Wufan Chen
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View article: Cross-sectional imaging of speed-of-sound distribution using photoacoustic reversal beacons
Cross-sectional imaging of speed-of-sound distribution using photoacoustic reversal beacons Open
Photoacoustic tomography (PAT) enables non-invasive cross-sectional imaging of biological tissues, but it fails to map the spatial variation of speed-of-sound (SOS) within tissues. While SOS is intimately linked to density and elastic modu…
View article: Cross-sectional imaging of speed-of-sound distribution using photoacoustic reversal beacons
Cross-sectional imaging of speed-of-sound distribution using photoacoustic reversal beacons Open
Photoacoustic tomography (PAT) enables non-invasive cross-sectional imaging of biological tissues, but it fails to map the spatial variation of speed-of-sound (SOS) within tissues. While SOS is intimately linked to density and elastic modu…
View article: Medical Image Fusion for High-Level Analysis: A Mutual Enhancement Framework for Unaligned PAT and MRI
Medical Image Fusion for High-Level Analysis: A Mutual Enhancement Framework for Unaligned PAT and MRI Open
Photoacoustic tomography (PAT) offers optical contrast, whereas magnetic resonance imaging (MRI) excels in imaging soft tissue and organ anatomy. The fusion of PAT with MRI holds promising application prospects due to their complementary a…
View article: Image reconstruction of multispectral sparse sampling photoacoustic tomography based on deep algorithm unrolling
Image reconstruction of multispectral sparse sampling photoacoustic tomography based on deep algorithm unrolling Open
Photoacoustic tomography (PAT), as a novel medical imaging technology, provides structural, functional, and metabolism information of biological tissue in vivo. Sparse Sampling PAT, or SS-PAT, generates images with a smaller number of dete…
View article: Spiral Scanning and Self-Supervised Image Reconstruction Enable Ultra-Sparse Sampling Multispectral Photoacoustic Tomography
Spiral Scanning and Self-Supervised Image Reconstruction Enable Ultra-Sparse Sampling Multispectral Photoacoustic Tomography Open
Multispectral photoacoustic tomography (PAT) is an imaging modality that utilizes the photoacoustic effect to achieve non-invasive and high-contrast imaging of internal tissues. However, the hardware cost and computational demand of a mult…
View article: Deep learning acceleration of iterative model-based light fluence correction for photoacoustic tomography
Deep learning acceleration of iterative model-based light fluence correction for photoacoustic tomography Open
Photoacoustic tomography (PAT) is a promising imaging technique that can visualize the distribution of chromophores within biological tissue. However, the accuracy of PAT imaging is compromised by light fluence (LF), which hinders the quan…
View article: An Innovative and Efficient Diagnostic Prediction Flow for Head and Neck Cancer: A Deep Learning Approach for Multi-Modal Survival Analysis Prediction Based on Text and Multi-Center PET/CT Images
An Innovative and Efficient Diagnostic Prediction Flow for Head and Neck Cancer: A Deep Learning Approach for Multi-Modal Survival Analysis Prediction Based on Text and Multi-Center PET/CT Images Open
Objective: To comprehensively capture intra-tumor heterogeneity in head and neck cancer (HNC) and maximize the use of valid information collected in the clinical field, we propose a novel multi-modal image–text fusion strategy aimed at imp…
View article: NoQSM-net: Combining Convolutional Neural Network With Numerical Optimization Algorithm for Quantitative Susceptibility Mapping Reconstruction
NoQSM-net: Combining Convolutional Neural Network With Numerical Optimization Algorithm for Quantitative Susceptibility Mapping Reconstruction Open
In gradient echo MRI, quantitative susceptibility mapping (QSM) quantifies the magnetic susceptibility distributions of tissues, which has great potential in detecting brain diseases. However, QSM reconstruction is an ill-conditional inver…
View article: Deep learning acceleration of iterative model-based light fluence correction for photoacoustic tomography
Deep learning acceleration of iterative model-based light fluence correction for photoacoustic tomography Open
Photoacoustic tomography (PAT) is a promising imaging technique that can visualize the distribution of chromophores within biological tissue. However, the accuracy of PAT imaging is compromised by light fluence (LF), which hinders the quan…
View article: Assessment of rhabdomyolysis-induced acute kidney injury with chemical exchange saturation transfer magnetic resonance imaging
Assessment of rhabdomyolysis-induced acute kidney injury with chemical exchange saturation transfer magnetic resonance imaging Open
The MTR obtained from CEST-MRI is sensitive to the pathological changes in RM-induced AKI, indicating its potential clinical utility for the assessment of kidney diseases.
