A new method incorporating deep learning with shape priors for left ventricular segmentation in myocardial perfusion SPECT images

no code implementations • 7 Jun 2022 • Fubao Zhu, Jinyu Zhao, Chen Zhao, Shaojie Tang, Jiaofen Nan, Yanting Li, Zhongqiang Zhao, Jianzhou Shi, Zenghong Chen, Zhixin Jiang, Weihua Zhou

Conclusion: Our proposed method achieved a high accuracy in extracting LV myocardial contours and assessing LV function.

Spatial-temporal V-Net for automatic segmentation and quantification of right ventricles in gated myocardial perfusion SPECT images

1 code implementation • 11 Oct 2021 • Chen Zhao, Shi Shi, Zhuo He, Cheng Wang, Zhongqiang Zhao, Xinli Li, Yanli Zhou, Weihua Zhou

By integrating the spatial features from each cardiac frame of the gated MPS and the temporal features from the sequential cardiac frames of the gated MPS, we developed a Spatial-Temporal V-Net (ST-VNet) for automatic extraction of RV endocardial and epicardial contours.

Segmentation