By E. Mark Haacke, Jürgen R. Reichenbach
MRI Susceptibility Weighted Imaging discusses the promising new MRI method known as Susceptibility Weighted Imaging (SWI), a robust instrument for the analysis and therapy of acute stroke, permitting past detection of acute stroke hemorrhage and more uncomplicated detection of microbleeds in acute ischemia. The ebook is edited by means of the originators of SWI and lines contributions from the pinnacle leaders within the technological know-how. proposing an excellent stability among technical/scientific features of the modality and medical program, this booklet comprises over a hundred tremendous high quality radiographic photographs and a hundred extra snap shots and tables.Content:
Chapter 1 creation to Susceptibility Weighted Imaging (pages 1–16): Jurgen R. Reichenbach and E. Mark Haacke
Chapter 2 Magnetic Susceptibility (pages 17–31): Jaladhar Neelavalli and Yu?Chung Norman Cheng
Chapter three Gradient Echo Imaging (pages 33–46): Jurgen R. Reichenbach and E. Mark Haacke
Chapter four part and its courting to Imaging Parameters and Susceptibility (pages 47–71): Alexander Rauscher, E. Mark Haacke, Jaladhar Neelavalli and Jurgen R. Reichenbach
Chapter five figuring out T2*?Related sign Loss (pages 73–87): Jan Sedlacik, Alexander Rauscher, Jurgen R. Reichenbach and E. Mark Haacke
Chapter 6 Processing thoughts and SWI Filtered section photographs (pages 89–101): Alexander Rauscher and Stephan Witoszynskyj
Chapter 7 MR Angiography and Venography of the mind (pages 103–119): Samuel Barnes, Zhaoyang Jin, Yiping P. Du, Andreas Deistung and Jurgen R. Reichenbach
Chapter eight mind Anatomy with part (pages 121–136): Jeff Duyn and Oliver Speck
Chapter nine SWI Venographic Anatomy of the Cerebrum (pages 137–150): Daniel okay. Kido, Jessica Tan, Steven Munson, Udochukwu E. Oyoyo and J. Paul Jacobson
Chapter 10 Novel techniques to Imaging mind Tumors (pages 151–170): Sandeep Mittal, Bejoy Thomas, Zhen Wu and E. Mark Haacke
Chapter eleven irritating mind damage (pages 171–190): Karen Tong, Barbara Holshouser and Zhen Wu
Chapter 12 Imaging Cerebral Microbleeds with SWI (pages 191–214): Muhammad Ayaz, Alexander Boikov, supply McAuley, Mathew Schrag, Daniel okay. Kido, E. Mark Haacke and Wolff Kirsch
Chapter thirteen Imaging Ischemic Stroke and Hemorrhage with SWI (pages 215–234): Nathaniel Wycliffe, Guangbin Wang, Masahiro Ida and Zhen Wu
Chapter 14 Visualizing Deep Medullary Veins with SWI in child and younger babies (pages 235–248): J. Paul Jacobson, Udochukwu E. Oyoyo, Daniel ok. Kido, John Wuchenich and Stephen Ashwal
Chapter 15 Susceptibility Weighted Imaging in a number of Sclerosis (pages 249–264): Yulin Ge, Robert I. Grossman and E. Mark Haacke
Chapter sixteen Cerebral Venous illnesses and Occult Intracranial Vascular Malformations (pages 265–293): Hans?Joachim Mentzel, Guangbin Wang, Masahiro Ida and Jurgen R. Reichenbach
Chapter 17 Sturge–Weber Syndrome (pages 295–305): Zhifeng Kou, Csaba Juhasz and Jiani Hu
Chapter 18 Visualizing the Vessel Wall utilizing Susceptibility Weighted Imaging (pages 307–318): Yang Qi, Samuel Barnes and E. Mark Haacke
Chapter 19 Imaging Breast Calcification utilizing SWI (pages 319–328): Michael D. Noseworthy, Colm Boylan and Ali Fatemi?Ardekani
Chapter 20 Susceptibility Weighted Imaging at Ultrahigh Magnetic Fields (pages 329–349): Andreas Deistung, Samuel Barnes, Yulin Ge and Jurgen R. Reichenbach
Chapter 21 more advantageous distinction in MR Imaging of the Midbrain utilizing SWI (pages 352–367): Elena Manova and E. Mark Haacke
Chapter 22 Measuring Iron content material with section (pages 369–401): Manju Liu, Charbel Habib, Yanwei Miao and E. Mark Haacke
Chapter 23 Validation of section Iron Detection with Synchrotron X?Ray Fluorescence (pages 403–418): Helen Nichol, Karla Hopp, Bogdan F. Gh. Popescu and E. Mark Haacke
