Type 2 diabetes mellitus (T2DM) and obesity are growing global pandemics thatshares the common characteristic of insulin resistance (IR). IR leads to progressive β-cell failure, worsening T2DM and its cardiovascular ...Type 2 diabetes mellitus (T2DM) and obesity are growing global pandemics thatshares the common characteristic of insulin resistance (IR). IR leads to progressive β-cell failure, worsening T2DM and its cardiovascular complications. Thus, earlydiagnosis of IR is important to prevent and reverse β-cell dedifferentiation.However, there is a lack of accessible, non-invasive and affordable tools to earlydiagnose and stratify IR. The gold standard method used in the research setting isthe hyperinsulinemic-euglycemic clamp, however it is invasive, laborious,expensive and difficult to apply at a large scale. Hou et al presents a potentialnovel surrogate biomarker for diagnosing IR in T2DM. Magnetic resonanceimaging derived biomarkers can potentially become the accessible and noninvasivealternative to the hyperinsulinemic-euglycemic clamp, enabling thetimely diagnosis of IR with potential clinical applications in T2DM treatments andpreventative care.展开更多
We propose a new experimentally verified ghost imaging(GI) mechanism,derivative GI.Our innovation is that we use the derivatives of the intensities of the test light and the reference light for imaging.Experimental re...We propose a new experimentally verified ghost imaging(GI) mechanism,derivative GI.Our innovation is that we use the derivatives of the intensities of the test light and the reference light for imaging.Experimental results show that by combining derivative GI with the standard GI algorithm,multiple independent signals can be obtained in one measurement.This combination greatly reduces the number of measurements and the time required for data acquisition and imaging.Derivative GI intrinsically does not produce the storage-consuming background term of GI,so it is suitable for on-chip implementation and makes practical application of GI easier.展开更多
Imaging-derived phenotypes(IDPs)have been increasingly used in population-based cohort studies in recent years.As widely reported,magnetic resonance imaging(MRI)is an important imaging modality for assessing the anato...Imaging-derived phenotypes(IDPs)have been increasingly used in population-based cohort studies in recent years.As widely reported,magnetic resonance imaging(MRI)is an important imaging modality for assessing the anatomical structure and function of the brain with high resolution and excellent soft-tissue contrast.The purpose of this article was to describe the imaging protocol of the brain MRI in the China Phenobank Project(CHPP).Each participant underwent a 30-min brain MRI scan as part of a 2-h whole-body imaging protocol in CHPP.The brain imaging sequences included T1-magnetization that prepared rapid gradient echo,T2 fuid-attenuated inversion-recovery,magnetic resonance angiography,difusion MRI,and resting-state functional MRI.The detailed descriptions of image acquisition,interpretation,and post-processing were provided in this article.The measured IDPs included volumes of brain subregions,cerebral vessel geometrical parameters,microstructural tracts,and function connectivity metrics.展开更多
Currently,standard protocols for body imaging and corresponding image processing pipelines in population-based cohort studies are unavailable,limiting the applications of body imaging.Based on the China Phenobank Proj...Currently,standard protocols for body imaging and corresponding image processing pipelines in population-based cohort studies are unavailable,limiting the applications of body imaging.Based on the China Phenobank Project(CHPP),the present study described a body imaging protocol for multiple organs,including cardiac structures,liver,spleen,pancreas,kidneys,lung,prostate,and uterus,and the corresponding image processing pipelines promoted its development.Briefly,the body imaging protocol comprised a 40-min cardiac magnetic resonance imaging(MRI)scan,a 5-min computed tomography(CT)scan,a 20-min abdominal MRI scan,and a 10-min pelvic MRI scan.The recommended image processing pipeline utilized deep learning segmentation models to facilitate the analysis of large amount of data.This study aimed to provide a reference for planning studies based on the CHPP platform.展开更多
Large populations with multi-modal biomedical phenotypes are crucial for investigating the potential causes of human diseases.In particular,large population-based imaging studies can provide detailed imaging-derived p...Large populations with multi-modal biomedical phenotypes are crucial for investigating the potential causes of human diseases.In particular,large population-based imaging studies can provide detailed imaging-derived phenotypes(IDPs)to quantitatively describe the anatomical structure and function for assessing their associations with genetics,life-style factors and disease outcomes.However,it is not a trivial task to initiate a large population-based imaging study,considering the challenges of logistics,cost,standardisation of the image acquisition protocol,robust image analysis pipelines for IDP extraction and quality control etc.Published in Phenomics,Wang et al.describe the brain image acquisition and phenotyping protocol for the China Phenobank Project(CHPP)(Wang et al.2023),an effort to assess and understand the current health status of a Chinese population,as well as to investigate the causes and progression of common diseases in China.展开更多
文摘Type 2 diabetes mellitus (T2DM) and obesity are growing global pandemics thatshares the common characteristic of insulin resistance (IR). IR leads to progressive β-cell failure, worsening T2DM and its cardiovascular complications. Thus, earlydiagnosis of IR is important to prevent and reverse β-cell dedifferentiation.However, there is a lack of accessible, non-invasive and affordable tools to earlydiagnose and stratify IR. The gold standard method used in the research setting isthe hyperinsulinemic-euglycemic clamp, however it is invasive, laborious,expensive and difficult to apply at a large scale. Hou et al presents a potentialnovel surrogate biomarker for diagnosing IR in T2DM. Magnetic resonanceimaging derived biomarkers can potentially become the accessible and noninvasivealternative to the hyperinsulinemic-euglycemic clamp, enabling thetimely diagnosis of IR with potential clinical applications in T2DM treatments andpreventative care.
