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Quantification of aortic elasticity: development and experimental validation of a method using computed tomography

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Abstract

Aortic distensibility depending on aortic cross-sectional area changes is an important parameter for the grading of vascular diseases. This study measured aortic area changes by multidetector computed tomography. An image reconstruction algorithm was developed to assess aorta diameter and area as a function of the cardiac cycle with sufficient time resolution along the entire length of the aorta by four-detector row computed tomography. The algorithm was tested on porcine aortic specimens and compared with an optical reference method. The error of the relative vessel area change comparing the two methods was found to be about 3%. Initial tests on patient datasets indicate that clinical application is feasible. The proposed method has the advantage that it can easily be integrated into a modified routine CT angiography study and allows the measurement of aortic cross-sectional area changes.

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References

  1. Kopp AF, Kuttner A, Trabold T et al (2003) Cardiac and vascular MDCT: thoracic imaging. Eur Radiol 13(Suppl 5):M73–M81

    PubMed  Google Scholar 

  2. Willoteaux S, Lions C, Gaxotte V et al (2004) Imaging of aortic dissection by helical computed tomography (CT). Eur Radiol 14:1999–2008

    Article  PubMed  Google Scholar 

  3. Laurent S, Katsahian S, Fassot C et al (2003) Aortic stiffness is an independent predictor of fatal stroke in essential hypertension. Stroke 34:1203–1206

    Article  PubMed  Google Scholar 

  4. Herrington DM, Kesler K, Reiber JC et al (2003) Arterial compliance adds to conventional risk factors for prediction of angiographic coronary artery disease. Am Heart J 146:662–667

    Article  PubMed  Google Scholar 

  5. Willens HJ, Davis W, Herrington DM et al (2003) Relationship of peripheral arterial compliance and standard cardiovascular risk factors. Vasc Endovasc Surg 37:197–206

    Google Scholar 

  6. Hirai T, Sasayama S, Kawasaki T et al (1989) Stiffness of systemic arteries in patients with myocardial infarction. A noninvasive method to predict severity of coronary atherosclerosis. Circulation 80:78–86

    PubMed  Google Scholar 

  7. Urchuk SN, Plewes DB (1995) A velocity correlation method for measuring vascular compliance using MR imaging. J Magn Reson Imaging 5:628–634

    PubMed  Google Scholar 

  8. Hardy CJ, Bolster BD Jr, McVeigh ER et al (1996) Pencil excitation with interleaved fourier velocity encoding: NMR measurement of aortic distensibility. Magn Reson Med 35:814–819

    PubMed  Google Scholar 

  9. Boese JM, Bock M, Schoenberg SO et al (2000) Estimation of aortic compliance using magnetic resonance pulse wave velocity measurement. Phys Med Biol 45:1703–1713

    Article  PubMed  Google Scholar 

  10. Itskovich VV, Kraft KA, Fei DY (2001) Rapid aortic wave velocity measurement with MR imaging. Radiology 219:551–557

    PubMed  Google Scholar 

  11. Mohiaddin RH, Yang GZ, Burger P et al (1992) Automatic enhancement, animation, and segmentation of flow in peripheral arteries from MR phase-shift velocity mapping. J Comput Assist Tomogr 16:176–181

    PubMed  Google Scholar 

  12. Wright JS, Cruickshank JK, Kontis S et al (1990) Aortic compliance measured by non-invasive Doppler ultrasound: description of a method and its reproducibility. Clin Sci (Lond) 78:463–468

    Google Scholar 

  13. Hansen F, Mangell P, Sonesson B et al (1995) Diameter and compliance in the human common carotid artery-variations with age and sex. Ultrasound Med Biol 21:1–9

    Article  PubMed  Google Scholar 

  14. Wilson KA, Hoskins PR, Lee AJ et al (2000) Ultrasonic measurement of abdominal aortic aneurysm wall compliance: a reproducibility study. J Vasc Surg 31:507–513

    Article  PubMed  Google Scholar 

  15. Kachelriess M, Ulzheimer S, Kalender WA (2000) ECG-correlated image reconstruction from subsecond multi-slice spiral CT scans of the heart. Med Phys 27:1881–1902

    Article  PubMed  Google Scholar 

  16. Boese JM, Bahner ML, Albers J et al (2000) Optimizing temporal resolution in CT with retrospective ECG gating. Radiologe 40:123–129

    Article  PubMed  Google Scholar 

  17. Bahner ML, Boese JM, Wallschläger H et al (1999) Spiral CT of the heart with retrospective ECG-gating. Electromedica 67:37–41

