Skip to main content

Comparative Analysis of Medical Imaging Techniques Used for the Detection of Thyroid Gland with an Emphasis on Thermogram

  • Conference paper
  • First Online:
Emerging Research in Computing, Information, Communication and Applications

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 928))

  • 499 Accesses

Abstract

In today’s scenario, every human being in the world is scared of the COVID-19 pandemic, and everyone in the world want early medication for COVID-19. So in this paper, a study of numerous medical imaging techniques used for detection of thyroid gland in the human being in different stages of human life is presented. Early thyroid illness discovery is that the main necessary in growing the speed of diagnosing cure and survival of the affected creature. There are a various medical imaging techniques used to detect thyroid diseases in human being. Some techniques are used to diagnose stages of thyroid cancer in humans. This paper is used to explain the procedure for the diagnosis of images, investigation of images, pros, cons, and limitations of imaging techniques. A comparative study of various medical imaging techniques explains the Thermogram image is the noninvasive system that detects the relative temperature variations in patients form thyroid diseases. In this paper, survey of the various algorithm implemented is studied for thermography, MRI, ultrasound, and mammography from the literature review and it is observed that detection of thyroid abnormalities using different techniques not only decides many factors such as segmentation of the region of thyroid gland, image quality, and extraction features and classifiers.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 299.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 379.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 379.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Shi W, Zhuang X, Wang H, Duckett S, Luong DV, Tobon-Gomez C, Tung K, Edwards PJ, Rhode KS, Razavi RS et al (2012) A comprehensive cardiac motion estimation framework using both untagged and 3-D tagged MR images based on nonrigid registration. IEEE Trans Med Imaging 31(6):1263–1275

    Google Scholar 

  2. Fa Y, Mendis S (2014) Global status report on non communicable diseases 2014. World Health Organization reports

    Google Scholar 

  3. Sathish D, Kamath S, Rajagopal KV, Prasad K (2016) Medical imaging techniques and computer-aided diagnostic approaches for the detection of breast cancer with an emphasis on thermography—a review. Int J Med Eng Inform

    Google Scholar 

  4. Lustig M, Donoho DL, Santos JM, Pauly JM (2008) Compressed sensing MRI. IEEE Signal Process Mag 25:72–82

    Google Scholar 

  5. Liang D, DiBella EV, Chen RR, Ying L (2012) k-t ISD: dynamic cardiac MR imaging using compressed sensing with iterative support detection. Magn Reson Med 68:41–53

    Google Scholar 

  6. Axel L, Montillo A, Kim D (2005) Tagged magnetic resonance imaging of the heart: a survey. Med Image Anal 9(4):376–393; Lustig M, Donoho DL, Pauly JM (2007) Sparse MRI: the application of compressed sensing for rapid MR imaging. Magn Reson Med 58:1182–1195

    Google Scholar 

  7. www.healthand.com

  8. Zhao B, Haldar JP, Christodoulou AG, Liang ZP (2012) Image reconstruction from highly undersampled (k, t)-space data with joint partial separability and sparsity constraints. IEEE Trans Med Imaging 31:1809–1820

    Article  Google Scholar 

  9. www.patientmemoirs.com

  10. www.allbreed.net

  11. www.data.conferecneworld.com

  12. www.adclinic.com

  13. www.cancer.org

  14. www.endocrine.org

  15. www.hopetbi.com

  16. https://en.wikipedia.org/wiki/Infrared

  17. https://en.wikipedia.org/wiki/Max_Planck

  18. www.omnicalculator.com/physics/wiens-law

  19. LeCun Y, Bottou L, Bengio Y, Haffner P (1998) Gradient-based learning applied to document recognition. Proc IEEE 86(11):2278–2324

    Google Scholar 

  20. Ramos-Llordén G, den Dekker AJ, Sijbers J (2017) Partial discreteness: a novel prior for magnetic resonance image reconstruction. IEEE Trans Med Imaging 36(5):1041–1053

    Google Scholar 

  21. Salem N, Malik H, Shams A (2019) Medical image enhancement based on histogram algorithms. Procedia Comput Sci 163:300–311. In: 16th international learning & technology conference

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to G. Drakshaveni .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Drakshaveni, G., Hamsavath, P.N. (2023). Comparative Analysis of Medical Imaging Techniques Used for the Detection of Thyroid Gland with an Emphasis on Thermogram. In: Shetty, N.R., Patnaik, L.M., Prasad, N.H. (eds) Emerging Research in Computing, Information, Communication and Applications. Lecture Notes in Electrical Engineering, vol 928. Springer, Singapore. https://doi.org/10.1007/978-981-19-5482-5_60

Download citation

  • DOI: https://doi.org/10.1007/978-981-19-5482-5_60

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-5481-8

  • Online ISBN: 978-981-19-5482-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics