Torso Synthetic CT generation by integrating Deep Learning and Segmentation for FDG-PET/MR attenuation correction [0.03%]
基于深度学习和分割集成的躯干合成CT生成以进行FDG-PET / MR衰减校正
Jin Uk Heo,Shujin Sun,Robert S Jones et al.
Jin Uk Heo et al.
Positron Emission Tomography/Magnetic Resonance (PET/MR) offers benefits over PET/CT including simultaneous PET and MR acquisition, intrinsic spatial registration accuracy, MR-based functional information, and superior soft tissue contrast....
Design of a fisheye arthroscope with an ultra-wide field of view for viewing joints [0.03%]
一种用于关节检查的超广角鱼眼关节镜的设计
Sajede Fahim,Ali Rezaei-Latifi,Amirhossein Rezaei Latifi
Sajede Fahim
The field of view (FOV) is a critical parameter in optical endoscopic systems that directly influences a physician's ability to inspect internal anatomical structures thoroughly and accurately without repositioning the device. This study de...
Anatomically CT-Guided Iterative Reconstruction using KEM for Sparse Projection 99mTc-MDP Bone SPECT/CT: Quantitative Validation in Metabolic Imaging [0.03%]
基于解剖结构的CT引导迭代重建法利用KEM进行稀疏投影骨SPECT/CT的代谢成像定量验证研究
Chunxing Wu,Yueming Zha,Liangjun Xie
Chunxing Wu
Objective: This study systematically compared the anatomically CT-guided Kernel Expectation Maximization (KEM) algorithm with traditional Ordered Subset Expectation Maximization (OSEM) for bone SPECT reconstruction. Full ...
Segmentation of Glioma Sub-regions Based on EnnUnet in Tumor Treating Fields [0.03%]
基于EnnUnet的肿瘤治疗场胶质瘤亚区分割
Liang Wang,Chunxiao Chen,Yueyue Xiao et al.
Liang Wang et al.
Accurate segmentation of glioblastoma (GBM), including the whole tumor (WT), tumor core (TC), and enhancing tumor (ET), from multi-modal magnetic resonance images (MRI) is essential for precise Tumor Treating Fields (TTFields) simulation. T...
CSCST-Net: A Fully Sparse-Regularized Convolutional Sparse Coding Network for Low-Dose CT Denoising [0.03%]
一种基于完全稀疏正则化的卷积稀疏编码网络的低剂量CT降噪方法(CSCST-Net)
Jinxin Luo,Yi Liu,Tao Wang et al.
Jinxin Luo et al.
Objective: Most low-dose computed tomography (LDCT) denoising methods based on CNN have some denoising effect, but their interpretability is very low due to the black-box nature of neural networks. ...
Multi-Modal Semi-Supervised Medical Image Segmentation via Spatial Weight Fusion and Prototype-Based Alignment [0.03%]
基于空间权重融合和原型对齐的多模态半监督医学图像分割方法
Xiao Tian,Biyuan Li,Jinying Ma et al.
Xiao Tian et al.
Multi-modal learning leverages complementary information from different modalities to enhance medical image segmentation. However, existing methods often require large-scale, high-quality annotations, which are scarce in clinical practice, ...
Improved Peaks Automatic Detection Algorithm of Noisy Quasi-periodic Physiological Signals [0.03%]
一种改进的心律不齐ECG信号噪声峰值检测算法
Yongxin Chou,Lijuan Chou,Suhang Gu et al.
Yongxin Chou et al.
The automatic multiscale-based peak detection (AMPD) method for quasi-periodic signals suffers from high computational complexity, substantial memory requirements, and occasional peak detection failures. To address these limitations, this p...
A brief review on prompt-gamma-based approaches for range verification in particle therapy [0.03%]
基于prompt-y射线的粒子治疗范围验证方法综述
Yin Yuying,Kaiwen Li,Lisheng Geng
Yin Yuying
Particle therapy has a sharp distal dose falloff at the end of the range, known as the Bragg peak (BP), offering significant advantages over conventional photon therapy. However, this modality also brings out several challenges due to vario...
Mathematical Modelling of Magnetic Field and Nanoparticle Effects on Calcium Signalling in Malignant Esophageal Cells [0.03%]
磁性和纳米粒子对恶性食管细胞钙信号影响的数学建模
Yevhen Salatskyi,Svitlana Vasylivna Gorobets,Oksana Yuriivna Gorobets
Yevhen Salatskyi
Purpose: This study aimed to develop a mathematical model investigating how low-frequency magnetic fields and magnetic nanoparticles theoretically affect calcium signalling in esophageal squamous cell carcinoma (ESCC) cel...
Impact of shared dense connectivity and channel width on convolutional block attention module for regional MRI-based brain tumor classification [0.03%]
基于区域MRI的脑肿瘤分类中卷积块注意模块共享密集连接和通道宽度的影响研究
Binish M C,Vinu Thomas
Binish M C
MR imaging is a widely used imaging technique for diagnosing brain-related issues. Different tumor types in MR images often share similar visual characteristics, leading to misclassification. This research focused on the impact of multiple ...