Abstract
Peripheral arterial disease (PAD) is one of the reasons caused to the lower extremity atherosclerotic disease. Its diagnosis is needed to obtain much kind of the information of vascular morphology as well as the blood flow information based on hemodynamics. The diagnosis of the PAD using magnetic resonance imaging (MRI) equipment without contrast medium is available as a useful visual screening in clinical practice. In this paper, we propose a novel method for visualizing hemodynamics to arterial images obtained by a non-contrast enhanced magnetic resonance angiography (MRA) based on the Lucas–Kanade optical flow with the image pyramid processing, and satisfied experimental results are obtained.
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Nakamura K, Miyazaki M, Kuroki K et al (2011) Noncontrast-enhanced peripheral MRA: technical optimization of flow-spoiled fresh blood imaging for screening peripheral arterial diseases. Magn Reson Med 65:595–602
Miyazaki M, Lee S (2008) Nonenhanced MR angiography. Radiology 248:20–43
Yamamoto A, Nakamura K, Miyazaki M et al (2003) Non-contrast-enhanced MRDSA of peripheral arteries using continuous acquisitions of ECG-triggered 2D half-Fourier FSE within a cardiac cycle. In: Proceedings of the international society of magnetic resonance in medicine, vol 11, p 1709
Fitzpatrick JM, Hill DLG, Shyr Y et al (1998) Visual assessment of the accuracy of retrospective registration of MR and CT images of the brain. IEEE Trans Med Imaging 17(4):517–585
Busayarat S, Zrimec T (2007) Detection of bronchopulmonary segments on high-resolution CT preliminary results. In: IEEE international symposium on computer-based medical systems, pp 199–204
Harris C, Stephens M (1988) A combined corner and edge detector. In: Proceedings of the 14th AlveyVision conference, pp 147–151
Schmid C, Mohr R, Bauckhage C (1998) Comparing and evaluating interest points. In: International conference on computer vision, pp 230–235
Lucas B, Kanade T (1981) An iterative image registration technique with an application to stereo vision. In: Proceedings of the seventh international joint conference on artificial intelligence, pp 674–679
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Yamamoto, A., Kim, H., Tan, J.K. et al. Arterial hemodynamic analysis on non-enhanced magnetic resonance angiogram using optical flow. Artif Life Robotics 17, 102–106 (2012). https://doi.org/10.1007/s10015-012-0022-8
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DOI: https://doi.org/10.1007/s10015-012-0022-8