Abstract
This chapter describes several techniques developed for the use of clinical MRI systems for robotic approaches. At the core are approaches developed for the detection of ferromagnetic object artifacts inside MRI images, the tracking of these and the propulsion sequence. All approaches have been verified in experiments, and tests for the transferability to nanoparticle agglomerations have been made.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Hempel E, Fischer H, Gumb L, Höhn T, Krause H, Voges U, Breitwieser H, Gutmann B, Durke J, Bock M, Melzer A (2003) An MRI-compatible surgical robot for precise radiological interventions. Comput Aided Surg 8(4):180–191
Mathieu J.-B, Beaudoin G, Martel S (2006) Method of propulsion of a ferromagnetic core in the cardiovascular system through magnetic gradients generated by an MRI system. IEEE Transactions on Biomedical Engineering 53(2):292–299
Wortmann T, Dahmen C, Geldmann C, Fatikow S (2010) Recognition and tracking of magnetic nanobots using MRI. In: Proceedings of international symposium on optomechatronic technologies (ISOT), 2010
Stöcker T, Vahedipour K, Pflugfelder D, Jon Shah N (2010) High-performance computing MRI simulations. Magn Reson Med 64(1):p186–p193
Benoit-Cattina H, Collewet G, Belaroussi B, Saint-Jalmes H, Odet C (2005) The simri project: a versatile and interactive mri simulator. J Magn Reson 173:97–115
Yodera DA, Zhaob Y, Paschalc CB, Fitzpatrick JM (2004) MRI simulator with object-specific field map calculations. Magn Reson Imaging 22(3):315–328
Gonzales RC, Woods RE (2008) Digital image processing, 3rd edn. Prentice Hall, Upper Saddle River, NJ
Edelman R, Hesselink J, Zlatkin M, Crues J (2006) Clinical magnetic resonance imaging. Elsevier, New York, NY
Moon TK (1996) The expectation-maximization algorithm. IEEE Signal Process Mag 13(11):47–60
David A Forsyth, Jean Ponce (2002) Computer vision: a modern approach. Prentice Hall, Upper Saddle River, NJ
Duda RO, Hart PE, Stork DG (2001) Pattern classification. Wiley, New York, NY
Felfoul O, Mathieu J-B, Beaudoin G, Martel S (2008) In vivo MR-tracking based on magnetic signature selective excitation. IEEE Trans Med Imaging 27(1):28–35
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer Science+Business Media, LLC
About this chapter
Cite this chapter
Dahmen, C., Wortmann, T., Fatikow, S. (2013). Techniques for MRI-Based Nanorobotics. In: Mavroidis, C., Ferreira, A. (eds) Nanorobotics. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-2119-1_15
Download citation
DOI: https://doi.org/10.1007/978-1-4614-2119-1_15
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-2118-4
Online ISBN: 978-1-4614-2119-1
eBook Packages: EngineeringEngineering (R0)