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Image Post-processing of Blood Pool MR Angiograms

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Clinical Blood Pool MR Imaging
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Abstract

MR angiography (MRA) with blood pool agents produces an even higher number of images (approximately 1000–3000) than conventional contrast-enhanced MRA. The demands for viewing und post-processing these data are very challenging and lead to new types of software and workstations. Image post-processing basically supports the task of structured sorting for viewing and reporting, preparation of data for quantitative evaluation and information compression for documentation.

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References

  1. Douek PC (2005) Image processing in contrast-enhanced MR angiography. In: Schneider G, Prince MR, Meaney JFM, Ho VB (eds) Magnetic resonance angiography. Springer, Milan Berlin Heidelberg New York, pp 55–64

    Chapter  Google Scholar 

  2. Rossnick S, Laub G, Braeckle R (1986) Three-dimensional display of blood vessels in MRI. In: Proceedings of the IEEE computers in cardiology conference, New York, pp 193–195

    Google Scholar 

  3. Laub GA, Kaiser WA (1988) MR angiography with gradient motion refocusing. J Comput Assist Tomogr 12:377–382

    Article  PubMed  CAS  Google Scholar 

  4. O’Donnell T, Tek H, Jolly M-P, Rasch M, Setser R (2006) Comprehensive cardiovascular image analysis using MR and CT at Siemens Corporate Research. Int J Comput Vision 70:165–178

    Article  Google Scholar 

  5. Chen J, Amini AA (2004) Quantifying 3D vascular structures in MRA images using hybrid PDE and geometric deformable models. IEEE on Medical Imaging 23:1251–1262

    Article  Google Scholar 

  6. Lei T, Udapa JK, Saha PK, Odhner D (2001) Artery-vein separation via MRA — an image processing approach. IEEE on MEDICAL Imaging 20:689–703

    Article  CAS  Google Scholar 

  7. Bemmel van CM, Spreeuwers LJ, Viergever MA, Niessen WJ (2003) Level-set-based artery-vein separation in blood pool agent CE-MR angiograms. IEEE on Medical Imaging 22:1224–1234

    Article  Google Scholar 

  8. Tek H, Ayvaci A, Comaniciu D (2005) Multi-scale vessel boundary detection. Computer vision for biomedical image applications, Springer, Berlin Heidelberg, pp 388–398

    Book  Google Scholar 

  9. Tek H, Akova F, Aycaci A (2005) Region competition via local watershed operators. CVPR Conference on Computer Vision and Pattern Recognition, IEEE Computer Society. 2:361–368

    Google Scholar 

  10. Vogt F, Herborn C, Parsons E, Kröger K, Barkhausen J, Goyen M (2007) Diagnostic performance of contrast-enhanced MR angiography of the aortoiliac arteries with the blood pool agent Vasovist®: initial results in comparison to intra-arterial DSA. Rofo 179:412–420

    PubMed  CAS  Google Scholar 

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© 2008 Springer Medizin Verlag Heidelberg

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Graessner, J. (2008). Image Post-processing of Blood Pool MR Angiograms. In: Leiner, T., Goyen, M., Rohrer, M., Schönberg, S. (eds) Clinical Blood Pool MR Imaging. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77861-5_21

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  • DOI: https://doi.org/10.1007/978-3-540-77861-5_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77860-8

  • Online ISBN: 978-3-540-77861-5

  • eBook Packages: MedicineMedicine (R0)

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