Video snapshot compressive imaging(Video SCI) modulates scenes using various encoding masks and captures compressed measurements with a low-speed camera during a single exposure. Subsequently, reconstruction algorithm...Video snapshot compressive imaging(Video SCI) modulates scenes using various encoding masks and captures compressed measurements with a low-speed camera during a single exposure. Subsequently, reconstruction algorithms restore image sequences of dynamic scenes, offering advantages such as reduced bandwidth and storage space requirements. The temporal correlation in video data is crucial for Video SCI, as it leverages the temporal relationships among frames to enhance the efficiency and quality of reconstruction algorithms, particularly for fast-moving objects.This paper discretizes video frames to create image datasets with the same data volume but differing temporal correlations. We utilized the state-of-the-art(SOTA) reconstruction framework, EfficientSCI++, to train various compressed reconstruction models with these differing temporal correlations. Evaluating the reconstruction results from these models, our simulation experiments confirm that a reduction in temporal correlation leads to decreased reconstruction accuracy. Additionally, we simulated the reconstruction outcomes of datasets devoid of temporal correlation, illustrating that models trained on non-temporal data affect the temporal feature extraction capabilities of transformers, resulting in negligible impacts on the evaluation of reconstruction results for non-temporal correlation test datasets.展开更多
Camouflaged people are extremely expert in actively concealing themselves by effectively utilizing cover and the surrounding environment. Despite advancements in optical detection capabilities through imaging systems,...Camouflaged people are extremely expert in actively concealing themselves by effectively utilizing cover and the surrounding environment. Despite advancements in optical detection capabilities through imaging systems, including spectral, polarization, and infrared technologies, there is still a lack of effective real-time method for accurately detecting small-size and high-efficient camouflaged people in complex real-world scenes. Here, this study proposes a snapshot multispectral image-based camouflaged detection model, multispectral YOLO(MS-YOLO), which utilizes the SPD-Conv and Sim AM modules to effectively represent targets and suppress background interference by exploiting the spatial-spectral target information. Besides, the study constructs the first real-shot multispectral camouflaged people dataset(MSCPD), which encompasses diverse scenes, target scales, and attitudes. To minimize information redundancy, MS-YOLO selects an optimal subset of 12 bands with strong feature representation and minimal inter-band correlation as input. Through experiments on the MSCPD, MS-YOLO achieves a mean Average Precision of 94.31% and real-time detection at 65 frames per second, which confirms the effectiveness and efficiency of our method in detecting camouflaged people in various typical desert and forest scenes. Our approach offers valuable support to improve the perception capabilities of unmanned aerial vehicles in detecting enemy forces and rescuing personnel in battlefield.展开更多
目的探讨智能冠状动脉运动追踪平台Snapshot Freeze（SSF）在冠状动脉CT血管成像（CCTA）中的应用价值。方法连续选取61例患者,使用Discovery CT750 HD Freedom进行冠状动脉扫描,扫描后分别使用和不使用SSF重建,得到A、B两组图像;根据...目的探讨智能冠状动脉运动追踪平台Snapshot Freeze（SSF）在冠状动脉CT血管成像（CCTA）中的应用价值。方法连续选取61例患者,使用Discovery CT750 HD Freedom进行冠状动脉扫描,扫描后分别使用和不使用SSF重建,得到A、B两组图像;根据扫描实时心率将患者分为低心率组（心率≤70次/分,n=34）,中高心率组（心率71～80次/分,n=14）和高心率组（心率〉80次/分,n=13）。对比分析A、B组间和不同心率组间的图像质量差异。结果除左主干（S5）外,B组冠状动脉各节段图像质量评分均优于A组（P均〈0.05）;S5段剔除评分为5分者后,其余7例B组图像质量均优于A组（P=0.008）;未使用SSF重建时不可诊断的42个节段经用SSF重建后全部可用于诊断。未使用SSF重建的不同心率组间除S7、S9段外,其余各节段图像质量评分差异均有统计学意义（P均〈0.05）,图像质量随心率增加而下降;使用SSF重建后,不同心率组间各节段图像质量评分差异均无统计学意义（P均〉0.05）。未使用SSF重建的右冠状动脉中段（S2）在15段中评分最低（2.88±0.91）分,S3次之（3.65±1.32）分,且S2在低心率组亦有17例出现移动伪影影响其评估;使用SSF重建后,S2、S3移动伪影显著改善,评分分别提升至（4.32±0.59）分和（4.49±0.59）分,均满足诊断需求。结论 SSF能够有效地纠正高心率及心率波动导致的冠状动脉血管移动伪影,优化CCTA图像质量,尤其对右冠状动脉移动伪影有显著意义。展开更多
目的建立一种先天性肾上腺皮质增生症21-羟化酶缺陷的快速基因检测方法。方法选择中国人群21-羟化酶缺乏症相关基因CYP21A2的突变热点Exon3 Del 8bp、Q318X、R356W、IVS2 A/C>G、I172N、P30L和V281L共7个位点进行巢式PCR。设计上述...目的建立一种先天性肾上腺皮质增生症21-羟化酶缺陷的快速基因检测方法。方法选择中国人群21-羟化酶缺乏症相关基因CYP21A2的突变热点Exon3 Del 8bp、Q318X、R356W、IVS2 A/C>G、I172N、P30L和V281L共7个位点进行巢式PCR。设计上述突变热点的单链延伸引物进行扩增,采用SNaPshot技术对上述7个突变热点进行一次性基因分型检测。结果建立了一套满足质量控制标准的CYP21A2基因快速检测的方法,5例阳性干血片标本患者SNaPshot技术和测序技术的结果完全吻合,有2例复合突变,3例纯合突变,显示SNaPshot技术高度的特异性和灵敏度。结论采用SNaPshot技术检测CYP21A2基因具有高通量、准确、对样本容受性高的特点,便于临床应用。展开更多
基金supported in part by the National Natural Science Foundation of China (No. U23B2011)。
文摘Video snapshot compressive imaging(Video SCI) modulates scenes using various encoding masks and captures compressed measurements with a low-speed camera during a single exposure. Subsequently, reconstruction algorithms restore image sequences of dynamic scenes, offering advantages such as reduced bandwidth and storage space requirements. The temporal correlation in video data is crucial for Video SCI, as it leverages the temporal relationships among frames to enhance the efficiency and quality of reconstruction algorithms, particularly for fast-moving objects.This paper discretizes video frames to create image datasets with the same data volume but differing temporal correlations. We utilized the state-of-the-art(SOTA) reconstruction framework, EfficientSCI++, to train various compressed reconstruction models with these differing temporal correlations. Evaluating the reconstruction results from these models, our simulation experiments confirm that a reduction in temporal correlation leads to decreased reconstruction accuracy. Additionally, we simulated the reconstruction outcomes of datasets devoid of temporal correlation, illustrating that models trained on non-temporal data affect the temporal feature extraction capabilities of transformers, resulting in negligible impacts on the evaluation of reconstruction results for non-temporal correlation test datasets.
