Publications by authors named "Ke-Ling Liu"

Background: Microvascular pathology is one of the main characteristics of diabetic cardiomyopathy; however, the early longitudinal course of diabetic microvascular dysfunction remains uncertain. This study aimed to investigate the early dynamic changes in left ventricular (LV) microvascular function in diabetic pig model using the cardiac magnetic resonance (CMR)-derived quantitative perfusion technique.

Methods: Twelve pigs with streptozotocin-induced diabetes mellitus (DM) were included in this study, and longitudinal CMR scanning was performed before and 2, 6, 10, and 16 months after diabetic modeling.

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Objective: To explore the clinical feasibility of applying deep learning (DL) reconstruction algorithm in low-dose thin-slice liver CT examination of healthy volunteers by comparing the reconstruction algorithm based on DL, filtered back projection (FBP) reconstruction algorithm and iterative reconstruction (IR) algorithm.

Methods: A standard water phantom with a diameter of 180 mm was scanned, using the 160 slice multi-detector CT scanning of United Imaging Healthcare, to compare the noise power spectrums of DL, FBP and IR algorithms. 100 healthy volunteers were prospectively enrolled, with 50 assigned to the normal dose group (ND) and 50 to the low dose group (LD).

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Objective: To compare the noise reduction performance of conventional filtering and artificial intelligence-based filtering and interpolation (AIFI) and to explore for optimal parameters of applying AIFI in the noise reduction of abdominal magnetic resonance imaging (MRI).

Methods: Sixty patients who underwent upper abdominal MRI examination in our hospital were retrospectively included. The raw data of T1-weighted image (T1WI), T2-weighted image (T2WI), and dualecho sequences were reconstructed with two image denoising techniques, conventional filtering and AIFI of different levels of intensity.

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Objective: To evaluate the noise reduction effect of deep learning-based reconstruction algorithms in thin-section chest CT images by analyzing images reconstructed with filtered back projection (FBP), adaptive statistical iterative reconstruction (ASIR), and deep learning image reconstruction (DLIR) algorithms.

Methods: The chest CT scan raw data of 47 patients were included in this study. Images of 0.

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Objective: To evaluate the diagnostic value of 3.0T time-of-flight MR angiography with sparse undersampling and iterative reconstruction (TOFu-MRA) for unruptured intracranial aneurysms (UIAs) on the basis of using digital subtraction angiography (DSA) as the reference standard.

Methods: A total of 65 patients with suspected UIAs were prospectively enrolled and all patients underwent TOFu-MRA and DSA.

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Objectives: To assess the longitudinal changes of microvascular function in different myocardial regions after myocardial infarction (MI) using myocardial blood flow derived by dynamic CT perfusion (CTP-MBF), and compare CTP-MBF with the results of cardiac magnetic resonance (CMR) and histopathology.

Methods: The CTP scanning was performed in a MI porcine model 1 day (n = 15), 7 days (n = 10), and 3 months (n = 5) following induction surgery. CTP-MBF was measured in the infarcted myocardium, penumbra, and remote myocardium, respectively.

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Purpose "One-stop" CT myocardial perfusion imaging (CT-MPI) was compared with cardiac magnetic resonance(CMR) to investigate its application value in evaluating patients with severe coronary artery stenosis.Fifty patients with coronary artery stenosis≥90% of at least one major coronary arteries comfirmed by coronary angiography (CAG) in the department of cardiology in our hospital, who referred for coronary artery stent implantation were prospectively enrolled. All the patients underwent "One-stop" CT-MPI within a week before surgery, among which 22 patients underwent CMR examination simultaneously.

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Objective: To determine the value of automated detection in computed tomography angiography (CTA) for cases with greater than 70% coronary stenosis.

Methods: Fifty-seven patients who had both coronary CTA and digital subtraction angiography (DSA) were retrospectively recruited in this study. The patients were categorized into two groups using a cutoff value of 70% stenosis in DSA.

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Objective: To determine consistencies between MR perfusion weighted imaging (PW-MRI) and CT perfusion imaging (CTP) in assessing hemodynamics of patients with moyamoya disease (MMD).

