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Multislice computed tomography angiography in the diagnosis of cardiovascular disease: 3D visualizations

Zhonghua Sun

Frontiers of Medicine 2011, Volume 5, Issue 3,   Pages 254-270 doi: 10.1007/s11684-011-0153-7

Abstract: Multislice computed tomography (CT) has been widely used in clinical practice for the diagnosis of cardiovascular

Keywords: cardiovascular disease     multislice computed tomography     three-dimensional reconstruction     diagnosis     visualization    

properties of municipal solid waste incineration residues with cement and coal fly ash using X-ray ComputedTomography scanners

Toshifumi MUKUNOKI, Ta Thi HOAI, Daisuke FUKUSHIMA, Teppei KOMIYA, Takayuki SHIMAOKA

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 3,   Pages 640-652 doi: 10.1007/s11709-018-0502-6

Abstract: Couple of industrial and micro-focus X-ray computed tomography (CT) scanners combined with an image analysisThree-dimension computed tomography images observation and analysis confirmed that solidified incineration

Keywords: municipal solid waste incineration residues     coal fly ash     unconfined compression test     image analysis     X-Ray ComputedTomography scanners    

Simultaneous acquisition of CT angiography and whole brain CT perfusion images by using multiphase dynamic helical scan on 16 MDCT

Weiwei CHEN, Jianpin QI, Wenzhen ZHU, Wenhua HUANG, Jinmei SONG

Frontiers of Medicine 2009, Volume 3, Issue 2,   Pages 230-235 doi: 10.1007/s11684-009-0023-8

Abstract: We implemented a new protocol — multiphase dynamic helical scan to acquire CT angiography (CTA) and whole brain CT perfusion (CTP) images simultaneously with single scan on 16 multidetector CT (MDCT). A total of 90 patients who were randomly assigned into 3 groups were included in our study. Each group underwent CT scan by using the new protocol, traditional CTA and CTP protocol, respectively. The image quality of CTA, the CTP parameter values and the X-ray doses were measured and compared between the new protocol and the traditional protocols. There was no statistically significant difference in the CTA image quality between the above methods ( =0.55). For CTP parameters, the new protocol tended to overestimate the blood volume (BV) and blood flow (BF) value, and to underestimate the mean transit time (MTT) value compared with the traditional method. However, there was no statistically significant difference in BV, BF, and MTT value between the two methods except permeability surface (PS) ( >0.05). The volume CT dose index (CTDIvol) and dose length product (DLP) of our protocol were lower than the traditional one. The new protocol can obtain valuable diagnostic information in a shorter time without significant compromise in image quality. In addition, it reduces the radiation dose as well as contrast medium usage on the patient.

Keywords: computed tomography angiography     computed tomography perfusion    

Determining casting defects in near-net shape casting aluminum parts by computed tomography

Jiehua LI, Bernd OBERDORFER, Daniel HABE, Peter SCHUMACHER

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 1,   Pages 48-52 doi: 10.1007/s11465-018-0493-y

Abstract:

Three types of near-net shape casting aluminum parts were investigated by computed tomography to determineThis investigation demonstrated that computed tomography is an efficient method to determine casting

Keywords: shape casting     aluminum parts     casting defects     low pressure die casting     die casting     semi-solid casting     computedtomography    

Experimental investigations of internal energy dissipation during fracture of fiber-reinforced ultra-high-performance concrete

Eric N. LANDIS, Roman KRAVCHUK, Dmitry LOSHKOV

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 1,   Pages 190-200 doi: 10.1007/s11709-018-0487-1

Abstract: fiber-reinforced ultra-high-performance concrete (UHPC) was examined using two complementary techniques: X-ray computedtomography (CT) and acoustic emission (AE).

