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学者姓名：吴水才
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Abstract ：
Lung tumor is the first malignant tumor with the highest mortality, but only no more than one-third of patients can be treated by surgical resection. Microwave ablation (MWA) has become a new adjuvant therapeutic mean for lung tumors because of its low trauma, short treatment time, large ablation volume and wide application range. However, the treatment parameters of MWA, such as input power and ablation time, still depend on the doctors' experience, which leads to the ineffectiveness of MWA. Therefore, the accurate modeling of temperature distribution of lung tumor MWA has become a significant technical problem to be solved. Recent research was devoted to personalized characterization of lung tumor parameters, finite element analysis of temperature distribution in MWA and accurate ablation effect evaluation. In this paper, a review of the recently obtained results and data will be presented and discussed.
Keyword ：
microwave ablation microwave ablation Lung tumor Lung tumor simulation modeling simulation modeling temperature distribution temperature distribution
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| GB/T 7714 | Liu, Ju , Gao, Hongjian , Wang, Jinying et al. Recent research advances on simulation modeling of temperature distribution in microwave ablation of lung tumors [J]. | COMPUTER ASSISTED SURGERY , 2023 , 28 (1) . |
| MLA | Liu, Ju et al. "Recent research advances on simulation modeling of temperature distribution in microwave ablation of lung tumors" . | COMPUTER ASSISTED SURGERY 28 . 1 (2023) . |
| APA | Liu, Ju , Gao, Hongjian , Wang, Jinying , He, Yuezheng , Lu, Xinyi , Cheng, Zhigang et al. Recent research advances on simulation modeling of temperature distribution in microwave ablation of lung tumors . | COMPUTER ASSISTED SURGERY , 2023 , 28 (1) . |
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Abstract ：
The segmentation of cardiac chambers and the quantification of clinical functional metrics in dynamic echo-cardiography are the keys to the clinical diagnosis of heart disease. Identifying the end-diastolic frames (EDFs) and end-systolic frames (ESFs) and manually segmenting the left ventricle in the echocardiographic cardiac cycle before obtaining the left ventricular ejection fraction (LVEF) is a time-consuming and tedious task for clinicians. In this work, we proposed a deep learning-based fully automated echocardiographic analysis method. We pro-posed a multi-attention efficient feature fusion network (MAEF-Net) to automatically segment the left ventricle. Then, EDFs and ESFs in all cardiac cycles were automatically detected to compute LVEF. The MAEF-Net method used a multi-attention mechanism to guide the network to capture heartbeat features effectively, while sup-pressing noise, and incorporated deep supervision mechanism and spatial pyramid feature fusion to enhance feature extraction capabilities. The proposed method was validated on the public EchoNet-Dynamic dataset (n = 1226). The Dice similarity coefficient (DSC) of the left ventricular segmentation reached (93.10 +/- 2.22)%, and the mean absolute error (MAE) of cardiac phase detection was (2.36 +/- 2.23) frames. The MAE for predicting LVEF was 6.29 %. The proposed method was also validated on a private clinical dataset (n = 22). The DSC of the left ventricular segmentation reached (92.81 +/- 2.85)%, and the MAE of cardiac phase detection was (2.25 +/- 2.27) frames. The MAE for predicting LVEF was 5.91 %, and the Pearson correlation coefficient r reached 0.96. The proposed method may be used as a new method for automatic left ventricular segmentation and quantitative analysis in two-dimensional echocardiography. Our code and trained models will be made available publicly at https://github.com/xiaojinmao-code/MAEF-Net.
