Search Results - "Mok, Greta S. P."

Voxel-S-Value based 3D treatment planning methods for Y-90 microspheres radioembolization based on Tc-99m-macroaggregated albumin SPECT/CT by Chen, Gefei, Lu, Zhonglin, Jiang, Han, Lin, Ko-Han, Mok, Greta S. P.

“…Partition model (PM) for Y-90 microsphere radioembolization is limited in providing 3D dosimetrics. Voxel-S-Values (VSV) method has good agreement with Monte…”
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Targeted therapies of inflammatory diseases with intracellularly gelated macrophages in mice and rats by Gao, Cheng, Wang, Qingfu, Ding, Yuanfu, Kwong, Cheryl H. T., Liu, Jinwei, Xie, Beibei, Wei, Jianwen, Lee, Simon M. Y., Mok, Greta S. P., Wang, Ruibing

“…Membrane-camouflaged nanomedicines often suffer from reduced efficacy caused by membrane protein disintegration and spatial disorder caused by separation and…”
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Non-Gaussian analysis of diffusion weighted imaging in head and neck at 3T: a pilot study in patients with nasopharyngeal carcinoma by Yuan, Jing, Yeung, David Ka Wai, Mok, Greta S P, Bhatia, Kunwar S, Wang, Yi-Xiang J, Ahuja, Anil T, King, Ann D

“…To technically investigate the non-Gaussian diffusion of head and neck diffusion weighted imaging (DWI) at 3 Tesla and compare advanced non-Gaussian diffusion…”
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Evaluation of different respiratory gating schemes for cardiac SPECT by Zhang, Duo, Pretorius, P. Hendrik, Ghaly, Michael, Zhang, Qi, King, Michael A., Mok, Greta S.P.

“…Respiratory gating reduces motion blurring in cardiac SPECT. Here we aim to evaluate the performance of three respiratory gating strategies using a population…”
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Partial volume correction for Lu-177-PSMA SPECT by Liu, Yibin, Lu, Zhonglin, Chen, Gefei, Shi, Kuangyu, Mok, Greta S. P.

“…Background The limited spatial resolution in SPECT images leads to partial volume effect (PVE), degrading the subsequent dosimetric accuracy. We aim to…”
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Planning evaluation of a novel volume-based algorithm for personalized optimization of lung dose in VMAT for esophageal cancer by Hsu, Chen-Xiong, Lin, Kuan-Heng, Wang, Shan-Ying, Tsai, Wei-Ta, Chang, Chiu-Han, Tien, Hui-Ju, Shueng, Pei-Wei, Wu, Tung-Hsin, Mok, Greta S. P.

“…Radiotherapy treatment planning (RTP) is time-consuming and labor-intensive since medical physicists must devise treatment plans carefully to reduce damage to…”
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Volume-based algorithm of lung dose optimization in novel dynamic arc radiotherapy for esophageal cancer by Lin, Kuan-Heng, Hsu, Chen-Xiong, Wang, Shan-Ying, Mok, Greta S. P., Chang, Chiu-Han, Tien, Hui-Ju, Shueng, Pei-Wei, Wu, Tung-Hsin

“…This study aims to develop a volume-based algorithm (VBA) that can rapidly optimize rotating gantry arc angles and predict the lung V 5 preceding the treatment…”
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Machine learning combined with radiomics and deep learning features extracted from CT images: a novel AI model to distinguish benign from malignant ovarian tumors by Jan, Ya-Ting, Tsai, Pei-Shan, Huang, Wen-Hui, Chou, Ling-Ying, Huang, Shih-Chieh, Wang, Jing-Zhe, Lu, Pei-Hsuan, Lin, Dao-Chen, Yen, Chun-Sheng, Teng, Ju-Ping, Mok, Greta S. P., Shih, Cheng-Ting, Wu, Tung-Hsin

“…Background To develop an artificial intelligence (AI) model with radiomics and deep learning (DL) features extracted from CT images to distinguish benign from…”
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Design and evaluation of two multi-pinhole collimators for brain SPECT by Chen, Ling, Tsui, Benjamin M. W., Mok, Greta S. P.

“…Objective SPECT is a powerful tool for diagnosing or staging brain diseases such as Alzheimer’s disease (AD) and Parkinson’s disease (PD) but is limited by its…”
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Deep learning-based multi-frequency denoising for myocardial perfusion SPECT by Du, Yu, Sun, Jingzhang, Li, Chien-Ying, Yang, Bang-Hung, Wu, Tung-Hsin, Mok, Greta S. P.

