Zobrazeno 1 - 10
of 161
pro vyhledávání: '"Tung‐Hsin Wu"'
Publikováno v:
EJNMMI Physics, Vol 11, Iss 1, Pp 1-13 (2024)
Abstract Background Deep learning (DL)-based denoising has been proven to improve image quality and quantitation accuracy of low dose (LD) SPECT. However, conventional DL-based methods used SPECT images with mixed frequency components. This work aims
Externí odkaz:
https://doaj.org/article/2d575a2f90f64a0dba0062e5322b6bd8
Autor:
Shan‐Ying Wang, Wei‐Ta Tsai, Kuan‐Heng Lin, Chih‐Wei Yu, Shu‐Ya Yang, Pei‐Wei Shueng, Yen‐Wen Wu, Chen‐Xiong Hsu, Tung‐Hsin Wu
Publikováno v:
Thoracic Cancer, Vol 14, Iss 26, Pp 2696-2706 (2023)
Abstract Background This study aimed to utilize an innovative method of integrating the 20 subvolume dose of left ventricle and the Tl‐201 single photon emission computed tomography (SPECT) with myocardial perfusion imaging (MPI) parameters in pati
Externí odkaz:
https://doaj.org/article/78a5cf4ea4fb47db8ae4341466351e95
Autor:
Shan-Ying Wang, Kuan-Heng Lin, Yen-Wen Wu, Chih-Wei Yu, Shu-Ya Yang, Pei-Wei Shueng, Chen-Xiong Hsu, Tung-Hsin Wu
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract Adjuvant breast radiotherapy could reduce the risk of local recurrence. However, the radiation dose received by the heart also increases the risk of cardiotoxicity and causes consequential heart diseases. This prospective study aimed to eval
Externí odkaz:
https://doaj.org/article/dc8e530ef0c34a7eaacb5a5dde59f1d9
Autor:
Ya-Ting Jan, Pei-Shan Tsai, Wen-Hui Huang, Ling-Ying Chou, Shih-Chieh Huang, Jing-Zhe Wang, Pei-Hsuan Lu, Dao-Chen Lin, Chun-Sheng Yen, Ju-Ping Teng, Greta S. P. Mok, Cheng-Ting Shih, Tung-Hsin Wu
Publikováno v:
Insights into Imaging, Vol 14, Iss 1, Pp 1-10 (2023)
Abstract Background To develop an artificial intelligence (AI) model with radiomics and deep learning (DL) features extracted from CT images to distinguish benign from malignant ovarian tumors. Methods We enrolled 149 patients with pathologically con
Externí odkaz:
https://doaj.org/article/1384111336284d9faefb12e058bd8cb4
Autor:
Chen‐Xiong Hsu, Kuan‐Heng Lin, Pei‐Wei Shueng, Yen‐Wen Wu, Wei‐Ta Tsai, Chiu‐Han Chang, Hui‐Ju Tien, Shan‐Ying Wang, Tung‐Hsin Wu, Greta S. P. Mok
Publikováno v:
Thoracic Cancer, Vol 13, Iss 22, Pp 3114-3123 (2022)
Abstract Objective The incidence of radiation pneumonitis (RP) has a highly linear relationship with low‐dose lung volume. We previously established a volume‐based algorithm (VBA) method to improve low‐dose lung volume in radiotherapy (RT). Thi
Externí odkaz:
https://doaj.org/article/638afa842d404251a013fa8f0b178e92
Autor:
Moon-Sing Lee, Wei-Ta Tsai, Hsuan-Ju Yang, Shih-Kai Hung, Wen-Yen Chiou, Dai-Wei Liu, Liang-Cheng Chen, Chia-Hui Chew, Ben-Hui Yu, Feng-Chun Hsu, Tung-Hsin Wu, Hon-Yi Lin
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 10 (2023)
BackgroundEven though advanced radiotherapy techniques provide a better protective effect on surrounding normal tissues, the late sequelae from radiation exposure to the heart are still considerable in breast cancer patients. The present population-b
Externí odkaz:
https://doaj.org/article/e2eb3c1e8f054235adebae3aa3677813
Autor:
Jingzhang Sun, Bang-Hung Yang, Chien-Ying Li, Yu Du, Yi-Hwa Liu, Tung-Hsin Wu, Greta S. P. Mok
Publikováno v:
Frontiers in Medicine, Vol 10 (2023)
PurposeDeep learning-based denoising is promising for myocardial perfusion (MP) SPECT. However, conventional convolutional neural network (CNN)-based methods use fixed-sized convolutional kernels to convolute one region within the receptive field at
Externí odkaz:
https://doaj.org/article/b351c15a560147908163b284b980d766
Autor:
Chen-Xiong Hsu, Kuan-Heng Lin, Shan-Ying Wang, Wei-Ta Tsai, Chiu-Han Chang, Hui-Ju Tien, Pei-Wei Shueng, Tung-Hsin Wu, Greta S. P. Mok
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-9 (2022)
Abstract Radiotherapy treatment planning (RTP) is time-consuming and labor-intensive since medical physicists must devise treatment plans carefully to reduce damage to tissues and organs for patients. Previously, we proposed the volume-based algorith
Externí odkaz:
https://doaj.org/article/e6b4d96a68c54992baab2c6c03839eaa
Autor:
Kuan-Heng Lin, Chen-Xiong Hsu, Shan-Ying Wang, Greta S. P. Mok, Chiu-Han Chang, Hui-Ju Tien, Pei-Wei Shueng, Tung-Hsin Wu
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
Abstract This study aims to develop a volume-based algorithm (VBA) that can rapidly optimize rotating gantry arc angles and predict the lung V5 preceding the treatment planning. This phantom study was performed in the dynamic arc therapy planning sys
Externí odkaz:
https://doaj.org/article/291e691fbc864f08abcefee5c5035f61
Autor:
Jen-Yuan Kuo, Xuanyi Jin, Jing-Yi Sun, Sheng-Hsiung Chang, Po-Ching Chi, Kuo-Tzu Sung, Greta S. P. Mok, Chun-Ho Yun, Shun-Chuan Chang, Fa-Po Chung, Ching-Hsiang Yu, Tung-Hsin Wu, Chung-Lieh Hung, Hung-I Yeh, Carolyn S. P. Lam
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 9 (2022)
BackgroundHeart failure with preserved ejection fraction (HFpEF) and atrial fibrillation (AF) commonly coexist with overlapping pathophysiology like left atrial (LA) remodeling, which might differ given different underlying mechanisms.ObjectivesWe so
Externí odkaz:
https://doaj.org/article/a861149852a54ddeac1cab9fe5524e81