Keyword ：
Ejection fraction Ejection fraction Left ventricular segmentation Left ventricular segmentation Cardiac phase detection Cardiac phase detection Deep learning Deep learning Echocardiography Echocardiography
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| GB/T 7714 | Zeng, Yan , Tsui, Po-Hsiang , Pang, Kunjing et al. MAEF-Net: Multi-attention efficient feature fusion network for left ventricular segmentation and quantitative analysis in two-dimensional echocardiography [J]. | ULTRASONICS , 2023 , 127 . |
| MLA | Zeng, Yan et al. "MAEF-Net: Multi-attention efficient feature fusion network for left ventricular segmentation and quantitative analysis in two-dimensional echocardiography" . | ULTRASONICS 127 (2023) . |
| APA | Zeng, Yan , Tsui, Po-Hsiang , Pang, Kunjing , Bin, Guangyu , Li, Jiehui , Lv, Ke et al. MAEF-Net: Multi-attention efficient feature fusion network for left ventricular segmentation and quantitative analysis in two-dimensional echocardiography . | ULTRASONICS , 2023 , 127 . |
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Abstract ：
The homodyned-K (HK) distribution is a generalized model of envelope statistics whose parameters alpha (the clustering parameter) and k (the coherent-to-diffuse signal ratio) can be used to monitor the thermal lesions. In this study, we proposed an ultrasound HK contrast-weighted summation (CWS) parametric imaging algorithm based on the H-scan technique and investigated the optimal window side length (WSL) of the HK parameters estimated by the XU estimator (an estimation method based on the first moment of the intensity and two log-moments, which was used in the proposed algorithm) through phantom simulations. H-scan diversified ultrasonic backscattered signals into low- and high-frequency passbands. After envelope detection and HK parameter estimation for each frequency band, the alpha and k parametric maps were obtained, respectively. According to the contrast between the target region and background, the (alpha or k) parametric maps of the dual-frequency band were weighted and summed, and then the CWS images were yielded by pseudo-color imaging. The proposed HK CWS parametric imaging algorithm was used to detect the microwave ablation coagulation zones of porcine liver ex vivo under different powers and treatment durations. The performance of the proposed algorithm was compared with that of the conventional HK parametric imaging and frequency diversity and compounding Nakagami imaging algorithms. For two-dimensional HK parametric imaging, it was found that a WSL equal to 4 pulse lengths of the transducer was sufficient for estimating the alpha and k parameters in terms of both parameter estimation stability and parametric imaging resolution. The HK CWS parametric imaging provided an improved contrast-to-noise ratio over conventional HK parametric imaging, and the HK alpha(cws) parametric imaging achieved the best accuracy and Dice score of coagulation zone detection.
Keyword ：
contrast-weighted summation contrast-weighted summation homodyned-K imaging homodyned-K imaging microwave ablation microwave ablation quantitative ultrasound quantitative ultrasound H-scan H-scan
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| GB/T 7714 | Li, Sinan , Zhou, Zhuhuang , Wu, Shuicai et al. Ultrasound Homodyned-K Contrast-Weighted Summation Parametric Imaging Based on H-scan for Detecting Microwave Ablation Zones [J]. | ULTRASONIC IMAGING , 2023 , 45 (3) : 119-135 . |
| MLA | Li, Sinan et al. "Ultrasound Homodyned-K Contrast-Weighted Summation Parametric Imaging Based on H-scan for Detecting Microwave Ablation Zones" . | ULTRASONIC IMAGING 45 . 3 (2023) : 119-135 . |
| APA | Li, Sinan , Zhou, Zhuhuang , Wu, Shuicai , Wu, Weiwei . Ultrasound Homodyned-K Contrast-Weighted Summation Parametric Imaging Based on H-scan for Detecting Microwave Ablation Zones . | ULTRASONIC IMAGING , 2023 , 45 (3) , 119-135 . |
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Abstract ：
In this paper, we present the kernel density estimation (KDE)-based parallelized ultrasound entropy imaging and apply it for hepatic steatosis characterization. A KDE technique was used to estimate the probability density function (PDF) of ultrasound backscattered signals. The estimated PDF was utilized to estimate the Shannon entropy to construct parametric images. In addition, the parallel computation technique was incorporated. Clinical experiments of hepatic steatosis were conducted to validate the feasibility of the proposed method. Seventy-two participants and 204 patients with different grades of hepatic steatosis were included. The experimental results show that the KDE-based entropy parameter correlates with log(10) (hepatic fat fractions) measured by magnetic resonance spectroscopy in the 72 participants (Pearson's r = 0.52, p < 0.0001), and its areas under the receiver operating characteristic curves for diagnosing hepatic steatosis grades >= mild, >= moderate, and >= severe are 0.65, 0.73, and 0.80, respectively, for the 204 patients. The proposed method overcomes the drawbacks of conventional histogram-based ultrasound entropy imaging, including limited dynamic ranges and histogram settings dependence, although the diagnostic performance is slightly worse than conventional histogram-based entropy imaging. The proposed KDE-based parallelized ultrasound entropy imaging technique may be used as a new ultrasound entropy imaging method for hepatic steatosis characterization.
Keyword ：
ultrasound entropy imaging ultrasound entropy imaging probability density function probability density function quantitative ultrasound quantitative ultrasound ultrasound backscattered signals ultrasound backscattered signals backscatter envelope statistics backscatter envelope statistics kernel density estimation kernel density estimation hepatic steatosis hepatic steatosis ultrasound tissue characterization ultrasound tissue characterization
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| GB/T 7714 | Gao, Ruiyang , Tsui, Po-Hsiang , Wu, Shuicai et al. Ultrasound Entropy Imaging Based on the Kernel Density Estimation: A New Approach to Hepatic Steatosis Characterization [J]. | DIAGNOSTICS , 2023 , 13 (24) . |
| MLA | Gao, Ruiyang et al. "Ultrasound Entropy Imaging Based on the Kernel Density Estimation: A New Approach to Hepatic Steatosis Characterization" . | DIAGNOSTICS 13 . 24 (2023) . |
| APA | Gao, Ruiyang , Tsui, Po-Hsiang , Wu, Shuicai , Tai, Dar-In , Bin, Guangyu , Zhou, Zhuhuang et al. Ultrasound Entropy Imaging Based on the Kernel Density Estimation: A New Approach to Hepatic Steatosis Characterization . | DIAGNOSTICS , 2023 , 13 (24) . |
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Abstract ：
It is rare to use the one-stage model without segmentation for the automatic detection of coronary lesions. This study sequentially enrolled 200 patients with significant stenoses and occlusions of the right coronary and categorized their angiography images into two angle views: The CRA (cranial) view of 98 patients with 2453 images and the LAO (left anterior oblique) view of 176 patients with 3338 images. Randomization was performed at the patient level to the training set and test set using a 7:3 ratio. YOLOv5 was adopted as the key model for direct detection. Four types of lesions were studied: Local Stenosis (LS), Diffuse Stenosis (DS), Bifurcation Stenosis (BS), and Chronic Total Occlusion (CTO). At the image level, the precision, recall, mAP@0.1, and mAP@0.5 predicted by the model were 0.64, 0.68, 0.66, and 0.49 in the CRA view and 0.68, 0.73, 0.70, and 0.56 in the LAO view, respectively. At the patient level, the precision, recall, and F1 scores predicted by the model were 0.52, 0.91, and 0.65 in the CRA view and 0.50, 0.94, and 0.64 in the LAO view, respectively. YOLOv5 performed the best for lesions of CTO and LS at both the image level and the patient level. In conclusion, the one-stage model without segmentation as YOLOv5 is feasible to be used in automatic coronary lesion detection, with the most suitable types of lesions as LS and CTO.
Keyword ：
convolutional neural network convolutional neural network coronary artery stenosis detection coronary artery stenosis detection deep learning deep learning coronary angiography coronary angiography without segmentation without segmentation one-stage detection one-stage detection
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| GB/T 7714 | Wu, Hui , Zhao, Jing , Li, Jiehui et al. One-Stage Detection without Segmentation for Multi-Type Coronary Lesions in Angiography Images Using Deep Learning [J]. | DIAGNOSTICS , 2023 , 13 (18) . |
| MLA | Wu, Hui et al. "One-Stage Detection without Segmentation for Multi-Type Coronary Lesions in Angiography Images Using Deep Learning" . | DIAGNOSTICS 13 . 18 (2023) . |
| APA | Wu, Hui , Zhao, Jing , Li, Jiehui , Zeng, Yan , Wu, Weiwei , Zhou, Zhuhuang et al. One-Stage Detection without Segmentation for Multi-Type Coronary Lesions in Angiography Images Using Deep Learning . | DIAGNOSTICS , 2023 , 13 (18) . |
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Abstract ：
Single-antenna microwave ablation (MWA) is mainly used to treat small tumors less than 3 cm in diameter. To obtain a larger coagulation zone in a single ablation, a dual-antenna ablation approach was proposed. A three-dimensional finite element method (FEM) simulation model of parallel dual-antennas was developed. Ex vivo experiments at 50 W for 8 min were performed to verify the model. Both the temperature changes in tissue and the size of the coagulation zone were recorded. The effects of dual-antenna spacing, heating power, and blood perfusion on the coagulation zone were analyzed. Fifteen experiments were carried out. The errors between the mean measurements and simulated results at the set temperature points were 1.08 degrees C, 0.95 degrees C, and 2.1 degrees C, respectively. For the same conditions, the blood perfusion of 1.0, 1.5, and 3.0 kg/(m(3)center dot s) can result in a reduction in the coagulation volume by 18.4%, 25.4%, and 42.5%. As the spacing increased, the coagulation zone of each antenna started to fuse together later and the resulting integral coagulation zone became larger. Dual-antenna MWA is expected to be used for the treatment of tumors larger than 5 cm in diameter.
