke, EM, Xu, Y, Cheng, YCN, Reichenbach, JR.Susceptibility weighted imaging (SWI). Magn Reson Med 2004; 52: 612–618.CrossRefGoogle Scholar
Haddar, D, Haacke, EM, Sehgal, V, et al. L’imagerie de susceptibilite magnetique: theorie et applications. [French]J Radiol 2004; 85: 1901–1908.CrossRefGoogle Scholar
Hermier, M, Nighoghossian, N. Contribution of susceptibility-weighted imaging to acute stroke assessment. Stroke 2004; 35: 1989–1994.CrossRefGoogle ScholarPubMed
Ito, H, Kanno, I, Kato, C, et al. Database of normal human cerebral blood flow, cerebral blood volume, cerebral oxygen extraction fraction and cerebral metabolic rate of oxygen measured by PET with 15O-labeled CO2 or water, CO and oxygen: a multicenter study in Japan. Eur J Nucl Med Mol Imaging 2004; 31: 635–643.Google Scholar
Kiselev, VG. Effect of magnetic field gradients induced by microvasculature on NMR measurements of molecular self-diffusion in biological tissues. J Magn Reson 2004; 170: 228–235.CrossRefGoogle ScholarPubMed
Tong, K, Ashwal, S, Holshouser, B, et al. Diffuse axonal injury in children: clinical correlation with hemorrhagic lesions. Ann Neurol 2004; 56: 36–50.CrossRefGoogle ScholarPubMed
Wycliffe, ND, Choe, J, Holshouser, B, et al. Reliability in detection of hemorrhage in acute stroke by a new three-dimensional gradient recalled echo susceptibility-weighted imaging technique compared to computed tomography: a retrospective study. J Magn Reson Imaging 2004; 20: 372–377.CrossRefGoogle ScholarPubMed
Babikian, T, Freier, MC, Tong, KA, et al. Susceptibility weighted imaging: neuropsychologic outcome and pediatric head injury. Pediatr Neurol 2005; 33: 184–194.CrossRefGoogle ScholarPubMed
Haacke, EM, Cheng, NYC, House, MJ, et al. Imaging iron stores in the brain using magnetic resonance imaging. Magn Reson Imaging 2005; 23: 1–25.CrossRefGoogle Scholar
Mentzel, H-J, Dieckmann, A, Fitzek, C, et al. Early diagnosis of cerebral involvement in Sturge–Weber syndrome using high-resolution BOLD MR venography. Pediatr Radiol 2005; 35: 85–90.CrossRefGoogle ScholarPubMed
Rauscher, A, Sedlacik, J, Barth, M, Haacke, EM, Reichenbach, JR. Non-invasive assessment of vascular architecture and during modulated blood oxygenation using susceptibility weighted MRI (SWI). Magn Reson Med 2005; 54: 87–95.CrossRefGoogle Scholar
Rauscher, A, Sedlacik, J, Barth, M, Mentzel, H-J, Reichenbach, JR. Magnetic susceptibility-weighted MR phase imaging of the human brain. AJNR Am J Neuroradiol 2005; 26: 736–742.Google ScholarPubMed
Rauscher, A, Sedlacik, J, Fitzek, C, et al. High resolution susceptibility weighted MR imaging of brain tumors during the application of a gaseous agent. Fortschr Röntgenstr 2005; 177: 1065–1069.CrossRefGoogle ScholarPubMed
Sehgal, V, DelProposto, Z, Haacke, EM, et al. Clinical applications of neuroimaging with susceptibility weighted imaging. J Magn Reson Imaging 2005; 22: 439–450.CrossRefGoogle ScholarPubMed
Ashwal, S, Babikian, T, Gardner-Nichols, J, et al. Susceptibility-weighted imaging and proton magnetic resonance spectroscopy in assessment of outcome after pediatric traumatic brain injury. Arch Phys Med Rehab 2006; 87(Suppl 2): S50–S58.CrossRefGoogle ScholarPubMed