View article: A new 3D phase unwrapping method by region partitioning and local polynomial modeling in abdominal quantitative susceptibility mapping
A new 3D phase unwrapping method by region partitioning and local polynomial modeling in abdominal quantitative susceptibility mapping Open
Background Accurate phase unwrapping is a critical prerequisite for successful applications in phase-related MRI, including quantitative susceptibility mapping (QSM) and susceptibility weighted imaging. However, many existing 3D phase unwr…
View article: Automatic 3D reconstruction of an anatomically correct upper airway from endoscopic long range OCT images
Automatic 3D reconstruction of an anatomically correct upper airway from endoscopic long range OCT images Open
Endoscopic airway optical coherence tomography (OCT) is a non-invasive and high resolution imaging modality for the diagnosis and analysis of airway-related diseases. During OCT imaging of the upper airway, in order to reliably characteriz…
View article: Advanced Image Post-Processing Methods for Photoacoustic Tomography: A Review
Advanced Image Post-Processing Methods for Photoacoustic Tomography: A Review Open
Photoacoustic tomography (PAT) is a promising imaging technique that utilizes the detection of light-induced acoustic waves for both morphological and functional biomedical imaging. However, producing high-quality images using PAT is still…
View article: In vivo co-registered hybrid-contrast imaging by successive photoacoustic tomography and magnetic resonance imaging
In vivo co-registered hybrid-contrast imaging by successive photoacoustic tomography and magnetic resonance imaging Open
Magnetic resonance imaging (MRI) and photoacoustic tomography (PAT) offer two distinct image contrasts. To integrate these two modalities, we present a comprehensive hardware-software solution for the successive acquisition and co-registra…
View article: Impact of Aggregation Methods for Texture Features on Their Robustness Performance: Application to Nasopharyngeal 18F-FDG PET/CT
Impact of Aggregation Methods for Texture Features on Their Robustness Performance: Application to Nasopharyngeal 18F-FDG PET/CT Open
Purpose: This study aims to investigate the impact of aggregation methods used for the generation of texture features on their robustness of nasopharyngeal carcinoma (NPC) based on 18F-FDG PET/CT images. Methods: 128 NPC patients were enro…
View article: <scp>3D‐EPI</scp> blip‐up/down acquisition (<scp>BUDA</scp>) with <scp>CAIPI</scp> and joint <scp>H</scp>ankel structured low‐rank reconstruction for rapid distortion‐free high‐resolution T2* mapping
<span>3D‐EPI</span> blip‐up/down acquisition (<span>BUDA</span>) with <span>CAIPI</span> and joint <span>H</span>ankel structured low‐rank reconstruction for rapid distortion‐free high‐resolution T2* mapping Open
Purpose This work aims to develop a novel distortion‐free 3D‐EPI acquisition and image reconstruction technique for fast and robust, high‐resolution, whole‐brain imaging as well as quantitative mapping. Methods 3D Blip‐up and ‐down acquisi…
View article: New 3D phase-unwrapping method based on voxel clustering and local polynomial modeling: application to quantitative susceptibility mapping
New 3D phase-unwrapping method based on voxel clustering and local polynomial modeling: application to quantitative susceptibility mapping Open
CLOSE3D achieves phase unwrapping with high accuracy and robustness, which will help phase-related 3D magnetic resonance imaging (MRI) applications such as QSM and susceptibility weighted imaging.
View article: 3D-EPI Blip-Up/Down Acquisition (BUDA) with CAIPI and Joint Hankel Structured Low-Rank Reconstruction for Rapid Distortion-Free High-Resolution T2* Mapping
3D-EPI Blip-Up/Down Acquisition (BUDA) with CAIPI and Joint Hankel Structured Low-Rank Reconstruction for Rapid Distortion-Free High-Resolution T2* Mapping Open
3D-BUDA data acquired from a 3T Siemens scanner and a 7T Siemens scanner
View article: 3D-EPI Blip-Up/Down Acquisition (BUDA) with CAIPI and Joint Hankel Structured Low-Rank Reconstruction for Rapid Distortion-Free High-Resolution T2* Mapping
3D-EPI Blip-Up/Down Acquisition (BUDA) with CAIPI and Joint Hankel Structured Low-Rank Reconstruction for Rapid Distortion-Free High-Resolution T2* Mapping Open
3D-BUDA data acquired from a 3T Siemens scanner and a 7T Siemens scanner
View article: 3D-EPI Blip-Up/Down Acquisition (BUDA) with CAIPI and Joint Hankel Structured Low-Rank Reconstruction for Rapid Distortion-Free High-Resolution T2* Mapping
3D-EPI Blip-Up/Down Acquisition (BUDA) with CAIPI and Joint Hankel Structured Low-Rank Reconstruction for Rapid Distortion-Free High-Resolution T2* Mapping Open
Purpose: This work aims to develop a novel distortion-free 3D-EPI acquisition and image reconstruction technique for fast and robust, high-resolution, whole-brain imaging as well as quantitative T2* mapping. Methods: 3D-Blip-Up and -Down A…
View article: Astrocyte dysfunction drives abnormal resting-state functional connectivity in depression
Astrocyte dysfunction drives abnormal resting-state functional connectivity in depression Open
Major depressive disorder (MDD) is a devastating mental disorder that affects up to 17% of the population worldwide. Although brain-wide network-level abnormalities in MDD patients via resting-state functional magnetic resonance imaging (r…
View article: Automated Skull Stripping in Mouse Functional Magnetic Resonance Imaging Analysis Using 3D U-Net
Automated Skull Stripping in Mouse Functional Magnetic Resonance Imaging Analysis Using 3D U-Net Open
Skull stripping is an initial and critical step in the pipeline of mouse fMRI analysis. Manual labeling of the brain usually suffers from intra- and inter-rater variability and is highly time-consuming. Hence, an automatic and efficient sk…
View article: Automated skull stripping in mouse fMRI analysis using 3D U-Net
Automated skull stripping in mouse fMRI analysis using 3D U-Net Open
Skull stripping is an initial and critical step in the pipeline of mouse fMRI analysis. Manual labeling of the brain usually suffers from intra- and inter-rater variability and is highly time-consuming. Hence, an automatic and efficient sk…