Keyword ：
temperature distribution temperature distribution tumor ablation tumor ablation finite element method simulation finite element method simulation blood perfusion blood perfusion dual-antenna array dual-antenna array
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| GB/T 7714 | Wang, Jinying , Huang, Shengyang , Gao, Hongjian et al. Computer Simulations of Dual-Antenna Microwave Ablation and Comparison to Experimental Measurements [J]. | APPLIED SCIENCES-BASEL , 2023 , 13 (1) . |
| MLA | Wang, Jinying et al. "Computer Simulations of Dual-Antenna Microwave Ablation and Comparison to Experimental Measurements" . | APPLIED SCIENCES-BASEL 13 . 1 (2023) . |
| APA | Wang, Jinying , Huang, Shengyang , Gao, Hongjian , Liu, Ju , Zhang, Yubo , Wu, Shuicai . Computer Simulations of Dual-Antenna Microwave Ablation and Comparison to Experimental Measurements . | APPLIED SCIENCES-BASEL , 2023 , 13 (1) . |
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Abstract ：
Age-related cognitive decline is a global phenomenon that affects individuals worldwide. The course and extent of this decline are influenced by numerous factors, such as genetics, lifestyle, education, and cognitive engagement. The theory of brain and cognitive reserve/maintenance posits that these factors have a significant impact on the degree of cognitive decline and overall brain health. However, the absence of standardized definitions and measurements for these terms creates ambiguity in research. To address this issue, we utilized a robust and systematic experimental paradigm, employing a considerably large subject pool comprising 17,030 participants from the UK Biobank. Utilizing advanced machine learning methodologies, we were able to accurately quantify both brain maintenance (BM) and cognitive maintenance (CM), making use of six distinct MRI modalities and nine distinct cognitive capabilities. Our study successfully identified several significant features that were meaningfully associated with both BM and CM outcomes. The results of our study demonstrate that lifestyle factors play a significant role in influencing both BM and CM through unique and independent mechanisms. Specifically, our study found that health status is a critical determinant of BM, while diabetes was found to be moderately associated with CM. Furthermore, our study revealed a positive correlation between BM/CM and cognitive reserve. By carefully considering the unique and independent mechanisms that govern both BM and CM, as well as their correlation with cognitive reserve, our study has provided valuable insight into the various strategies that may be leveraged to promote sustainable interventions to enhance cognitive and brain health across the lifespan.
