naa a22 4500 510806937 CHVBK 20180411083422.0 cr unu---uuuuu 180411e20130101xx s 000 0 eng 10.1007/s11548-012-0692-7 doi (NATIONALLICENCE)springer-10.1007/s11548-012-0692-7 Automatic model-based contour detection of left ventricle myocardium from cardiac CT images [Elektronische Daten] [Takamasa Sugiura, Tomoyuki Takeguchi, Yukinobu Sakata, Shuhei Nitta, Tomoya Okazaki, Nobuyuki Matsumoto, Yasuko Fujisawa] Purpose: For accurate evaluation of myocardial perfusion on computed tomography images, precise identification of the myocardial borders of the left ventricle (LV) is mandatory. In this article, we propose a method to detect the contour of LV myocardium automatically and accurately. Methods: Our detection method is based on active shape model. For precise detection, we estimate the pose and shape parameters separately by three steps: LV coordinate system estimation, myocardial shape estimation, and transformation. In LV coordinate system estimation, we detect heart features followed by the entire LV by introducing machine-learning approach. Since the combination of two types feature detection covers the LV variation, such as pose or shape, we can estimate the LV coordinate system robustly. In myocardial shape estimation, we minimize the energy function including pattern error around myocardium with adjustment of pattern model to input image using estimated concentration of contrast dye. Finally, we detect LV myocardial contours in the input images by transforming the estimated myocardial shape using the matrix composed of the vectors calculated by the LV coordinate system estimation. Results: In our experiments with 211 images from 145 patients, mean myocardial contours point-to-point errors for our method as compared to ground truth were 1.02mm for LV endocardium and 1.07mm for LV epicardium. The average computation time was 2.4s (on a 3.46GHz processor with 2-multithreading process). Conclusions: Our method achieved accurate and fast myocardial contour detection which may be sufficient for myocardial perfusion examination. CARS, 2012 Computed tomography nationallicence Active shape models nationallicence Myocardial contour detection nationallicence Myocardial perfusion nationallicence Left ventricle estimation nationallicence Extremely randomized trees nationallicence Sugiura Takamasa Multimedia Laboratory, Corporate Research and Development Center, Toshiba Corporation, 1 Komukaitoshiba-cho, Saiwai-ku, 212-8582, Kawasaki, Kanagawa, Japan aut Takeguchi Tomoyuki Multimedia Laboratory, Corporate Research and Development Center, Toshiba Corporation, 1 Komukaitoshiba-cho, Saiwai-ku, 212-8582, Kawasaki, Kanagawa, Japan aut Sakata Yukinobu Multimedia Laboratory, Corporate Research and Development Center, Toshiba Corporation, 1 Komukaitoshiba-cho, Saiwai-ku, 212-8582, Kawasaki, Kanagawa, Japan aut Nitta Shuhei Multimedia Laboratory, Corporate Research and Development Center, Toshiba Corporation, 1 Komukaitoshiba-cho, Saiwai-ku, 212-8582, Kawasaki, Kanagawa, Japan aut Okazaki Tomoya Multimedia Laboratory, Corporate Research and Development Center, Toshiba Corporation, 1 Komukaitoshiba-cho, Saiwai-ku, 212-8582, Kawasaki, Kanagawa, Japan aut Matsumoto Nobuyuki Multimedia Laboratory, Corporate Research and Development Center, Toshiba Corporation, 1 Komukaitoshiba-cho, Saiwai-ku, 212-8582, Kawasaki, Kanagawa, Japan aut Fujisawa Yasuko CT Systems Development Department, Toshiba Medical Systems Corporation, 1385 Shimoishigami, 324-8550, Otawara, Tochigi, Japan aut International Journal of Computer Assisted Radiology and Surgery Springer-Verlag 8/1(2013-01-01), 145-155 1861-6410 8:1<145 2013 8 11548 https://doi.org/10.1007/s11548-012-0692-7 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11548-012-0692-7 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Sugiura Takamasa Multimedia Laboratory, Corporate Research and Development Center, Toshiba Corporation, 1 Komukaitoshiba-cho, Saiwai-ku, 212-8582, Kawasaki, Kanagawa, Japan aut NATIONALLICENCE 700 1- Takeguchi Tomoyuki Multimedia Laboratory, Corporate Research and Development Center, Toshiba Corporation, 1 Komukaitoshiba-cho, Saiwai-ku, 212-8582, Kawasaki, Kanagawa, Japan aut NATIONALLICENCE 700 1- Sakata Yukinobu Multimedia Laboratory, Corporate Research and Development Center, Toshiba Corporation, 1 Komukaitoshiba-cho, Saiwai-ku, 212-8582, Kawasaki, Kanagawa, Japan aut NATIONALLICENCE 700 1- Nitta Shuhei Multimedia Laboratory, Corporate Research and Development Center, Toshiba Corporation, 1 Komukaitoshiba-cho, Saiwai-ku, 212-8582, Kawasaki, Kanagawa, Japan aut NATIONALLICENCE 700 1- Okazaki Tomoya Multimedia Laboratory, Corporate Research and Development Center, Toshiba Corporation, 1 Komukaitoshiba-cho, Saiwai-ku, 212-8582, Kawasaki, Kanagawa, Japan aut NATIONALLICENCE 700 1- Matsumoto Nobuyuki Multimedia Laboratory, Corporate Research and Development Center, Toshiba Corporation, 1 Komukaitoshiba-cho, Saiwai-ku, 212-8582, Kawasaki, Kanagawa, Japan aut NATIONALLICENCE 700 1- Fujisawa Yasuko CT Systems Development Department, Toshiba Medical Systems Corporation, 1385 Shimoishigami, 324-8550, Otawara, Tochigi, Japan aut NATIONALLICENCE 773 0- International Journal of Computer Assisted Radiology and Surgery Springer-Verlag 8/1(2013-01-01), 145-155 1861-6410 8:1<145 2013 8 11548 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer