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Relevant bibliographies by topics / MRI / Books

Books on the topic 'MRI'

To see the other types of publications on this topic, follow the link: MRI.

Author: Grafiati

Published: 4 June 2021

Last updated: 31 August 2024

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1

Brown, Mark A., and Richard C. Semelka. MRI. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2003. http://dx.doi.org/10.1002/0471467936.

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2

Rajan, Sunder S. MRI. New York, NY: Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4612-1632-2.

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3

Prayer, Daniela. Fetal MRI. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2011.

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4

Prayer, Daniela, ed. Fetal MRI. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-540-73271-6.

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5

Danias, Peter G. Cardiovascular MRI. Totowa, NJ: Humana Press, 2008. http://dx.doi.org/10.1007/978-1-59745-511-4.

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6

Moonen, Chrit, and Peter A. Bandettini, eds. Functional MRI. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-58716-0.

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7

Debatin, Jörg F., and Graeme C. McKinnon. Ultrafast MRI. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-80384-0.

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8

Hegazi, Tarek M., and Jim S. Wu. Musculoskeletal MRI. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-26777-3.

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9

Carrio, Ignasi, and Pablo Ros, eds. PET/MRI. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-40692-8.

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10

Pavone, Paolo, and Plinio Rossi, eds. Functional MRI. Milano: Springer Milan, 1996. http://dx.doi.org/10.1007/978-88-470-2194-5.

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11

Perrin, Vincent. MRI Techniques. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118761281.

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12

Hussain, Shahid M., and Michael F. Sorrell. Liver MRI. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-06004-0.

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13

Faro, Scott H., and Feroze B. Mohamed, eds. Functional MRI. New York, NY: Springer New York, 2006. http://dx.doi.org/10.1007/0-387-34665-1.

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14

Hendrick, R. Edward. Breast MRI. New York, NY: Springer New York, 2008. http://dx.doi.org/10.1007/978-0-387-73507-8.

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15

Elmaoğlu, Muhammed, and Azim Çelik. MRI Handbook. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-1096-6.

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16

Fiebach, Jochen B., Peter D. Schellinger, Klaus Sartor, Sabine Heiland, Steven Warach, and Werner Hacke. Stroke MRI. Heidelberg: Steinkopff, 2003. http://dx.doi.org/10.1007/978-3-642-57387-3.

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17

García Martín, María Luisa, and Pilar López Larrubia, eds. Preclinical MRI. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-7531-0.

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18

Murray, Rachel C., ed. Equine MRI. Chichester, UK: John Wiley & Sons, Ltd, 2010. http://dx.doi.org/10.1002/9781118786574.

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19

Saifuddin, Asif. Musculoskeletal MRI. London: Hodder Arnold, 2008.

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20

name, No. Pediatric MRI. 2nd ed. Philadelphia, PA: Lippincott Williams & Wilkins, 2003.

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21

B, Dietrich Rosalind, ed. Pediatric MRI. New York: Raven Press, 1991.

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22

Mitchell, Donald G. MRI principles. Philadelphia: Saunders, 1999.

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23

B, Dietrich Rosalind, ed. Pediatric MRI. 2nd ed. Philadelphia: Lippincott Williams & Wilkins, 2002.

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24

Oldendorf, William H. MRI primer. New York: Raven Press, 1991.

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25

Newhouse, Jeffrey H. Understanding MRI. Boston: Little, Brown, 1991.

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26

B, Lufkin Robert, ed. Interventional MRI. St. Louis: Mosby, 1999.

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27

A, Helms Clyde, ed. Musculoskeletal MRI. 2nd ed. Philadelphia: Saunders, 2009.

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28

D, Cohen Mark Ph, ed. MRI principles. 2nd ed. Philadelphia, Pa: Saunders, 2004.

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29

Beltran, Javier. MRI: Musculoskeletal system. Philadelphia: Lippincott, 1990.

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30

(Editor), Charles B. Higgins, Albert, M.D. de Roos (Editor), and Albert De Roos (Editor), eds. Cardiovascular Mri and Mra. Lippincott Williams & Wilkins, 2002.

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31

Placidi, Giuseppe. MRI. Taylor & Francis Group, 2019.

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32

Majumdar, Angshul, and Rabab Ward, eds. MRI. CRC Press, 2018. http://dx.doi.org/10.1201/b19353.

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33

McGonagle, Dennis, and Iris Eshed. MRI. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198737582.003.0018.

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The features of psoriatic arthritis (PsA) are disparate—from peripheral synovitis to axial inflammation, from bone destruction to bone formation or both, and nail disease. Fat suppression magnetic resonance imaging (MRI) has had a major impact on understanding PsA. MRI suggests a unifying anatomical basis for PsA with the common denominator of disease localization to entheses and adjacent bone and other sites of high biomechanical stress. MRI has also shown that entheseal changes are not uncommon in generalized osteoarthritis and occasionally in normals, making careful clinical correlation essential for imaging interpretation. MRI is useful in predicting the course of axial spondyloarthritis but there are no specific studies in axial PsA; most data comes from ankylosing spondylitis. Additionally MRI has been used for monitoring therapeutic response in PsA where good resolution of enthesitis/osteitis has been reported. Further studies are needed to define the role of MRI in measuring biological remission of PsA.

