A5101541144- Advanced X-ray and CT Imaging
- Medical Imaging Techniques and Applications
- Robotics and Sensor-Based Localization
- 3D Surveying and Cultural Heritage
- Remote Sensing and LiDAR Applications
- AI in cancer detection
- Digital Radiography and Breast Imaging
- Wave and Wind Energy Systems
- Anatomy and Medical Technology
- Medical Imaging and Pathology Studies
- Complexity and Algorithms in Graphs
- Metabolism, Diabetes, and Cancer
- Chaos-based Image/Signal Encryption
- Fault Detection and Control Systems
- Diabetes Treatment and Management
- Transportation Planning and Optimization
- Congenital Diaphragmatic Hernia Studies
- Mechanisms of cancer metastasis
- Tuberous Sclerosis Complex Research
- Urban Transport and Accessibility
- Radiation Dose and Imaging
- Coastal and Marine Dynamics
- Cryptography and Data Security
- Cell Image Analysis Techniques
- Radiomics and Machine Learning in Medical Imaging
Westlake University
2024
National Heart Lung and Blood Institute
2021-2024
National Institutes of Health
2021-2024
ShenZhen People’s Hospital
2024
Hong Kong Polytechnic University
2018-2022
Zhejiang University
2022
Ocean University of China
2019-2020
Southeast University
2018
Wuhan University
2015
A method capable of automatically reconstructing 3D building models with semantic information from the unstructured point cloud indoor scenes is presented in this paper. This has three main steps: segmentation using a new hybrid algorithm, room layout reconstruction, and wall-surface object reconstruction by an enriched approach. Unlike existing methods, aims to detect, cluster, model complex structures without having prior scanner or trajectory information. In addition, enables accurate...
We propose a framework for odometry, mapping and ground segmentation using backpack LiDAR system that achieves both real-time low-drift performance. First, we present spatio-temporal calibration method to carefully merge scans from the two laser scanners on backpack. Second, feature extraction which generalizes point's geometrical characteristics as groups (disjoint, continuous) three types (edge, corner, plane). The extracted features are used in point cloud registration odometry tasks....
The aim of this study was to assess the interreader reliability and per-RCC sensitivity high-resolution photon-counting computed tomography (PCCT) in detection characterization renal masses comparison MRI.
In cystic lung diseases such as lymphangioleiomyomatosis (LAM), a CT-based cyst score that measures the percentage of volume occupied by cysts is common index burden in lungs. Although current semi-automatic measurement well established, it susceptible to human operator variabilities. We recently developed fully automatic method incorporating adaptive features place manual adjustments. this clinical study, validated against standard several aspects. These include agreement between scores two...
In pathology protocols, a tissue block, such as one containing mouse brain or biopsy sample from patient, can produce several hundred thin sections. Substantial time may be required to analyse all cases of uncertainty regarding which sections focus on, noninvasive scout imaging intact blocks help in guiding the procedure. The scouting step is ideally done window minutes without special preparation that interfere with procedures. challenge obtain some visibility unstained structures at sub-10...
Abstract Solar energy is a renewable that the world endeavouring to utilize. The solar cell essential invention makes transfer from light electricity possible. cells are normally made silicon wafers due silicon’s semi-conductivity. thesis will focus on development of wafers’ size and fabrication technology. Through analysis resent (in 5 years) statistics reports released by government or incorporations, link between trend reasons behind interpreted. ITRPV has pointed out switching...
Constructing colorized point clouds from mobile laser scanning and images is a fundamental work in surveying mapping. It also an essential prerequisite for building digital twins smart cities. However, existing public datasets are either relatively small scales or lack accurate geometrical color ground truth. This paper documents multisensorial dataset named PolyU-BPCoMA which distinctively positioned towards The incorporates resources of 3D LiDAR, spherical imaging, GNSS IMU on backpack...
In this paper, a new personal safety forewarning approach (PSFA) using GPS positioning and spatial analysis is presented. Specifically, we discussed the topological relationships between spatiotemporal objects related to safety. On that base, state assessed through calculation of matrix then how affirm factors response explored. Experimental results buffer show sufficient accuracy (more than 95%) can be obtained when target 20 meters or farther away from border test regions (even with poor...
In pathology protocols, each tissue block can generate a large number of sections making it impractical to analyze every section. X-ray microscopy that provides rapid survey intact blocks help pinpoint the relevant structures in 3D space for subsequent analysis, and thus reduce workload enable further automation downstream. Unlike dedicated virtual histology studies by traditional micro computed tomography (CT), routine scout imaging is constrained time window minutes minimal sample handling...
A hybrid imaging system consisting of a standard CT scanner and low-profile photon-counting detector insert in contact with the patient's body has been used to produce ultrahigh-resolution images limited volume chest scans patients. The is placed on patient bed as needed not attached. Thus, its position orientation dependent scan settings. To allow accurate image reconstruction, we devised method determining relative geometry for each using fiducial markers. This uses an iterative...
In a linear tomosynthesis scanner designed for imaging histologic samples of several centimeter size at 10 micrometer resolution, the mechanical instability scanning stage (+/-10 micrometers) exceeded resolution image system, making it necessary to determine trajectory each scan avoid blurring and artifacts in images that would arise from errors geometric information used 3D reconstruction. We present method online calibration by attaching layer randomly dispersed micro glass beads or...
Constructing colorized point clouds from mobile laser scanning and images is a fundamental work in surveying mapping. It also an essential prerequisite for building digital twins smart cities. However, existing public datasets are either relatively small scales or lack accurate geometrical color ground truth. This paper documents multisensorial dataset named PolyU-BPCoMA which distinctively positioned towards The incorporates resources of 3D LiDAR, spherical imaging, GNSS IMU on backpack...
A hybrid imaging system consisting of a standard computed tomography (CT) scanner and low-profile photon-counting detector insert in contact with the patient’s body has been used to produce ultrahigh-resolution images limited volume chest scans patients. The is placed on patient bed as needed not attached. Thus, its position orientation dependent scan settings. To allow accurate image reconstruction, we devised method determining relative geometry CT for each using fiducial markers. This...
In a linear tomosynthesis scanner designed for imaging histologic samples of several centimeters size at 10 µm resolution, the mechanical instability scanning stage (±10 µm) exceeded resolution image system, making it necessary to determine trajectory each scan avoid blurring and artifacts in images that would arise from errors geometric information used 3D reconstruction. We present method online calibration by attaching layer randomly dispersed micro glass beads or calcium particles bottom...