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Development of a method for automated and stable myocardial perfusion measurement using coronary X-ray angiography images

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Abstract

The purpose of this study was to develop a method for automatic and stable determination of the optimal time range for fitting with a Patlak plot model in order to measure myocardial perfusion using coronary X-ray angiography images. A conventional two-compartment model is used to measure perfusion, and the slope of the Patlak plot is calculated to obtain a perfusion image. The model holds for only a few seconds while the contrast agent flows from artery to myocardium. Therefore, a specific time range should be determined for fitting with the model. To determine this time range, automation is needed for routine examinations. The optimal time range was determined to minimize the standard error between data points and their least-squares regression straight line in the Patlak plot. A total of 28 datasets were tested in seven porcine models. The new method successfully detected the time range when contrast agent flowed from artery to myocardium. The mean cross correlation in the linear regression analysis (R2) was 0.996 ± 0.004. The mean length of the optimal time range was 3.61 ± 1.29 frames (2.18 ± 1.40 s). This newly developed method can automatically determine the optimal time range for fitting with the model.

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Acknowledgments

The authors would like to thank Mr. Ryoichi Nagae for measuring the calculation times and Dr. Tohru Yagi for his valuable comments.

Conflict of interest

T. Sakaguchi is an employee of Toshiba Medical Systems Corporation. T. Ichihara has received research grant support from Toshiba Medical Systems Corporation. T. Natsume declares that he has no conflict of interest. J. Yao is an employee of Toshiba Medical Research Institute USA. O. Yousuf declares that he has no conflict of interest. J.C. Trost declares that he has no conflict of interest. J.A.C. Lima, has received research grant support from Toshiba Medical Systems Corporation. R.T. George has received research grant support from Toshiba Medical Systems Corporation, Astellas Pharma, and GE Healthcare, and has consulted for ICON Medical Imaging.

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Authors and Affiliations

  1. Toshiba Medical Systems Corporation, 1385 Shimoishigami, Otawara, Tochigi, 324-8550, Japan

    Takuya Sakaguchi

  2. Tokyo Institute of Technology, Tokyo, Japan

    Takuya Sakaguchi

  3. Faculty of Radiological Technology, Fujita Health University School of Health Sciences, Toyoake, Aichi, 470-1192, Japan

    Takashi Ichihara & Takahiro Natsume

  4. Toshiba Medical Research Institute USA, Vernon Hills, IL, 60061, USA

    Jingwu Yao

  5. Department of Medicine, Division of Cardiology, The Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA

    Omair Yousuf, Jeffrey C. Trost, Joao A. C. Lima & Richard T. George

Authors
  1. Takuya Sakaguchi
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  2. Takashi Ichihara
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  3. Takahiro Natsume
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  4. Jingwu Yao
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  5. Omair Yousuf
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  6. Jeffrey C. Trost
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  7. Joao A. C. Lima
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  8. Richard T. George
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Correspondence to Takuya Sakaguchi.

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Sakaguchi, T., Ichihara, T., Natsume, T. et al. Development of a method for automated and stable myocardial perfusion measurement using coronary X-ray angiography images. Int J Cardiovasc Imaging 31, 905–914 (2015). https://doi.org/10.1007/s10554-015-0658-2

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  • DOI: https://doi.org/10.1007/s10554-015-0658-2

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