Article
Biochemistry & Molecular Biology
Yuan Li, Xiaojiang Duan, Hongchuang Xu, Jingming Zhang, Haoxi Zhou, Xiaojun Zhang, Jinming Zhang, Zhi Yang, Zhenhua Hu, Ning Zhang, Jie Tian, Xing Yang
Summary: This study demonstrates the potential of ODAP-Urea-based P3 for PET imaging and intraoperative optical imaging of prostate cancer, with optimized pharmacokinetics and high tumor uptake.
BIOORGANIC & MEDICINAL CHEMISTRY
(2022)
Article
Automation & Control Systems
Muhammad Zubair Islam, Rizwan Ali Naqvi, Amir Haider, Hyung Seok Kim
Summary: Tumor lesion segmentation and staging in cancer patients are challenging tasks, and DL-based tumor auto-segmentation methods have been developed to address the challenges of PET/CT multi-modality image-based tumor segmentation. This survey paper explores the weaknesses of PET and CT, the challenges of PET/CT images, and evaluates the achievements and limitations of existing auto-segmentation methods. It also classifies the methods based on their model architecture design and discusses solutions to improve segmentation performance.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Computer Science, Interdisciplinary Applications
Yi Chen, Yang Dong, Lu Si, Wenming Yang, Shan Du, Xuewu Tian, Chao Li, Qingmin Liao, Hui Ma
Summary: Polarization imaging is sensitive to sub-wavelength microstructures of different cancer tissues, providing rich optical characteristics and microstructure information. However, utilizing polarization information to enhance pathological diagnosis ability is still a challenging issue. To address this, we propose a dual polarization modality fusion network (DPMFNet), which incorporates a multi-stream CNN structure and a switched attention fusion module to aggregate features from different modality images. Our method shows superior performance in assisting pathological diagnosis, especially in small datasets and low imaging resolution cases. The technique has the potential to improve pathological aided diagnosis and expand the current digital pathology boundaries.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2023)
Article
Materials Science, Biomaterials
Cai Li, Lingzhou Zhao, Liang Jia, Zhijun Ouyang, Yue Gao, Rui Guo, Shaoli Song, Xiangyang Shi, Xueyan Cao
Summary: This study reports a novel nanoplatform based on glucose-modified dendrimer-entrapped gold nanoparticles (Au DENPs), which can achieve positron emission tomography (PET)/computed tomography (CT) dual-mode imaging and immunotherapy of tumors. After radiolabeling with Ga-68, this platform exhibits good cytocompatibility, targeting specificity, high labeling efficiency, and stability, with sensitive imaging effect and better inhibition effect of tumors.
JOURNAL OF MATERIALS CHEMISTRY B
(2022)
Article
Engineering, Biomedical
Xu Zhang, Bin Zhang, Shengming Deng, Qingquan Meng, Xinjian Chen, Dehui Xiang
Summary: This paper introduces a novel network for lung tumor segmentation. The network is able to simultaneously fuse PET and CT images, extract their features, and solve the problem of blurred boundaries. Experimental results demonstrate that the proposed method achieves high segmentation accuracy on PET-CT images of non-small cell lung cancer.
PHYSICS IN MEDICINE AND BIOLOGY
(2022)
Article
Oncology
Siqiu Wang, Rebecca Mahon, Elisabeth Weiss, Nuzhat Jan, Ross James Taylor, Philip Reed McDonagh, Bridget Quinn, Lulin Yuan
Summary: This study developed an automated lung tumor segmentation method for radiation therapy planning using deep learning and dual-modality PET-CT images. A 3D convolutional neural network was constructed to extract features and segment tumors based on PET and CT images. The network achieved clinically acceptable results on physician review after training and validation with a large dataset.
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
(2023)
Article
Computer Science, Artificial Intelligence
Aojun Gong, Lianbo Guo, Yuan Yu, Yunzhi Xia, Xianjun Deng, Zhenlin Hu
Summary: Traditional Chinese medicine (TCM) has a significant impact on the Chinese and global medical systems. This study proposes a fast and real-time technology called laser-induced breakdown spectroscopy (LIBS), which combines one-dimensional LIBS spectra with two-dimensional images for TCM classification. By utilizing multi-view data analysis, the system achieves exceptional accuracy and efficiency.