Keyword ：
cognitive aging cognitive aging brain maintenance brain maintenance cognitive maintenance cognitive maintenance cognitive reserve cognitive reserve MRI MRI
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| GB/T 7714 | Lin, Lan , Xiong, Min , Jin, Yue et al. Quantifying Brain and Cognitive Maintenance as Key Indicators for Sustainable Cognitive Aging: Insights from the UK Biobank [J]. | SUSTAINABILITY , 2023 , 15 (12) . |
| MLA | Lin, Lan et al. "Quantifying Brain and Cognitive Maintenance as Key Indicators for Sustainable Cognitive Aging: Insights from the UK Biobank" . | SUSTAINABILITY 15 . 12 (2023) . |
| APA | Lin, Lan , Xiong, Min , Jin, Yue , Kang, Wenjie , Wu, Shuicai , Sun, Shen et al. Quantifying Brain and Cognitive Maintenance as Key Indicators for Sustainable Cognitive Aging: Insights from the UK Biobank . | SUSTAINABILITY , 2023 , 15 (12) . |
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Abstract ：
In the realm of cognitive science, the phenomenon of "successful cognitive aging" stands as a hallmark of individuals who exhibit cognitive abilities surpassing those of their age-matched counterparts. However, it is paramount to underscore a significant gap in the current research, which is marked by a paucity of comprehensive inquiries that deploy substantial sample sizes to methodically investigate the cerebral biomarkers and contributory elements underpinning this cognitive success. It is within this context that our present study emerges, harnessing data derived from the UK Biobank. In this study, a highly selective cohort of 1060 individuals aged 65 and above was meticulously curated from a larger pool of 17,072 subjects. The selection process was guided by their striking cognitive resilience, ascertained via rigorous evaluation encompassing both generic and specific cognitive assessments, compared to their peers within the same age stratum. Notably, the cognitive abilities of the chosen participants closely aligned with the cognitive acumen commonly observed in middle-aged individuals. Our study leveraged a comprehensive array of neuroimaging-derived metrics, obtained from three Tesla MRI scans (T1-weighted images, dMRI, and resting-state fMRI). The metrics included image-derived phenotypes (IDPs) that addressed grey matter morphology, the strength of brain network connectivity, and the microstructural attributes of white matter. Statistical analyses were performed employing ANOVA, Mann-Whitney U tests, and chi-square tests to evaluate the distinctive aspects of IDPs pertinent to the domain of successful cognitive aging. Furthermore, these analyses aimed to elucidate lifestyle practices that potentially underpin the maintenance of cognitive acumen throughout the aging process. Our findings unveiled a robust and compelling association between heightened cognitive aptitude and the integrity of white matter structures within the brain. Furthermore, individuals who exhibited successful cognitive aging demonstrated markedly enhanced activity in the cerebral regions responsible for auditory perception, voluntary motor control, memory retention, and emotional regulation. These advantageous cognitive attributes were mirrored in the health-related lifestyle choices of the surveyed cohort, characterized by elevated educational attainment, a lower incidence of smoking, and a penchant for moderate alcohol consumption. Moreover, they displayed superior grip strength and enhanced walking speeds. Collectively, these findings furnish valuable insights into the multifaceted determinants of successful cognitive aging, encompassing both neurobiological constituents and lifestyle practices. Such comprehensive comprehension significantly contributes to the broader discourse on aging, thereby establishing a solid foundation for the formulation of targeted interventions aimed at fostering cognitive well-being among aging populations.
Keyword ：
multiparametric imaging multiparametric imaging cognitive resilience cognitive resilience MRI MRI cognitive aging cognitive aging neuroimaging neuroimaging
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| GB/T 7714 | Xu, Xinze , Lin, Lan , Wu, Shuicai et al. Exploring Successful Cognitive Aging: Insights Regarding Brain Structure, Function, and Demographics [J]. | BRAIN SCIENCES , 2023 , 13 (12) . |
| MLA | Xu, Xinze et al. "Exploring Successful Cognitive Aging: Insights Regarding Brain Structure, Function, and Demographics" . | BRAIN SCIENCES 13 . 12 (2023) . |
| APA | Xu, Xinze , Lin, Lan , Wu, Shuicai , Sun, Shen . Exploring Successful Cognitive Aging: Insights Regarding Brain Structure, Function, and Demographics . | BRAIN SCIENCES , 2023 , 13 (12) . |
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Abstract ：
The homodyned-K distribution is an important ultrasound backscatter envelope statistics model of physical meaning, and the parametric imaging of the model parameters has been explored for quantitative ultrasound tissue characterization. In this paper, we proposed a new method for liver fibrosis characterization by using radiomics of ultrasound backscatter homodyned-K imaging based on an improved artificial neural network (iANN) estimator. The iANN estimator was used to estimate the ultrasound homodyned-K distribution parameters k and alpha from the backscattered radiofrequency (RF) signals of clinical liver fibrosis (n = 237), collected with a 3-MHz convex array transducer. The RF data were divided into two groups: Group I corresponded to liver fibrosis with no hepatic steatosis (n = 94), and Group II corresponded to liver fibrosis with mild to severe hepatic steatosis (n = 143). The estimated homodyned-K parameter values were then used to construct k and alpha parametric images using the sliding window technique. Radiomics features of k and alpha parametric images were extracted, and feature selection was conducted. Logistic regression classification models based on the selected radiomics features were built for staging liver fibrosis. Experimental results showed that the proposed method is overall superior to the radiomics method of uncompressed envelope images when assessing liver fibrosis. Regardless of hepatic steatosis, the proposed method achieved the best performance in staging liver fibrosis >= F1, >= F4, and the area under the receiver operating characteristic curve was 0.88, 0.85 (Group I), and 0.85, 0.86 (Group II), respectively. Radiomics has improved the ability of ultrasound backscatter statistical parametric imaging to assess liver fibrosis, and is expected to become a new quantitative ultrasound method for liver fibrosis characterization.