Keywords: ultra-high-performance concrete     concrete fracture     X-ray computed tomography     acoustic emission    

Early diagnosis and therapeutic choice of

Jing LI, Ying FU, Ji-Yao WANG, Chuan-Tao TU, Xi-Zhong SHEN, Lei LI, Wei JIANG

Frontiers of Medicine 2010, Volume 4, Issue 3,   Pages 308-316 doi: 10.1007/s11684-010-0103-9

Abstract: Nowadays, pyogenic liver abscess (PLA) is still a common and severe intra-abdominal infection, and had emerged as the most common pathogenic bacteria worldwide in the past ten years. Our study aims to achieve an early pathogenic diagnosis and rational therapy modality for liver abscess (KLA) through clinical data analysis. A total of 197 inpatients in Zhongshan Hospital, Shanghai, diagnosed as having liver abscess between March 2001 and September 2009 were enrolled. Patients with monomicrobial infection were divided into two groups: patients with liver abscess (KLA group, =106) and those with non- liver abscess (NKLA group, =56). A retrospective analysis was made between these two groups on the aspects of underlying diseases, clinical characteristics, laboratory data, culture results, and imaging findings. To evaluate the effects of different medical interventions, monomicrobial KLA patients were further divided into four subgroups (percutaneous liver aspiration, aspiration plus antibiotics flushing, aspiration plus retained catheter, and aspiration plus antibiotics flushing and retained catheter), and corresponding therapeutic effects were analyzed. KLA was more likely to occur in patients with coexisting diseases such as diabetes mellitus (53.77% 25.00%, =0.001) and hepatic adipose infiltration (16.04% 5.36%, =0.029). Compared to NKLA group, clinical characteristics including abdominal pain (40.57% 57.14%, =0.044), hypodynamia (19.81% 46.43%, =0.001), and hepatomegaly (4.72% 14.29%, =0.033) were much milder, but with a higher fasting blood glucose level (7.84?±?0.36 5.76?±?0.30, =0.001) on admission in KLA group. In addition, KLA abscess often appeared singly in the right lobe of the liver with gas forming nature (32.88% 13.51%, =0.039), unsmooth rim (71.23% 40.54%, =0.002), and dynamic septum enhancement (41.10% 16.22%, =0.009). Compared to mono aspiration subgroup, additional antibiotic flushing could not further improve clinical outcomes of KLA patients ( >0.05); however, the retained catheter showed obvious advantage in reducing abscess diameter (34.38?±?3.25 mm 22.67?±?2.37 mm, =0.017). It can be concluded that the strong association with diabetes, milder clinical symptoms, and gas-forming nature in CT images makes early pathogenic diagnosis of KLA possible. Comparatively, ultrasonography-guided percutaneous liver aspiration with retained catheter may be the most rational intervention modality of KLA.

Keywords: liver abscess     Klebsiella pneumoniae     computed tomography     therapy    

Efficient scheme of low-dose CT reconstruction using TV minimization with an adaptive stopping strategy and sparse dictionary learning for post-processing Article

Yong DING, Tuo HU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 12,   Pages 2001-2008 doi: 10.1631/FITEE.1700287

Abstract: Recently, low-dose computed tomography (CT) has become highly desirable because of the growing concern

Keywords: Low-dose computed tomography (CT)     CT imaging     Total variation     Sparse dictionary learning    

Modelling and diagnostics of multiple cathodes plasma torch system for plasma spraying

Kirsten BOBZIN, Nazlim BAGCIVAN, Lidong ZHAO, Ivica PETKOVIC, Jochen SCHEIN, Karsten HARTZ-BEHREND, Stefan KIRNER, José-Luis MARQUéS, Günter FORSTER

Frontiers of Mechanical Engineering 2011, Volume 6, Issue 3,   Pages 324-331 doi: 10.1007/s11465-011-0125-2

Abstract: with experimentally determined temperature distributions, which were obtained with specially developed computedtomography equipment for reconstructing the emissivity and temperature distribution of the plasma jet

Keywords: plasma spraying     electric arc     three-cathode plasma torch     numerical simulation     computed tomography    

From Signal to Knowledge: The Diagnostic Value of Raw Data in the Artificial Intelligence Prediction of Human Data for the First Time

Bingxi He,Yu Guo,Yongbei Zhu,Lixia Tong,Boyu Kong,Kun Wang,Caixia Sun,Hailin Li,Feng Huang,Liwei Wu,Meng Wang,Fanyang Meng,Le Dou,Kai Sun,Tong Tong,Zhenyu Liu,Ziqi Wei,Wei Mu,Shuo Wang,Zhenchao Tang,

Engineering doi: 10.1016/j.eng.2023.02.013

Abstract: an AI-based signal-to-knowledge diagnostic scheme for lung nodule classification directly from the computedtomography (CT) raw data (the signal).

