DSHARP: Deep Incompressible Motion Estimation with Sinusoidal-transformed Harmonic Phase for Tagged MRI [0.03%]
基于正弦变换调和相位的深度不可压缩运动估计在标记MRI中的应用(DSHARP)
Zhangxing Bian,Shuwen Wei,Junyu Chen et al.
Zhangxing Bian et al.
Tagged magnetic resonance imaging (tMRI) is a valuable tool for visualizing and quantifying tissue deformation in vivo. Its use is often hampered, however, by tag fading, long computation times, and the challenge of ensuring diffeomorphic, ...
Fast 3D Ultrasound Localization Microscopy via Projection-based Processing Framework [0.03%]
基于投影的处理框架实现快速三维超声定位显微成像技术
Jingke Zhang,Jingyi Yin,U-Wai Lok et al.
Jingke Zhang et al.
Three-dimensional ultrasound localization microscopy (ULM) enables comprehensive visualization of the vasculature, thereby improving diagnostic reliability. Nevertheless, its clinical translation remains challenging, as the exponential grow...
Generative Consistency Models for Estimation of Kinetic Parametric Image Posteriors in Total-Body PET [0.03%]
全身PET中用于动力学参数图像后验估计的生成一致性模型
Yun Zhao,Qinlin Gu,Georgios I Angelis et al.
Yun Zhao et al.
Dynamic total body positron emission tomography (TB-PET) makes it feasible to measure the kinetics of the tracer in all organs of the body simultaneously which may lead to important applications in multi-organ disease and systems physiology...
GLEAM: A Multimodal Imaging Dataset and HAMM for Glaucoma Classification [0.03%]
GLEAM：用于青光眼分类的多模态影像数据集及HAMM方法
Jiao Wang,Chi Liu,Yiying Zhang et al.
Jiao Wang et al.
Glaucoma is a leading cause of irreversible blindness worldwide, with asymptomatic early stages often delaying diagnosis and treatment. Early and accurate diagnosis requires integrating complementary information from multiple ocular imaging...
BrainPrompt+: Multi-Level Brain Prompt Learning for Knowledge-Guided Neurological Disorder Identification [0.03%]
脑部提示学习促进知识引导的神经系统疾病识别
Jiaxing Xu,Kai He,Yue Tang et al.
Jiaxing Xu et al.
Accurate identification of neurological disorders such as Alzheimer's disease (AD), Parkinson's disease (PD), and Autism Spectrum Disorder (ASD) is challenging due to subtle early-stage symptoms and heterogeneous brain dynamics. Resting-sta...
Reliable Multi-Prototypical Contrastive Learning for Semi-supervised Heterogeneous and Multi-organ Medical Image Segmentation [0.03%]
用于半监督异质和多器官医学图像分割的可靠多原型对比学习
Xiangjun Yang,Jieshu Ren,Liang Yang et al.
Xiangjun Yang et al.
Accurate multi-organ segmentation across heterogeneous medical images is pivotal for real-world surgical navigation. The scarcity of annotation constitutes a well-established consensus in the field, prompting semi-supervised learning to eme...
MT-SAM: A Mamba-Transformer Enhanced SAM with Prior-guided Prompting for Multi-modal Prostate Cancer Delineation [0.03%]
基于引导提示的增强型SAM前列腺癌多模态边界勾画方法研究（MT-SAM）
Litao Zhao,Yuhan Zhang,Libiao Ji et al.
Litao Zhao et al.
Clinically, bi-parametric MRI (bp-MRI), including T2-weighted imaging, diffusion-weighted imaging, and apparent diffusion coefficient map, offers essential prior localization of biopsy and focal therapy for suspicious clinically significant...
Refine Then Fusion: Robust 3D Brain MRI Synthesis via Vision-Language Collaboration [0.03%]
基于视觉-语言协作的鲁棒性3D脑部MRI合成方法
Jinbao Wei,Gang Yang,Wei Wei et al.
Jinbao Wei et al.
Metadata-guided cross-modality 3D MRI synthesis aims to generate target-contrast volumes from source-modality data conditioned on clinically available metadata, which is important for enhancing clinical imaging flexibility. However, existin...
Coherence Based Sound Speed Aberration Correction - with clinical validation in fetal ultrasound [0.03%]
基于一致性的声速偏差矫正技术及其在胎儿超声诊断中的临床验证
Anders Emil Vralstad,Peter Fosodeder,Karin Ulrike Deibele et al.
Anders Emil Vralstad et al.
The purpose of this work is to demonstrate a robust and clinically validated method for correcting sound speed aberrations in medical ultrasound. We propose a correction method that calculates the focus delays directly from the observed two...
CIM-VTP: Correlation-Guided Image Modeling with Visual-Textual Task Prompt for Universal Medical Image Registration [0.03%]
基于视觉文本任务提示的相关引导图像模型在医学图像配准中的应用:CIM-VTP
Housheng Xie,Xiaoru Gao,Guoyan Zheng
Housheng Xie
Universal medical image registration through a single model handling various registration tasks has attracted increasing interest. However, existing deep learning-based methods face two major challenges in adapting to universal registration...