Keyword ：
quantitative ultrasound quantitative ultrasound backscatter envelope statistics backscatter envelope statistics liver fibrosis liver fibrosis radiomics radiomics homodyned-K distribution homodyned-K distribution
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| GB/T 7714 | Zhou, Zhuhuang , Zhang, Zijing , Gao, Anna et al. Liver Fibrosis Assessment Using Radiomics of Ultrasound Homodyned-K imaging Based on the Artificial Neural Network Estimator [J]. | ULTRASONIC IMAGING , 2022 , 44 (5-6) : 229-241 . |
| MLA | Zhou, Zhuhuang et al. "Liver Fibrosis Assessment Using Radiomics of Ultrasound Homodyned-K imaging Based on the Artificial Neural Network Estimator" . | ULTRASONIC IMAGING 44 . 5-6 (2022) : 229-241 . |
| APA | Zhou, Zhuhuang , Zhang, Zijing , Gao, Anna , Tai, Dar-In , Wu, Shuicai , Tsui, Po-Hsiang . Liver Fibrosis Assessment Using Radiomics of Ultrasound Homodyned-K imaging Based on the Artificial Neural Network Estimator . | ULTRASONIC IMAGING , 2022 , 44 (5-6) , 229-241 . |
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Abstract ：
Percutaneous thermal therapy is an important clinical treatment method for some solid tumors. It is critical to use effective image visualization techniques to monitor the therapy process in real time because precise control of the therapeutic zone directly affects the prognosis of tumor treatment. Ultrasound is used in thermal therapy monitoring because of its real-time, non-invasive, non-ionizing radiation, and low-cost characteristics. This paper presents a review of nine quantitative ultrasound-based methods for thermal therapy monitoring and their advances over the last decade since 2011. These methods were analyzed and compared with respect to two applications: ultrasonic thermometry and ablation zone identification. The advantages and limitations of these methods were compared and discussed, and future developments were suggested.
Keyword ：
thermometry thermometry quantitative ultrasound quantitative ultrasound thermal therapy thermal therapy ablation zone ablation zone
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| GB/T 7714 | Li, Sinan , Zhou, Zhuhuang , Wu, Shuicai et al. A Review of Quantitative Ultrasound-Based Approaches to Thermometry and Ablation Zone Identification Over the Past Decade [J]. | ULTRASONIC IMAGING , 2022 , 44 (5-6) : 213-228 . |
| MLA | Li, Sinan et al. "A Review of Quantitative Ultrasound-Based Approaches to Thermometry and Ablation Zone Identification Over the Past Decade" . | ULTRASONIC IMAGING 44 . 5-6 (2022) : 213-228 . |
| APA | Li, Sinan , Zhou, Zhuhuang , Wu, Shuicai , Wu, Weiwei . A Review of Quantitative Ultrasound-Based Approaches to Thermometry and Ablation Zone Identification Over the Past Decade . | ULTRASONIC IMAGING , 2022 , 44 (5-6) , 213-228 . |
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