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Article
Open AccessFocused liquid ultrasonography in dropsy protocol for quantitative assessment of subcutaneous edema
Although subcutaneous edema is a common symptom of critically ill patients, it is still underreported due to the lack of a systematic method for evaluating it. The present study aims to describe the occurrence...
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Article
Open AccessChanges in muscle ultrasound for the diagnosis of intensive care unit acquired weakness in critically ill patients
To test diagnostic accuracy of changes in thickness (TH) and cross-sectional area (CSA) of muscle ultrasound for diagnosis of intensive care unit acquired weakness (ICU-AW). Fully conscious patients were subje...
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Article
Open AccessMindfulness-based online intervention on mental health and quality of life among COVID-19 patients in China: an intervention design
COVID-19 can lead to increased psychological symptoms such as post-traumatic stress disorder (PTSD), depression, and anxiety among patients with COVID-19. Based on the previous mindfulness-based interventions ...
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Chapter and Conference Paper
Medical Image Synthesis with Context-Aware Generative Adversarial Networks
Computed tomography (CT) is critical for various clinical applications, e.g., radiation treatment planning and also PET attenuation correction in MRI/PET scanner. However, CT exposes radiation during acquisiti...
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Chapter and Conference Paper
Classification of Prostate Cancer Grades and T-Stages Based on Tissue Elasticity Using Medical Image Analysis
In this paper, we study the correlation of tissue (i.e. prostate) elasticity with the spread and aggression of prostate cancers. We describe an improved, in-vivo method that estimates the individualized, relat...
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Article
Open AccessA 3D approach to reconstruct continuous optical images using lidar and MODIS
Monitoring forest health and biomass for changes over time in the global environment requires the provision of continuous satellite images. However, optical images of land surfaces are generally contaminated w...
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Chapter and Conference Paper
Joint Learning of Image Regressor and Classifier for Deformable Segmentation of CT Pelvic Organs
The segmentation of pelvic organs from CT images is an essential step for prostate radiation therapy. However, due to low tissue contrast and large anatomical variations, it is still challenging to accurately ...
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Chapter and Conference Paper
Non-local Means Resolution Enhancement of Lung 4D-CT Data
Image resolution in 4D-CT is a crucial bottleneck that needs to be overcome for improved dose planning in radiotherapy for lung cancer. In this paper, we propose a novel patch-based algorithm to enhance the im...
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Chapter and Conference Paper
Estimating the 4D Respiratory Lung Motion by Spatiotemporal Registration and Building Super-Resolution Image
The estimation of lung motion in 4D-CT with respect to the respiratory phase becomes more and more important for radiation therapy of lung cancer. Modern CT scanner can only scan a limited region of body at ea...
