Taiping He

ORCID: 0000-0002-3100-8086
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Research Areas
  • Radiation Dose and Imaging
  • Advanced X-ray and CT Imaging
  • Cardiac Imaging and Diagnostics
  • Radiomics and Machine Learning in Medical Imaging
  • Medical Imaging Techniques and Applications
  • Dental Radiography and Imaging
  • MRI in cancer diagnosis
  • Digital Radiography and Breast Imaging
  • Lung Cancer Diagnosis and Treatment
  • Renal cell carcinoma treatment
  • Forensic Anthropology and Bioarchaeology Studies
  • COVID-19 diagnosis using AI
  • Tuberculosis Research and Epidemiology
  • Long-Term Effects of COVID-19
  • Advanced Image Fusion Techniques
  • Respiratory Support and Mechanisms
  • Nonlinear Dynamics and Pattern Formation
  • Antioxidant Activity and Oxidative Stress
  • Anatomy and Medical Technology
  • COVID-19 Clinical Research Studies
  • Orthodontics and Dentofacial Orthopedics
  • Drug-Induced Hepatotoxicity and Protection
  • Face recognition and analysis
  • Electrical and Bioimpedance Tomography
  • Pharmacological Effects and Assays

Affiliated Hospital of Shaanxi University of Chinese Medicine
2016-2025

Shaanxi University of Chinese Medicine
2019-2025

Chengdu University of Traditional Chinese Medicine
2024

Shenzhen Center for Disease Control and Prevention
2022

Guangdong Medical College
2018-2022

First Affiliated Hospital of Xi'an Jiaotong University
2022

Northwest University
2022

To evaluate the image quality improvement and noise reduction in routine dose, non-enhanced chest CT imaging by using a new generation adaptive statistical iterative reconstruction (ASIR-V) comparison with ASIR algorithm.30 patients who underwent GE Discovery CT750HU (GE Healthcare, Waukesha, WI) were included. The scan parameters included tube voltage of 120 kVp, automatic current modulation to obtain index 14HU, rotation speed 0.6 s, pitch 1.375:1 slice thickness 5 mm. After scanning, all...

10.1259/bjr.20170521 article EN British Journal of Radiology 2017-10-27

Abstract Objective To evaluate the radiation and contrast dose reduction potential of combining 70 kV with deep learning image reconstruction(DLIR) in coronary computed tomography angiography(CCTA) for slender patients body-mass-index (BMI)≤25kg/m2. Methods Sixty CCTA were randomly divided into two groups: group A 120 agent 0.8 ml/kg, B 0.5 ml/kg.Group used adaptive statistical iterative reconstruction-V(ASIR-V) 50% strength level(50%ASIR-V) while 50%ASIR-V, DLIR low level(DLIR-L),DLIR...

10.1093/bjr/tqaf077 article EN British Journal of Radiology 2025-04-09

To investigate the application of low radiation and contrast dose spectral CT angiology using rapid kV-switching technique in head neck with subtraction method for bone removal.

10.1259/bjr.20170631 article EN British Journal of Radiology 2018-02-07

Purpose To investigate the value of spectral CT in differential diagnosis benign from malignant pleural effusion. Method and materials 14 patients with effusion 15 underwent non-contrast imaging. These were later verified by combination disease history, clinical signs other information consensus surgeons radiologists. Various Spectral image parameters measured for as follows: numbers polychromatic 140kVp images, monochromatic images at 40keV 100keV, material density contents water, fat...

10.1371/journal.pone.0193714 article EN cc-by PLoS ONE 2018-04-11

Comparing the prediction models for ISUP/WHO grade of clear cell renal carcinoma (ccRCC) based on CT radiomics and conventional contrast-enhanced (CECT).The corticomedullary phase images 119 cases low-grade (I II) high-grade (III IV) ccRCC 2016 pathological grading criteria were analyzed retrospectively. The patients randomly divided into training validation set by stratified sampling according to 7:3 ratio. Prediction differentiation constructed using CECT findings in setandwere validated...

10.1259/bjr.20200131 article EN British Journal of Radiology 2020-07-24

To evaluate the clinical value of low-dose chest CT combined with new generation adaptive statistical iterative reconstruction (ASIR-V) algorithm in diagnosis pulmonary nodule.30 patients nodules underwent using Revolution CT. The were first scanned standard-dose at a noise index (NI) 14, and images reconstructed filtered back projection (FBP) algorithm. If found, targeted scan, NI 24, was performed localized on nodules, 60% ASIR-V. detection rate two scanning modes recorded. size standard...

10.1259/bjr.20180909 article EN British Journal of Radiology 2019-08-30

Objective To evaluate the clinical value of using monochromatic images in spectral CT pulmonary angiography to improve image quality bronchial arteries. Methods We retrospectively analyzed chest 38 patients who underwent contrast-enhanced CT. These included a set 140kVp polychromatic and default 70keV images. Using standard Gemstone Spectral Imaging (GSI) viewer on an advanced workstation (AW4.6,GE Healthcare), optimal energy level (in keV) for obtaining best contrast-to-noise ratio (CNR)...

10.1371/journal.pone.0150985 article EN cc-by PLoS ONE 2016-03-11

The aim of this study was to investigate radiation dose and image quality coronary computed tomography (CT) angiography (CCTA) for patients with high heart rate variability (HRv) using 16-cm wide-detector CT scanner.One hundred sixty-six uncontrolled underwent CCTA on a system were divided into 2 groups based their HRv analysis: group A (n = 95, ≤10 beats/min [bpm]) B 71, >10 bpm). Images in both reconstructed motion correction algorithm. Subjective objective qualities analyzed.There no...

10.1097/rct.0000000000000787 article EN Journal of Computer Assisted Tomography 2018-08-17

Objective: To evaluate the value of using low energy (keV) images in renal dual-energy spectral CT angiography (CTA) and adaptive statistical iterative reconstruction (ASIR) to reduce contrast medium dose. Methods: 40 patients with CTA on a Discovery CT750HD were randomly divided into two groups: 20 cases (Group A) 600 mgI kg−1 B) 300 kg−1. The scan protocol for both groups was: mode mA selection noise index 10 HU, pitch 1.375:1, rotating speed 0.6 s/r. Images reconstructed at 0.625 mm...

10.1259/bjr.20200974 article EN British Journal of Radiology 2021-03-09

BACKGROUND: This study aims to develop a computerized scheme that utilizes differential geometric approach identify pulmonary vessels and then evaluate the performance of on CT images heavy smokers. METHODS: The consists two primary steps segment entire lung vasc ular tree number in cross section. including accuracy, consistency, efficiency was assessed using 102 chest scans. Further assessment performed relationship between extent emphysema as well artery alteration. RESULTS: mean section...

10.3233/xst-16216 article EN Journal of X-Ray Science and Technology 2017-02-03
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