Chapter 24 speedy Calculation of Magnetic box Perturbations from organic Tissue in Magnetic Resonance Imaging (pages 419–459): Jaladhar Neelavalli, Yu?Chung Norman Cheng and E. Mark Haacke
Chapter 25 SWIM: Susceptibility Mapping as a way to imagine Veins and Quantify Oxygen Saturation (pages 461–485): Jin Tang, Jaladhar Neelavalli, Saifeng Liu, Yu?Chung Norman Cheng and E. Mark Haacke
Chapter 26 results of distinction brokers in Susceptibility Weighted Imaging (pages 487–515): Andreas Deistung and Jurgen R. Reichenbach
Chapter 27 Oxygen Saturation: Quantification (pages 517–528): E. Mark Haacke, Karthik Prabhakaran, Ilaya Raja Elangovan, Zhen Wu and Jaladhar Neelavalli
Chapter 28 Quantification of Oxygen Saturation of unmarried Cerebral Veins, the Blood Capillary community, and its Dependency on Perfusion (pages 529–542): Jan Sedlacik, track Lai and Jurgen R. Reichenbach
Chapter 29 Integrating Perfusion Weighted Imaging, MR Angiography, and Susceptibility Weighted Imaging (pages 543–559): Meng Li and E. Mark Haacke
Chapter 30 practical Susceptibility Weighted Magnetic Resonance Imaging (pages 561–575): Markus Barth and Daniel B. Rowe
Chapter 31 advanced Thresholding tools for getting rid of Voxels That include Predominantly Noise in Magnetic Resonance photographs (pages 577–603): Daniel B. Rowe, Jing Jiang and E. Mark Haacke
Chapter 32 automated Vein Segmentation and Lesion Detection: From SWI?MIPs to MR Venograms (pages 6056–618): Samuel Barnes, Markus Barth and Peter Koopmans
Chapter 33 fast Acquisition tools (pages 619–635): tune Lai, Yingbiao Xu and E. Mark Haacke
Chapter 34 High?Resolution Venographic daring MRI of Animal mind at 9.4 T: Implications for daring fMRI (pages 637–647): Seong?Gi Kim and Sung?Hong Park
Chapter 35 Susceptibility Weighted Imaging in Rodents (pages 649–667): Yimin Shen, Zhifeng Kou and E. Mark Haacke
Chapter 36 Ultrashort TE Imaging: part and Frequency Mapping of Susceptibility results in brief T2 Tissues of the Musculoskeletal approach (pages 669–696): Jiang Du, Michael Carl and Graeme M. Bydder
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Extra info for Susceptibility Weighted Imaging in MRI: Basic Concepts and Clinical Applications
4) is given by: vðxÞ ¼ ÀgðB0 þ Gx Á xÞ ð2:6Þ That is, each frequency corresponds to a specific spatial location and the Fourier transform is used to put back the signal amplitudes to their corresponding positions using their frequency information. , during the spatial encoding), the static field B0 is uniform across the whole volume being imaged and the gradient field is the only well-defined deviation from 22 MAGNETIC SUSCEPTIBILITY uniformity. 3a) the magnetic field can be perturbed by the presence of a magnetic substance.
For example, sinuses might be modeled as spheres and blood vessels as long cylinders. Since the external uniform magnetic field, B0, is applied along the z-direction, the objects primarily get magnetized along the z-direction, Mz, with Mx, and My, being negligible. 3a), we can approximate Mz as (x/m0)B0. 4. For the cylindrical case, u is the angle that the long axis of the cylinder makes with the main magnetic field B0, and for the spherical case, u is the angle that the position vector r of the point of observation makes with the main magnetic field B0; f is the polar angle subtended by r on the plane perpendicular to the long axis of the cylinder; r is the position vector of the point of observation; and a is the radius of the sphere or the cylinder.
1990;14:538–546. 13. 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. 14. Haacke EM, Lai S, Reichenbach JR, Kuppusamy K, Hoogenraad FGC, Takeichi H, Lin W. In vivo measurement of blood oxygen saturation using magnetic resonance imaging: a direct validation of the blood oxygen level-dependent concept in functional brain imaging. Hum. Brain Mapp. 1997;5:341–346.
Susceptibility Weighted Imaging in MRI: Basic Concepts and Clinical Applications by E. Mark Haacke, Jürgen R. Reichenbach