Keywords: Computed tomography     Diagnosis     Deep learning     Lung cancer     Raw data    

of plotting sensor sensitivity field and image reconstruction algorithm for electrical capacitance tomography

CHEN De-yun, YANG Cong-jing, ZHENG Gui-bin, YU Xiao-yang, SUN Li-juan

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 2,   Pages 242-247 doi: 10.1007/s11465-006-0008-0

Abstract: Sensor sensitivity field in electrical capacitance tomography is affected by the distribution of multiphase

Keywords: multiphase     unequal interval     capacitance tomography     pattern     sensitivity    

Ambient Noise Tomography for Coral Islands Article

Shaohong Xia, Changrong Zhang, Jinghe Cao

Engineering 2023, Volume 25, Issue 6,   Pages 182-193 doi: 10.1016/j.eng.2021.09.022

Abstract: While ambient noise tomography with dense arrays has been widely used in continental regions, its applicabilitynoise characteristics and obtained a 3D subsurface structure of the coral island using ambient noise tomographyOur research demonstrates that ambient noise tomography is a potentially economical, efficient, and environmentally

Keywords: Coral island     Ambient noise tomography     Engineering geology     South China Sea    

A Deep Learning System to Screen Novel Coronavirus Disease 2019 Pneumonia Article

Xiaowei Xu, Xiangao Jiang, Chunlian Ma, Peng Du, Xukun Li, Shuangzhi Lv, Liang Yu, Qin Ni, Yanfei Chen, Junwei Su, Guanjing Lang, Yongtao Li, Hong Zhao, Jun Liu, Kaijin Xu, Lingxiang Ruan, Jifang Sheng, Yunqing Qiu, Wei Wu, Tingbo Liang, Lanjuan Li

Engineering 2020, Volume 6, Issue 10,   Pages 1122-1129 doi: 10.1016/j.eng.2020.04.010

Abstract: Meanwhile, the manifestations of COVID-19 as seen through computed tomography (CT) imaging show individual

Keywords: Coronavirus disease 2019 pneumonia     COVID-19     Location-attention classification model     Computed tomography    

epidermal necrolysis in China: evaluation of risk models and new predictor of pulmonary consolidation on computedtomography

Yanhong Shou, Lu Yang, Yongsheng Yang, Xiaohua Zhu, Feng Li, Bo Yin, Yingyan Zheng, Jinhua Xu

Frontiers of Medicine 2021, Volume 15, Issue 4,   Pages 585-593 doi: 10.1007/s11684-020-0817-2

Abstract: In addition, the imaging appearance of pulmonary consolidation on computed tomography was associated

Keywords: Stevens–Johnson syndrome     toxic epidermal necrolysis     auxiliary score     ABCD-10     pulmonary consolidation    

Fatigue of asphalt binder, mastic and mixture at low temperature

Dong WANG, Linbing WANG, Guoqing ZHOU

Frontiers of Structural and Civil Engineering 2012, Volume 6, Issue 2,   Pages 166-175 doi: 10.1007/s11709-012-0157-7

Abstract: The fatigue damage is one of the most common distresses observed on the asphalt concrete pavement. To thoroughly understand the fatigue of asphalt concrete, the behaviors of the major components of asphalt concrete under cyclic loading are investigated respectively in this study. A new experiment method is developed to evaluate the performances of asphalt binder, mastic and fine aggregates mixture under cyclic tensile loading. The fatigue test results of asphalt binder show that the fatigue performance of asphalt binder is closely related with loading magnitude, temperature and loading rate. Mastic specimens with different filler content are tested and the results indicate that mastic specimens with 30% filler content show better fatigue resistance and higher permanent strain. The micro-structure analysis of mastic and mixture indicates that the fatigue resistance is closely related with the air void content of specimen. 3D digital specimens are developed to model the fatigue of the asphalt binder, mastic and mixture specimens based on the finite element method (FEM). Fatigue damage of asphalt concrete is simplified by a damage model. With proper selection of damage parameters, the simulation results agree well with laboratory test results and can be used as a basis for future fatigue research.

Keywords: fatigue     asphalt mixture     asphalt binder     mastic     finite element method (FEM)     X-ray tomography    

Early Identification of Abnormal Regions in Rock-Mass Using Traveltime Tomography Article

Longjun Dong,Zhongwei Pei,Xin Xie,Yihan Zhang,Xianhang Yan

Engineering 2023, Volume 22, Issue 3,   Pages 191-200 doi: 10.1016/j.eng.2022.05.016

Abstract: To meet the high-accuracy detection requirements of underground engineering, this paper proposes a tomographymethod for abnormal region identification in complex rock-mass structures that utilizes traveltime tomographyThis paper not only realizes the application of abnormal region identification using traveltime tomography

Keywords: Underground engineering     Traveltime tomography     Complex structures     Abnormal region identification     Ray    

Title Author Date Type Operation

Multislice computed tomography angiography in the diagnosis of cardiovascular disease: 3D visualizations

Zhonghua Sun

Journal Article

properties of municipal solid waste incineration residues with cement and coal fly ash using X-ray ComputedTomography scanners

Toshifumi MUKUNOKI, Ta Thi HOAI, Daisuke FUKUSHIMA, Teppei KOMIYA, Takayuki SHIMAOKA

Journal Article

Simultaneous acquisition of CT angiography and whole brain CT perfusion images by using multiphase dynamic helical scan on 16 MDCT

Weiwei CHEN, Jianpin QI, Wenzhen ZHU, Wenhua HUANG, Jinmei SONG

Journal Article

Determining casting defects in near-net shape casting aluminum parts by computed tomography

Jiehua LI, Bernd OBERDORFER, Daniel HABE, Peter SCHUMACHER

Journal Article

Experimental investigations of internal energy dissipation during fracture of fiber-reinforced ultra-high-performance concrete

Eric N. LANDIS, Roman KRAVCHUK, Dmitry LOSHKOV

Journal Article

Early diagnosis and therapeutic choice of

Jing LI, Ying FU, Ji-Yao WANG, Chuan-Tao TU, Xi-Zhong SHEN, Lei LI, Wei JIANG

Journal Article

Efficient scheme of low-dose CT reconstruction using TV minimization with an adaptive stopping strategy and sparse dictionary learning for post-processing

Yong DING, Tuo HU

Journal Article

Modelling and diagnostics of multiple cathodes plasma torch system for plasma spraying

Kirsten BOBZIN, Nazlim BAGCIVAN, Lidong ZHAO, Ivica PETKOVIC, Jochen SCHEIN, Karsten HARTZ-BEHREND, Stefan KIRNER, José-Luis MARQUéS, Günter FORSTER

Journal Article

From Signal to Knowledge: The Diagnostic Value of Raw Data in the Artificial Intelligence Prediction of Human Data for the First Time

Bingxi He,Yu Guo,Yongbei Zhu,Lixia Tong,Boyu Kong,Kun Wang,Caixia Sun,Hailin Li,Feng Huang,Liwei Wu,Meng Wang,Fanyang Meng,Le Dou,Kai Sun,Tong Tong,Zhenyu Liu,Ziqi Wei,Wei Mu,Shuo Wang,Zhenchao Tang,

Journal Article

of plotting sensor sensitivity field and image reconstruction algorithm for electrical capacitance tomography

CHEN De-yun, YANG Cong-jing, ZHENG Gui-bin, YU Xiao-yang, SUN Li-juan

Journal Article

Ambient Noise Tomography for Coral Islands

Shaohong Xia, Changrong Zhang, Jinghe Cao

Journal Article

A Deep Learning System to Screen Novel Coronavirus Disease 2019 Pneumonia

Xiaowei Xu, Xiangao Jiang, Chunlian Ma, Peng Du, Xukun Li, Shuangzhi Lv, Liang Yu, Qin Ni, Yanfei Chen, Junwei Su, Guanjing Lang, Yongtao Li, Hong Zhao, Jun Liu, Kaijin Xu, Lingxiang Ruan, Jifang Sheng, Yunqing Qiu, Wei Wu, Tingbo Liang, Lanjuan Li

Journal Article

epidermal necrolysis in China: evaluation of risk models and new predictor of pulmonary consolidation on computedtomography

Yanhong Shou, Lu Yang, Yongsheng Yang, Xiaohua Zhu, Feng Li, Bo Yin, Yingyan Zheng, Jinhua Xu

Journal Article

Fatigue of asphalt binder, mastic and mixture at low temperature

Dong WANG, Linbing WANG, Guoqing ZHOU

Journal Article

Early Identification of Abnormal Regions in Rock-Mass Using Traveltime Tomography

Longjun Dong,Zhongwei Pei,Xin Xie,Yihan Zhang,Xianhang Yan

Journal Article