Fernandez-Seara, MA, Techawiboonwong, A, Detre, JA, Wehrli, FW. MR susceptometry for measuring global brain oxygen extraction. Magn Reson Med 2006; 55: 967–973.CrossRefGoogle ScholarPubMed
Haacke, EM. Susceptibility weighted imaging (SWI). Z Med Phys 2006; 16: 237.CrossRefGoogle Scholar
Hamans, BC, Barth, M, Leenders, WP, Heerschap, A. Contrast enhanced susceptibility weighted imaging (CE-SWI) of the mouse brain using ultra small superparamagnetic iron oxide particles (USPIO). Z Med Phys 2006; 16: 269–274.CrossRefGoogle Scholar
Noebauer-Huhmann, IM, Pinker, K, Barth, M, et al. Contrast-enhanced, high-resolution, susceptibility-weighted magnetic resonance imaging of the brain: dose-dependent optimization at 3 Tesla and 1.5 Tesla in healthy volunteers. Invest Radiol 2006; 41: 249–255.CrossRefGoogle ScholarPubMed
Pintaske, J, Müller-Bierl, B, Schick, F. Effect of spatial distribution of magnetic dipoles on Larmor frequency distribution and MR signal decay: a numerical approach under static dephasing conditions. Magn Reson Mater Phy 2006; 19: 46–53.CrossRefGoogle Scholar
Sehgal, V, DelProposto, Z, Haddar, D, et al. Susceptibility weighted imaging to visualize blood products and improve tumor contrast in the study of brain masses. J Magn Reson Imaging 2006; 24: 41–51.CrossRefGoogle Scholar
Xu, Y, Haacke, EM. The role of voxel aspect ratio in determining apparent phase behavior in susceptibility weighted imaging. Magn Reson Imaging 2006; 24: 155–160.CrossRefGoogle ScholarPubMed
Yoshida, Y, Terae, S, Kudo, K, et al. Capillary telangiectasia of the brain stem diagnosed by susceptibility-weighted imaging. J Comp Assist Tomogr 2006; 30: 980–982.CrossRefGoogle ScholarPubMed
Akter, M, Hirai, T, Hiai, Y, et al. Detection of hemorrhagic hypointense foci in the brain on susceptibility-weighted imaging: clinical and phantom studies. Acad Radiol 2007; 14: 1011–1019.CrossRefGoogle ScholarPubMed
Desai, SV, Bindu, PS, Ravishankar, S, Jayakumar, PN, Pal, PK.Relaxation and susceptibility MRI characteristics in Hallervorden–Spatz syndrome. J Magn Reson Imaging 2007; 25: 715–720.CrossRefGoogle Scholar
Edelman, RR, Storey, P, Dunkle, E, et al. Gadolinium-enhanced off-resonance contrast angiography. Magn Reson Med 2007; 57: 475–484.CrossRefGoogle ScholarPubMed
Haacke, EM, Ayaz, M, Khan, A, et al. Establishing a baseline phase behavior in magnetic resonance imaging to determine normal vs. abnormal iron content in the brain. J Magn Reson Imaging. 2007; 26: 256–64.CrossRefGoogle Scholar
Haacke, EM, DelProposto, ZS, Chaturvedi, S, et al. Imaging cerebral amyloid angiopathy with susceptibility weighted imaging. AJNR Am J Neuroradiol 2007; 28: 316–317.Google ScholarPubMed
He, X, Yablonskiy, DA. Quantitative BOLD-mapping of human cerebral deoxygenated blood volume and oxygen extraction fraction-default state. Magn Reson Med 2007; 57: 115–126.CrossRefGoogle ScholarPubMed
Larsen, JP, Britt, W, Kido, D, Olson, BLB, Holshouser, BA, Kirsch, WM.Susceptibility weighted magnetic resonance imaging in the evalution of dementia. Radiol Case Reports 2007; 2: 1–4.CrossRefGoogle Scholar
Ohta, A, Naito, K, Ohkubo, M, et al. Study of susceptibility-weighted imaging (SWI) using a simple MR phantom. [Japanese]Nippon Hoshasen Gijutsu Gakkai Zassh 2007; 63: 1093–1098.CrossRefGoogle Scholar