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34

Placidi, Giuseppe. MRI. CRC Press, 2012. http://dx.doi.org/10.1201/b11868.

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35

Chavhan Govind, B. MRI. Jaypee Brothers Medical Publishers (P) Ltd, 2013. http://dx.doi.org/10.5005/jp/books/11814.

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36

Paolini, Christopher. MRI. Blurb, 2015.

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37

MRI. McGraw-Hill, 1988.

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38

Dietrich, Rosalind B. Pediatric MRI (Raven Mri Teaching File). 2nd ed. Lippincott Williams & Wilkins, 2002.

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39

Jones, PhD, Derek K., ed. Diffusion MRI. Oxford University Press, 2012. http://dx.doi.org/10.1093/med/9780195369779.001.0001.

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Since its initial development in the mid-1980s, and wide accessibility to perform diffusion MRI on all MRI scanners, the use of diffusion MRI has become widespread across the last 30 years. This online resource discusses the importance of ensuring that the hardware is performing optimally, the pulse sequence is carefully designed, the acquisition is optimal, the data quality is maximized while artifacts are minimized, the appropriate post-processing is used, and, where appropriate, the appropriate statistical testing is used, and the data are interpreted correctly. The author is a world authority on diffusion MRI, and has assembled most of the world's leading scientists and clinicians developing and applying diffusion MRI to produce a definitive, didactic and essential reference work for those working with diffusion MRI.

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40

Martin, Nicholas. Cardiac MRI. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780199764495.003.0034.

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Magnetic resonance imaging (MRI) is an important tool for investigating congenital cardiac conditions. It provides excellent images of the cardiac anatomy and is unrivalled in its ability to illuminate the pulmonary vessels. Conservation of femoral vessels and absence of ionizing radiation gives it an advantage over cardiac catheterization. Apart from the challenges of anesthetizing a child with an uncorrected congenital heart condition, the MRI environment presents some unique challenges to the anesthesiologist. It is usually remote from the main operating suite, and the permanent strong magnetic field requires specialized equipment and precautions.

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41

Ramani, Ramachandran, ed. Functional MRI. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190297763.001.0001.

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Functional MRI with BOLD (Blood Oxygen Level Dependent) imaging is one of the commonly used modalities for studying brain function in neuroscience. The underlying source of the BOLD fMRI signal is the variation in oxyhemoglobin to deoxyhemoglobin ratio at the site of neuronal activity in the brain. fMRI is mostly used to map out the location and intensity of brain activity that correlate with mental activities. In recent years, a new approach to fMRI was developed that is called resting-state fMRI. The fMRI signal from this method does not require the brain to perform any goal-directed task; it is acquired with the subject at rest. It was discovered that there are low-frequency fluctuations in the fMRI signal in the brain at rest. The signals originate from spatially distinct functionally related brain regions but exhibit coherent time-synchronous fluctuations. Several of the networks have been identified and are called resting-state networks. These networks represent the strength of the functional connectivity between distinct functionally related brain regions and have been used as imaging markers of various neurological and psychiatric diseases. Resting-state fMRI is also ideally suited for functional brain imaging in disorders of consciousness and in subjects under anesthesia. This book provides a review of the basic principles of fMRI (signal sources, acquisition methods, and data analysis) and its potential clinical applications.

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42

Mitchell, Donald G., and Mark Cohen. MRI Principles. 2nd ed. Saunders, 2003.

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43

Breast MRI. Elsevier, 2022. http://dx.doi.org/10.1016/c2019-0-04600-6.

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44

Breast MRI. New York: Springer-Verlag, 2005. http://dx.doi.org/10.1007/0-387-27595-9.

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45

Liver MRI. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-68239-4.

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46

Musculoskeletal MRI. Elsevier, 2020. http://dx.doi.org/10.1016/c2013-0-18906-4.

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47

Diffusion MRI. Elsevier, 2014. http://dx.doi.org/10.1016/c2011-0-07047-3.

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48

Diffusion MRI. Elsevier, 2009. http://dx.doi.org/10.1016/b978-0-12-374709-9.x0001-6.

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49

Saifuddin, Asif, Philippa Tyler, and Rikin Hargunani. Musculoskeletal MRI. CRC Press, 2016. http://dx.doi.org/10.1201/9781315381541.

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50

Tyler, Philippa, Rikin Hargunani, and Asif Saifuddin. Musculoskeletal MRI. Taylor & Francis Group, 2016.

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