- 著者
- Risako Nakao Michinobu Nagao Kenji Fukushima Akiko Sakai Eri Watanabe Masateru Kawakubo Shuji Sakai Nobuhisa Hagiwara
- 出版者
- The Japanese Circulation Society
- 雑誌
- Circulation Reports (ISSN:24340790)
- 巻号頁・発行日
- pp.CR-18-0024, (Released:2019-07-26)
- 参考文献数
- 33
- 被引用文献数
- 4
Background:We investigated the association between left ventricle ejection fraction (LVEF) and vortex flow (VF), and whether cardiac resynchronization therapy (CRT) response can be predicted using VF mapping (VFM) in patients with dilated cardiomyopathy (DCM).Methods and Results:Cardiac magnetic resonance imaging data for 20 patients with heart failure (HF) with LVEF ≥40% and 25 patients with DCM with LVEF <40%, scheduled for CRT, were retrospectively analyzed. The maximum VF (MVF) on short-axis, long-axis and 4-chamber LV cine imaging were calculated using VFM. Summed MVF was used as a representative value for each case and was significantly greater for patients with DCM than for patients with HF with LVEF ≥40% (25.2±19.2% vs. 12.1±15.4%, P<0.005). Summed MVF was significantly greater for CRT responders (n=12, 35.8±22.7%) than for non-responders (n=13, 15.8±8.7%, P=0.04) during the mean follow-up period of 38.4 months after CRT. Patients with summed MVF ≥31.3% had a significantly higher major adverse cardiac event-free rate than those with MVF <31.3% (log-rank=4.51, P<0.05).Conclusions:On VFM analysis, LV VF interrupted efficient ejection in HF. Summed MVF can predict CRT response in DCM.
- 著者
- Shuji SAKAI Koichi ITO Takafumi AOKI Takafumi WATANABE Hiroki UNTEN
- 出版者
- The Institute of Electronics, Information and Communication Engineers
- 雑誌
- IEICE TRANSACTIONS on Information and Systems (ISSN:09168532)
- 巻号頁・発行日
- vol.E98-D, no.10, pp.1818-1828, 2015-10-01
Methods of window matching to estimate 3D points are the most serious factors affecting the accuracy, robustness, and computational cost of Multi-View Stereo (MVS) algorithms. Most existing MVS algorithms employ window matching based on Normalized Cross-Correlation (NCC) to estimate the depth of a 3D point. NCC-based window matching estimates the displacement between matching windows with sub-pixel accuracy by linear/cubic interpolation, which does not represent accurate sub-pixel values of matching windows. This paper proposes a technique of window matching that is very accurate using Phase-Only Correlation (POC) with geometric correction for MVS. The accurate sub-pixel displacement between two matching windows can be estimated by fitting the analytical correlation peak model of the POC function. The proposed method also corrects the geometric transformations of matching windows by taking into consideration the 3D shape of a target object. The use of the proposed geometric correction approach makes it possible to achieve accurate 3D reconstruction from multi-view images even for images with large transformations. The proposed method demonstrates more accurate 3D reconstruction from multi-view images than the conventional methods in a set of experiments.