Pinker, K, Noebauer-Huhmann, IM, Stavrou, I, et al. High-resolution contrast-enhanced, susceptibility-weighted MI imaging at 3 T in patients with brain tumors: correlation with positron-emission tomography and histopathologic findings. AJNR Am J Neuroradiol 2007; 28: 1280–1286.CrossRefGoogle Scholar
Sedlacik, J, Rauscher, A, Reichenbach, JR. Obtaining blood oxygenation levels from MR signal behavior in the presence of single venous vessels. Magn Reson Med 2007; 58: 1035–1044.CrossRefGoogle ScholarPubMed
Shen, Y, Kou, Z, Kreipke, CW, et al. In vivo measurement of tissue damage, oxygen saturation changes and blood flow changes after experimental traumatic brain injury in rats using susceptibility weighted imaging. Magn Reson Imaging 2007; 25: 219–227.CrossRefGoogle ScholarPubMed
de Souza, JM, Domingues, RC, Cruz, LC, et al. Susceptibility-weighted imaging for the evaluation of patients with familial cerebral cavernous malformations: a comparison with T2-weighted fast spin-echo and gradient-echo sequences. AJNR Am J Neuroradiol 2008; 29: 154–158.CrossRefGoogle ScholarPubMed
Du, YP, Jin, Z.Simultaneous acquisition of MR angiography and venography (MRAV). Magn Reson Med 2008; 59: 954–958.CrossRefGoogle Scholar
Fushimi, Y, Miki, Y, Togashi, K, et al. A developmental venous anomaly presenting atypical findings on susceptibility-weighted imaging. AJNR Am J Neuroradiol 2008; 29: e56.CrossRefGoogle ScholarPubMed
Hammond, KE, Lupo, JM, Xu, D, et al. Development of a robust method for generating 7.0 T multichannel phase images of the brain with application to normal volunteers and patients with neurological diseases. Neuroimage 2008; 39: 1682–1692.CrossRefGoogle Scholar
Harder, SL, Hopp, KM, Ward, H, et al. Mineralization of the deep gray matter with age: a retrospective review with susceptibility-weighted MR imaging. AJNR Am J Neuroradiol 2008; 29: 176–183.CrossRefGoogle Scholar
Hennig, J.Ultra high field MR: useful instruments or toys for the boys?Magn Reson Mater Phy 2008; 21: 1–3.CrossRefGoogle ScholarPubMed
Hu, J, Lu, Y, Juhasz, C, et al. MR susceptibility weighted imaging (SWI) complements conventional contrast enhanced T1 weighted MRI in characterizing brain abnormalities of Sturge–Weber syndrome. J Magn Reson Imaging 2008; 28: 300–307.CrossRefGoogle ScholarPubMed
Jin, Z, Xia, L, Du, YP.Reduction of artifacts in susceptibility-weighted MR venography of the brain. J Magn Reson Imaging 2008; 28: 327–333.CrossRefGoogle Scholar
Koopmans, PJ, Manniesing, R, Niessen, WJ, Viergever, MA, Barth, M.MR venography of the human brain using susceptibility weighted imaging at very high field strength. Magn Reson Mater Phy 2008; 21: 149–158.CrossRefGoogle Scholar
Liu, HL, Wai, YY, Chen, WS, et al. Hemorrhage detection during focused-ultrasound induced blood–brain-barrier opening by using susceptibility-weighted magnetic resonance imaging. Ultrasound Med Biol 2008; 34: 598–606.CrossRefGoogle ScholarPubMed
Matsushita, T, Anami, D, Arioka, T, et al. Basic study of susceptibility-weighted imaging at 1.5 T. Acta Med Okayama 2008; 62: 159–168.Google Scholar
Meindl, T, Born, C, Britsch, S, Reiser, M, Schoenberg, S.Functional BOLD MRI: comparison of different field strengths in a motor task. Eur Radiol 2008; 18: 1102–1113.CrossRefGoogle Scholar
Sedlacik, J, Helm, K, Rauscher, A, et al. Investigations on the effect of caffeine on cerebral venous vessel contrast by using susceptibility-weighted imaging (SWI) at 1.5, 3 and 7 T. Neuroimage 2008; 40: 11–18.CrossRefGoogle ScholarPubMed
Somasundaram, S, Kesavadas, C, Thomas, B.Susceptibility weighted imaging in holohemispheric venous angioma with cerebral hemiatrophy. Neurol India 2008; 56: 104–105.Google Scholar
Thomas, B, Somasundaram, S, Thamburaj, K, et al. Clinical applications of susceptibility weighted MR imaging of the brain: a pictorial review. Neuroradiology. 2008; 50: 105–116.CrossRefGoogle ScholarPubMed
Zhong, K, Leupold, J, von Elverfeldt, D, Speck, O.The molecular basis for gray and white matter contrast in phase imaging. Neuroimage 2008; 40: 1561–1566.CrossRefGoogle ScholarPubMed
Niwa, T, Aida, N, Shishikura, A, Fujita, K, Inoue, T. Susceptibility-weighted imaging findings of cortical laminar necrosis in pediatric patients. AJNR Am J Neuroradiol 2008; 29: 1795.CrossRefGoogle ScholarPubMed
Pandian, DSJ, Ciulla, C, Haacke, EM, Jiang, J, Ayaz, M.Complex threshold method for identifying pixels that contain predominantly noise in magnetic resonance images. J Magn Reson Imaging 2008; 28: 727–735.CrossRefGoogle ScholarPubMed
Rauscher, A, Barth, M, Herrmann, K-H, Witoszynskyj, S, Deistung, A, Reichenbach, JR. Improved elimination of phase effects from background field inhomogeneities for susceptibility weighted imaging at high magnetic field strengths. Magn Reson Imaging 2008; 26: 1145–1151.CrossRefGoogle ScholarPubMed
Haacke, EM, Tkach, JA, Parrish, TB.Reducing T2* dephasing in gradient field echo imaging. Radiology 1989; 70: 457–462.CrossRefGoogle Scholar
Reichenbach, JR, Venkatesan, R, Yablonskiy, DA, et al. Theory and application of static field inhomogeneity effects in gradient-echo imaging. J Magn Reson Imaging 1997; 7: 266–279.CrossRefGoogle ScholarPubMed
Haacke, EM, Lai, S, Reichenbach, JR, et al. In vivo measurement of blood oxygen saturation using MRI. Hum Brain Mapp 1997; 5: 341–346.3.0.CO;2-3>CrossRefGoogle Scholar
Haacke, EM, Brown, RW, Thompson, RM, Venkatesan, R.Magnetic Resonance Imaging: Physical Principles and Sequence Design. Chichester, UK: John Wiley, 1999, pp. 741–779.Google Scholar
Akbudak, E, Norberg, RE, Conturo, TE.Contrast-agent phase effects: an experimental system for analysis of susceptibility, concentration, and bolus input function kinetics. Magn Reson Med 1997; 38: 990–1002.CrossRefGoogle ScholarPubMed
Wang, Y, Yu, Y, Li, D, et al. Artery and vein separation using susceptibility-dependent phase in contrast-enhanced MRA. J Magn Reson Imaging 2000; 12: 661–670.3.0.CO;2-L>CrossRefGoogle ScholarPubMed
Duyn, JH, van Gelderen, P, Li, TQ, et al. High-field MRI of brain cortical substructure based on signal phase. Proc Natl Acad Sci USA 2007; 104: 11796–801.CrossRefGoogle ScholarPubMed
Rauscher, A, Barth, M, Reichenbach, JR, et al. Automated unwrapping of MR phase images applied to BOLD MR-venography at 3 Tesla. J Magn Reson Imaging 2003; 18: 175–80.CrossRefGoogle ScholarPubMed
Neelavalli, J, Cheng, YC, Haacke, EM.Removal of air/tissue interface field effects in susceptibility weighted imaging. In Proceedings of the 16th Annual Meeting of the International Society of Magnetic Resonance in Medicine, Toronto, 2008, abst 3499.Google Scholar

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×