Methods: Images of PWI and CTP scan [including the map of cerebral blood flow (CBF), cerebral blood volume (CBV), time to peak (TTP), and mean transmit time (MTT)] of 24 MMD patients diagnosed by digital subtraction angiography(DSA) or time of flight-MR angiography (TOF-MRA) were obtained in the week before vascular reconstruction operations. Relative perfusion parameters (rCBF, rCBV, rMTT, rTTP) at the operative side within the middle cerebral artery territory and cerebellar hemisphere were compared with those of 17 patients without hypoperfusion and cerebrovascular disease using independent sample test.

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To evaluate whether aggressive characteristics of rectal cancer can be predicted by the apparent diffusion coefficient (ADC) obtained using readout-segmented echo-planar imaging (rs-EPI) diffusion-weighted magnetic resonance. We enrolled one hundred and fifteen patients. The image quality of ADC maps by rs-EPI was compared with that by traditional single-shot echo-planar imaging (ss-EPI), and ADC measurement was performed on the rs-EPI based ADC maps.

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The relationship between ambient relative humidity H and the position shift of a spectral line was investigated both experimentally and theoretically. An echelle-based ICP emission spectrometer equipped with a CID detector was used for experimental verification of the derived model. The shift of a spectral line is quantitatively described by two defined spectral shift functions: delta lambda x(x, lamda, H) (in the x direction of the CID detector) and delta lambda y(y, lambda, H) (in the y direction of the CID detector).

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The present review covers the latest progress in instruments and methodology of analytical atomic spectrometry in the areas, such as atomic absorption spectrometry (AAS), atomic emission spectrometry (AES), atomic fluorescence spectrometry (AFS), laser induced breakdown spectrometry (LIBS) and atomic mass spectrometry (AMS). The emphasis has focused in the fields of food, medicine and their relevant. The Lab-on-chips and microplasmas are emerged in recent years, which have facilitated the development of miniaturization of analytical atomic instruments.

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Objective: To identify antithrombin III (AT-III) gene mutation and polymorphisms in pregnant women and parturients with cerebral venous thrombosis (CVT) using denaturing high-performance liquid chromatography (DHPLC).

Methods: The genomic DNA was extracted from the blood samples of 50 pregnant women and parturients with CVT and 52 matched healthy women for molecular analysis using a PCR/DHPLC assay followed by DNA sequence analysis. Ten primer pairs were designed for amplifying the AT- III promoter region and exons 1-6 including the exon/intron boundaries.

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[Review of atomic spectroscopy].

Guang Pu Xue Yu Guang Pu Fen Xi

January 2005

The content of this review covers atomic absorption spectroscopy, atomic fluorescence spectroscopy, atomic emission spectroscopy, inductively coupled plasma mass spectroscopy, sampling systems and preconcentration systems of spectrochemical analysis, speciation of inorganic elements, process analytical chemistry, and sensors of inorganic elements.

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The trace elements Si, Al, Fe, Ca, Mn, Mg, and Cl in the K2Cr2O7 produced by chromate cleaner production were determined by a sequential inductively coupled plasma spectrometer in this paper. Matrix effect was studied and eliminated through matrix matching. The analytical conditions for the elements were optimized.

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[Wavelength shift of atomic spectral lines].

Guang Pu Xue Yu Guang Pu Fen Xi

June 2003

One-dimension wavelength shift of atomic spectral lines in 0-800 nm spectral range was observed, and the relationships between temperature, humidity, pressure, and the magnitudes of wavelength shift of the atomic spectral lines were found, which were expressed as some polynomial equations in this paper. The universality of these wavelength shift equations (above mentioned polynomial equations) is primarily proved experimentally. The nonlinear relationship between the half-width of spectra lines and temperature was also found.

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Genetic algorithm (GA) is used in automatic qualitative analysis by a sequential inductively coupled plasma spectrometer (ICP-AES) and a computer program is developed in this paper. No any standard samples are needed, and spectroscopic interferences can be eliminated. All elements and their concentration ranges of an unknown sample can be reported.

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