“…Background Deep learning (DL)-based denoising has been proven to improve image quality and quantitation accuracy of low dose (LD) SPECT. However, conventional…”
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Radiomics incorporating deep features for predicting Parkinson’s disease in 123I-Ioflupane SPECT by Jiang, Han, Du, Yu, Lu, Zhonglin, Wang, Bingjie, Zhao, Yonghua, Wang, Ruibing, Zhang, Hong, Mok, Greta S. P.

“…Purpose 123 I-Ioflupane SPECT is an effective tool for the diagnosis and progression assessment of Parkinson’s disease (PD). Radiomics and deep learning (DL)…”
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Infant cardiac CT angiography with 64-slice and 256-slice CT: comparison of radiation dose and image quality using a pediatric phantom by Lee, Yi-Wei, Yang, Ching-Ching, Mok, Greta S P, Wu, Tung-Hsin

“…The aims of this study were to investigate the image quality and radiation exposure of pediatric protocols for cardiac CT angiography (CTA) in infants under…”
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Interpolated Average CT for Attenuation Correction in PET-A Simulation Study by Mok, Greta S. P., Sun, Tao, Huang, Tzung-Chi, Vai, Mang I.

“…Previously, we proposed using an interpolated average CT (IACT) method for attenuation correction (AC) in positron emission tomography (PET), which is a good,…”
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The use of back propagation neural networks and 18F-Florbetapir PET for early detection of Alzheimer's disease using Alzheimer's Disease Neuroimaging Initiative database by Ozsahin, Ilker, Sekeroglu, Boran, Mok, Greta S P

“…Amyloid beta (Aβ) plaques aggregation is considered as the "start" of the degenerative process that manifests years before the clinical symptoms appear in…”
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SPECT and CT misregistration reduction in [99mTc]Tc-MAA SPECT/CT for precision liver radioembolization treatment planning by Lu, Zhonglin, Chen, Gefei, Jiang, Han, Sun, Jingzhang, Lin, Ko-Han, Mok, Greta S. P.

“…Purpose Respiration and body movement induce misregistration between static [ 99m Tc]Tc-MAA SPECT and CT, causing lung shunting fraction (LSF) and…”
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Transfer learning-based attenuation correction for static and dynamic cardiac PET using a generative adversarial network by Sun, Hao, Wang, Fanghu, Yang, Yuling, Hong, Xiaotong, Xu, Weiping, Wang, Shuxia, Mok, Greta S. P., Lu, Lijun

“…Purpose The goal of this work is to demonstrate the feasibility of directly generating attenuation-corrected PET images from non-attenuation-corrected (NAC)…”
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National Survey of Radiation Dose and Image Quality in Adult CT Head Scans in Taiwan by Lin, Chung-Jung, Mok, Greta S P, Tsai, Mang-Fen, Tsai, Wei-Ta, Yang, Bang-Hung, Tu, Chun-Yuan, Wu, Tung-Hsin

“…The purpose of the present study was to evaluate the influence of different variables on radiation dose and image quality based on a national database…”
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Deep-learning-based estimation of attenuation map improves attenuation correction performance over direct attenuation estimation for myocardial perfusion SPECT by Du, Yu, Shang, Jingjie, Sun, Jingzhang, Wang, Lu, Liu, Yi-Hwa, Xu, Hao, Mok, Greta S.P.

“…Deep learning (DL)-based attenuation correction (AC) is promising to improve myocardial perfusion (MP) SPECT. We aimed to optimize and compare the DL-based…”
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Deep learning–based dynamic PET parametric Ki image generation from lung static PET by Wang, Haiyan, Wu, Yaping, Huang, Zhenxing, Li, Zhicheng, Zhang, Na, Fu, Fangfang, Meng, Nan, Wang, Haining, Zhou, Yun, Yang, Yongfeng, Liu, Xin, Liang, Dong, Zheng, Hairong, Mok, Greta S. P., Wang, Meiyun, Hu, Zhanli

“…Objectives PET/CT is a first-line tool for the diagnosis of lung cancer. The accuracy of quantification may suffer from various factors throughout the…”
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Deep learning-based denoising in projection-domain and reconstruction-domain for low-dose myocardial perfusion SPECT by Sun, Jingzhang, Jiang, Han, Du, Yu, Li, Chien-Ying, Wu, Tung-Hsin, Liu, Yi-Hwa, Yang, Bang-Hung, Mok, Greta S.P.

“…Low-dose (LD) myocardial perfusion (MP) SPECT suffers from high noise level, leading to compromised diagnostic accuracy. Here we investigated the denoising…”
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