Skip to main content
Log in

Role of MRI in medical diagnostics

  • General/Article
  • Published:
Resonance Aims and scope Submit manuscript

Abstract

Magnetic resonance imaging (MRI) is a well-established imaging modality capable of providing high resolution structural and functional images of tissues of in the human body. MRI is also relatively safer than some of the other imaging modalities such as X-ray CT and PET with respect to ionization. In this article, we discuss the basic working principles and role of MRI in the diagnosis of diseases of head and neck, breast, cardiac, abdomen and musculoskeletal system to provide an overview of the diagnostic and/or prognostic potential and capability of MRI in the clinic.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Suggested Reading

  1. W S Richardson, M C Wilson and G Guyatt, The process of diagnosis., Users’ Guides to the Medical Literature: A Manual for Evidence-Based Clinical Practice, 2nd Ed. New York, NY: McGraw-Hill, 2008.

    Google Scholar 

  2. R W Brown, Y C N Cheng, E M Haacke, M R Thompson and R Venkatesan, Magnetic resonance imaging: physical principles and sequence design, John Wiley & Sons, 2014.

    Book  Google Scholar 

  3. R Gasparotti, L Pinelli and R Liserre, New MR sequences in daily practice: susceptibility weighted imaging, A pictorial essay, Insights into Imaging, Vol.2, No.3, pp.335–347, 2011.

    Article  Google Scholar 

  4. E Mark Haacke et al, Characterizing Iron Deposition in Multiple Sclerosis Lesions Using Susceptibility Weighted Imaging, Journal of magnetic resonance imaging/: JMRI, Vol.29, No.3, pp.537–544, 2009. PMC. Web. 1 Oct 2015.

    Article  Google Scholar 

  5. M A Bernstein, K F King and X J Zhou, Handbook of MRI pulse sequences, Elsevier, 2004.

    Google Scholar 

  6. S Geethanath, R Reddy, A S Konar, S Imam, R Sundaresan and R Venkatesan, Compressed sensing MRI: a review, Critical Reviews™ in Biomedical Engineering, Vol.41, No.3, 2013.

  7. F Kilic, H Ogul, U Bayraktutan, H Gumus, O Unal, M Kantarci and M H Yilmaz, Diagnostic Magnetic Resonance Imaging of the Breast, The Eurasian Journal of Medicine, Vol.44, No.2, 106–114, 2012. http://doi.org/10.5152/eajm.2012.24

    Article  Google Scholar 

  8. S Maniam and J Szklaruk, Magnetic resonance imaging: Review of imaging techniques and overview of liver imaging, World Journal of Radiology, Vol.2, No.8, pp.309–322, 2010. http://doi.org/10.4329/ wjr.v2.i8.309

    Article  Google Scholar 

  9. M R Oliva, K J Mortele, S M Erturk, and P R Ros, Magnetic resonance imaging of the pancreas, Applied Radiology, Vol.35, No.2, p.7, 2006.

    Google Scholar 

  10. M A Blake, C G Cronin and G W Boland, Adrenal Imaging. American Journal of Roentgenology, Vol.194, No.6, pp.1450–1460, 2010. http:// doi.org/10.2214/AJR.10.4547

    Article  Google Scholar 

  11. I Pedrosa, M R Sun, M Spencer, E M Genega, A F Olumi, W C Dewolf and N M Rofsky, MR Imaging of Renal Masses: Correlation with Findings at Surgery and Pathologic Analysis, RadioGraphics, Vol.28, No.4, pp.985–1003, 2008. http://doi.org/10.1148/rg.284065018

    Article  Google Scholar 

  12. J V Hegde, R V Mulkern, L P Panych, F M Fennessy, A Fedorov, S E Maier and CMC Tempany, Multiparametric MRI of Prostate Cancer: An Update on State-of-the-Art Techniques and Their Performance in Detecting and Localizing Prostate Cancer, Journal of Magnetic Resonance Imaging/: JMRI, Vol.37, No.5, pp.1035–1054, 2013. http://doi.org/ 10.1002/jmri.23860

    Article  Google Scholar 

  13. L M Fayad, M A Jacobs, X Wang, J A Carrino and D A Bluemke, Musculoskeletal Tumors: How to Use Anatomic, Functional, and Metabolic MR Techniques, Radiology, Vol. 265, No.2, pp.340–356, 2012.

    Article  Google Scholar 

  14. Maxine A Papadakis, Stephen J Mcphee and Michael W Rabow, Current Medical Diagnosis and Treatment, 2012.

    Google Scholar 

  15. Matt A Bernstein, Kevin F King and Xiaohong Joe Zhou, Handbook of MRI pulse Sequences

  16. Robert W Brown, Yu-Chung N Cheng, E MarkHaacke and Ramesh Venkatesan, Magnetic Resonance Imaging: Principles and Sequence Design

  17. Satish K Bhargava, CT and MRI protocols

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sairam Geethanath.

Additional information

Rashmi Rao is pursuing her master’s thesis at the Medical Imaging Research Centre, Dayananda Sagar Institutions, Bengaluru. Her research interests include magnetic resonance fingerprinting and low field MRI instrumentation.

Ramesh Venkatesan is a principal engineer with Wipro-GE Healthcare, Bengaluru. His areas of interest include novel acquisition, reconstruction, quantitative imaging and workflow automation algorithms for magnetic resonance imaging.

Sairam Geethanath heads the Medical Imaging Research Centre, Dayananda Sagar Institutions, Bengaluru. His research interests include accelerated MRI and costeffective NMR/MRI instrumentation.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Rao, R., Venkatesan, R. & Geethanath, S. Role of MRI in medical diagnostics. Reson 20, 1003–1011 (2015). https://doi.org/10.1007/s12045-015-0268-2

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12045-015-0268-2

Keywords

Navigation