    Google Scholar 

  18. Abada HT, Sapoval MR, Paul JF et al (2003) Aneurysmal sizing after endovascular repair in patients with abdominal aortic aneurysm: interobserver variability of various measurement protocols and its clinical relevance. Eur Radiol 13:2699–2704

    Article  PubMed  Google Scholar 

  19. Catalano C, Napoli A, Fraioli F et al (2003) Multidetector-row CT angiography of the infrarenal aortic and lower extremities arterial disease. Eur Radiol 13(Suppl 5):M88–M93

    PubMed  Google Scholar 

  20. Nollen GJ, Westerhof BE, Groenink M et al (2004) Aortic pressure-area relation in Marfan patients with and without beta blocking agents: a new non-invasive approach. Heart 90:314–318

    Article  PubMed  Google Scholar 

  21. Nichols WW (1990) Properties of the arterial wall. In: Nichols WW, O’ Rourke MF (eds) McDonald’s blood flow in arteries. Edward Arnold, London, p 96

    Google Scholar 

  22. Boese JM, Bahner ML, Albers J et al (2001) An improved algorithm for multi-slice cardiac CT imaging with high temporal resolution (abstract). Radiology 221:457

    Google Scholar 

  23. Bland JM, Altman DG (1986) Statistical methods for assessing agreement between two methods of clinical measurement. Lancet I:307–310

    Google Scholar 

  24. Albers J, Boese JM, Vahl CF et al (2003) In vivo validation of cardiac spiral computed tomography using retrospective gating. Ann Thorac Surg 75:885–889

    Article  PubMed  Google Scholar 

  25. Poll LW, Cohnen M, Brachten S et al (2002) Dose reduction in multi-slice CT of the heart by use of ECG-controlled tube current modulation (“ECG pulsing”): phantom measurements. Rofo Fortschr Geb Rontgenstrahlen Neuen Bildgeb Verfahr 174:1500–1505

    Article  Google Scholar 

  26. Flohr T, Ohnesorge B, Bruder H et al (2003) Image reconstruction and performance evaluation for ECG-gated spiral scanning with a 16-slice CT system. Med Phys 30:2650–2662

    Article  PubMed  Google Scholar 

  27. Hahmann M, Richter GM, Schuhmacher H et al (2001) Post-traumatic dissection of the abdominal aorta. Radiologe 41:590–594

    Article  PubMed  Google Scholar 

  28. O’Rourke MF (1990) Aging, high blood pressure and disease in humans. In: Nichols WW, O’ Rourke MF (eds) McDonald’s blood flow in arteries. Edward Arnold, London, p 450

    Google Scholar 

  29. Imura T, Yamamoto K, Kanamori K et al (1986) Non-invasive ultrasonic measurement of the elastic properties of the human abdominal aorta. Cardiovasc Res 20:208–214

    PubMed  Google Scholar 

  30. Hahmann M, Boese JM, Leitermann D et al (2001) Measurement of aortic elasticity using ECG-gated multidetector-row CT: an ex-vivo experiment (abstract). Radiology 221:33

    Google Scholar 

  31. Wintersperger B, Jakobs T, Herzog P et al (2005) Aorto-iliac multidetector-row CT angiography with low kV settings: improved vessel enhancement and simultaneous reduction of radiation dose. Eur Radiol 15:334–341

    Article  PubMed  Google Scholar 

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Authors and Affiliations

  1. Department of Biophysics and Medical Radiation Physics, Deutsches Krebsforschungszentrum, Im Neuenheimer Feld 280, 69120, Heidelberg, Germany

    Marika Ganten, Jan M. Boese, David Leitermann & Wolfhard Semmler

  2. Department of Diagnostic Radiology, Radiological University Hospital, Ruprecht Karl University of Heidelberg, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany

    Marika Ganten, Jan M. Boese, David Leitermann & Wolfhard Semmler

Authors
  1. Marika Ganten
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  2. Jan M. Boese
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  3. David Leitermann
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  4. Wolfhard Semmler
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Correspondence to Marika Ganten.

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Ganten, M., Boese, J.M., Leitermann, D. et al. Quantification of aortic elasticity: development and experimental validation of a method using computed tomography. Eur Radiol 15, 2506–2512 (2005). https://doi.org/10.1007/s00330-005-2857-z

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  • DOI: https://doi.org/10.1007/s00330-005-2857-z

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