基金support by the National Natural Science Foundation of China (Grant No. 62005049)Natural Science Foundation of Fujian Province (Grant Nos. 2020J01451, 2022J05113)Education and Scientific Research Program for Young and Middleaged Teachers in Fujian Province (Grant No. JAT210035)。
文摘Camouflaged people are extremely expert in actively concealing themselves by effectively utilizing cover and the surrounding environment. Despite advancements in optical detection capabilities through imaging systems, including spectral, polarization, and infrared technologies, there is still a lack of effective real-time method for accurately detecting small-size and high-efficient camouflaged people in complex real-world scenes. Here, this study proposes a snapshot multispectral image-based camouflaged detection model, multispectral YOLO(MS-YOLO), which utilizes the SPD-Conv and Sim AM modules to effectively represent targets and suppress background interference by exploiting the spatial-spectral target information. Besides, the study constructs the first real-shot multispectral camouflaged people dataset(MSCPD), which encompasses diverse scenes, target scales, and attitudes. To minimize information redundancy, MS-YOLO selects an optimal subset of 12 bands with strong feature representation and minimal inter-band correlation as input. Through experiments on the MSCPD, MS-YOLO achieves a mean Average Precision of 94.31% and real-time detection at 65 frames per second, which confirms the effectiveness and efficiency of our method in detecting camouflaged people in various typical desert and forest scenes. Our approach offers valuable support to improve the perception capabilities of unmanned aerial vehicles in detecting enemy forces and rescuing personnel in battlefield.
文摘目的:探讨运用SnapShot Assist软件不同方案和参数优化下,对冠状动脉CT血管成像(Coronary Computed Tomographic Angiography,CCTA)的图像质量和辐射剂量的影响。方法:98例患者采用SnapShot Assist进行自动分组行CCTA:A组(n=41,e BMI<23)80 k Vp/700 m A成像,B组(n=38,23≤e BMI<28)100 k Vp/650 m A成像和C组(n=19,e BMI≥28)120 k Vp/650 m A成像。每一组又分为前瞻性门控轴向扫描模式(心率≤65次/分钟)和回顾性门控螺旋扫描模式(心率>65次/分钟)两个亚组。30例未采用SnapShot Assist软件的常规回顾性心电门控螺旋扫描模式CCTA患者为对照组。分析比较各组图像质量主观评分、对比噪声比(Contrast-to-Noise Ratio,CNR)、信噪比(Signal-to-Noise Ratio,SNR)和胸壁皮下脂肪的密度标准差(Standard Deviation,SD)、CT容积剂量指数(volume CT Dose Index,CTDIvol)和有效辐射剂量(Effective Dose,ED)。结果:(1)A、B和C组内前瞻性心电门控扫描模式图像质量主观评分均值高于回顾性心电门控扫描模式,但差异无统计学意义(P>0.05)。实验组图像质量评分与对照组无明显差异(P>0.05)。(2)与对照组相比,A、B和C组CTDIvol、ED均显著降低(P<0.05),其中辐射剂量平均下降63%。A、B和C组中,前瞻性心电门控轴向扫描均比回顾性心电门控螺旋扫描的CTDIvol、ED明显降低(P<0.05)。结论:SnapShot Assist对患者进行个性化方案选择下的CCTA,在不降低图像质量的同时有效减少了辐射剂量。
文摘目的建立一种先天性肾上腺皮质增生症21-羟化酶缺陷的快速基因检测方法。方法选择中国人群21-羟化酶缺乏症相关基因CYP21A2的突变热点Exon3 Del 8bp、Q318X、R356W、IVS2 A/C>G、I172N、P30L和V281L共7个位点进行巢式PCR。设计上述突变热点的单链延伸引物进行扩增,采用SNaPshot技术对上述7个突变热点进行一次性基因分型检测。结果建立了一套满足质量控制标准的CYP21A2基因快速检测的方法,5例阳性干血片标本患者SNaPshot技术和测序技术的结果完全吻合,有2例复合突变,3例纯合突变,显示SNaPshot技术高度的特异性和灵敏度。结论采用SNaPshot技术检测CYP21A2基因具有高通量、准确、对样本容受性高的特点,便于临床应用。