INFORMATION FUSION
(2024)
Review
Immunology
Yuan Gao, Caixia Wu, Xueqi Chen, Linlin Ma, Xi Zhang, Jinzhi Chen, Xuhe Liao, Meng Liu
Summary: This review provides a comprehensive overview of the importance of positron emission tomography/computed tomography (PET/CT) imaging in cancer immunotherapy, particularly immune-checkpoint inhibitors (ICIs). It highlights the role of PET/CT in evaluating the tumor microenvironment, discovering immune-related adverse events, assessing therapeutic efficacy, and predicting therapeutic prognosis. The review also discusses the future development direction and potential challenges of PET/CT imaging, and summarizes research on novel PET molecular probes for precise application of ICIs.
FRONTIERS IN IMMUNOLOGY
(2022)
Article
Computer Science, Information Systems
Dehui Xiang, Bin Zhang, Yuxuan Lu, Shengming Deng
Summary: Segmentation of lung tumors in PET-CT images is a challenging task in medical image processing. To address this issue, a modality-specific segmentation network (MoSNet) is proposed, which can simultaneously segment the lung tumor in PET images and CT images.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2023)
Article
Pharmacology & Pharmacy
Jieqiong Wang, Yuanyuan Wang, Jie Jia, Chenxing Liu, Dong Ni, Litao Sun, Zhijie Guo
Summary: In this study, we fabricated iRGD-QDLM complexes that combined ultrasound imaging with optical imaging for dual-modality molecular imaging of alpha v beta 3 integrin in tumor tissue. It was found that the complexes exhibited excellent binding capability and significantly enhanced signals in ultrasound molecular imaging.
Article
Engineering, Electrical & Electronic
Yaoli Wang, Rui Zhang, Zhibin Wang, Peng Xue, Min Cui, Mengwei Li
Summary: In this study, a double-channel complementary microarray coding method was proposed for snapshot-type polarization spectral imaging, which utilizes the transmission and reflection complementary principle of a single microarray coding plate. The dual-channel multispectral and hyperspectral image fusion technique was applied to enhance the resolution of polarization spectral imaging.
IEEE SENSORS JOURNAL
(2023)
Article
Chemistry, Multidisciplinary
Xiuyan Wei, Haitao Zhao, Gang Huang, Jianhua Liu, Weina He, Qingqing Huang
Summary: Among the characteristics of the tumor microenvironment, extracellular acidity is an important indicator for malignancy grading. This study proposes a PET/MRI dual-modality probe based on ES-MIONs with pHLIPs as a targeting unit, which successfully targets the acidic tumor microenvironment. In vitro and in vivo experiments validate the pHLIP-specific delivery of the probe.
Article
Computer Science, Artificial Intelligence
Xiongchao Chen, Bo Zhou, Huidong Xie, Xueqi Guo, Jiazhen Zhang, James S. Duncan, Edward J. Miller, Albert J. Sinusas, John A. Onofrey, Chi Liu
Summary: In this paper, a novel Dual-Channel Squeeze-Fusion-Excitation (DuSFE) co-attention module is proposed for the cross-modality rigid registration of cardiac SPECT and CT-derived mu-maps. DuSFE jointly encodes, fuses, and recalibrates the channel-wise or spatial features of SPECT and mu-maps, enabling gradual feature fusion in different spatial dimensions. Experimental results show that the DuSFE-embedded neural network generates significantly lower registration errors and more accurate attenuation-corrected SPECT images than existing methods.
MEDICAL IMAGE ANALYSIS
(2023)
Article
Engineering, Electrical & Electronic
Qi Guo, Chao Wang, Xiao Liang, Jiamin Ye
Summary: This article proposes a new image fusion method based on guided image filtering (GIF) and image statistics for reconstructing the gas-liquid-solid distribution. The method decomposes the images of electrical resistance tomography (ERT) and electromagnetic tomography (EMT) into base layers and detail layers, and calculates weights for each layer using image statistics and GIF methods. The simulation and experimental results demonstrate the accuracy of the proposed method in reconstructing the distribution.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Moritz T. Winkelmann, Florian Hagen, Lucie Le-Yannou, Jakob Weiss, Philipp Riffel, Ralf Gutjahr, Sebastian Faby, Konstantin Nikolaou, Marius Horger
Summary: This study compared the objective and subjective image quality of bone microstructure and disease-related abnormalities in multiple myeloma patients using a first-generation dual-source photon-counting detector CT (DS-PCD-CT) and a second-generation dual-source dual-energy CT (DS-EID-CT). The results showed that DS-PCD-CT significantly improved the spatial resolution of bony microstructure and lytic bone lesions compared to DS-EID-CT.
EUROPEAN RADIOLOGY
(2023)