基金supported by the National Natural Science Foundation of China (No. 51727805)the support from the National Natural Science Foundation of China (No. 12104251)
文摘We propose a new experimentally verified ghost imaging(GI) mechanism,derivative GI.Our innovation is that we use the derivatives of the intensities of the test light and the reference light for imaging.Experimental results show that by combining derivative GI with the standard GI algorithm,multiple independent signals can be obtained in one measurement.This combination greatly reduces the number of measurements and the time required for data acquisition and imaging.Derivative GI intrinsically does not produce the storage-consuming background term of GI,so it is suitable for on-chip implementation and makes practical application of GI easier.
基金the Shanghai Municipal Science and Technology Major Project(No.2017SHZDZX01).
文摘Imaging-derived phenotypes(IDPs)have been increasingly used in population-based cohort studies in recent years.As widely reported,magnetic resonance imaging(MRI)is an important imaging modality for assessing the anatomical structure and function of the brain with high resolution and excellent soft-tissue contrast.The purpose of this article was to describe the imaging protocol of the brain MRI in the China Phenobank Project(CHPP).Each participant underwent a 30-min brain MRI scan as part of a 2-h whole-body imaging protocol in CHPP.The brain imaging sequences included T1-magnetization that prepared rapid gradient echo,T2 fuid-attenuated inversion-recovery,magnetic resonance angiography,difusion MRI,and resting-state functional MRI.The detailed descriptions of image acquisition,interpretation,and post-processing were provided in this article.The measured IDPs included volumes of brain subregions,cerebral vessel geometrical parameters,microstructural tracts,and function connectivity metrics.
基金funded by the Shanghai Municipal Science and Technology Major Project(No.2017SHZDZX01).
文摘Currently,standard protocols for body imaging and corresponding image processing pipelines in population-based cohort studies are unavailable,limiting the applications of body imaging.Based on the China Phenobank Project(CHPP),the present study described a body imaging protocol for multiple organs,including cardiac structures,liver,spleen,pancreas,kidneys,lung,prostate,and uterus,and the corresponding image processing pipelines promoted its development.Briefly,the body imaging protocol comprised a 40-min cardiac magnetic resonance imaging(MRI)scan,a 5-min computed tomography(CT)scan,a 20-min abdominal MRI scan,and a 10-min pelvic MRI scan.The recommended image processing pipeline utilized deep learning segmentation models to facilitate the analysis of large amount of data.This study aimed to provide a reference for planning studies based on the CHPP platform.
文摘Large populations with multi-modal biomedical phenotypes are crucial for investigating the potential causes of human diseases.In particular,large population-based imaging studies can provide detailed imaging-derived phenotypes(IDPs)to quantitatively describe the anatomical structure and function for assessing their associations with genetics,life-style factors and disease outcomes.However,it is not a trivial task to initiate a large population-based imaging study,considering the challenges of logistics,cost,standardisation of the image acquisition protocol,robust image analysis pipelines for IDP extraction and quality control etc.Published in Phenomics,Wang et al.describe the brain image acquisition and phenotyping protocol for the China Phenobank Project(CHPP)(Wang et al.2023),an effort to assess and understand the current health status of a Chinese population,as well as to investigate the causes and progression of common diseases in China.
