Improving coronary artery segmentation with self-supervised learning and automated pericoronary adipose tissue segmentation: a multi-institutional study on coronary computed tomography angiography images [0.03%]
通过自监督学习和自动冠周脂肪组织分割改善冠状动脉分割：冠状CT血管成像图像的多机构研究
Justin N Kim,Yingnan Song,Hao Wu et al.
Justin N Kim et al.
Purpose: Coronary artery disease (CAD) is a leading cause of morbidity and mortality worldwide, with coronary computed tomography angiography (CCTA) playing a crucial role in its diagnosis. The mean Hounsfield unit (HU) o...
Learning disentangled representations to harmonize connectome network measures [0.03%]
学习分散表示来调和连接组网络测量值
Nancy R Newlin,Michael E Kim,Praitayini Kanakaraj;BIOCARD Study Team;Kimberly Pechman et al.
Nancy R Newlin et al.
Purpose: Connectome network metrics are commonly regarded as fundamental properties of the brain, and their alterations have been implicated in the development of Alzheimer's disease, multiple sclerosis, and traumatic bra...
Evolution of tomosynthesis [0.03%]
断层合成技术的演变
Mitchell M Goodsitt,Andrew D A Maidment
Mitchell M Goodsitt
Purpose: Tomosynthesis is a limited-angle multi-projection method that was conceived to address a significant limitation of conventional single-projection x-ray imaging: the overlap of structures in an image. We trace the...
JMI Editor in Chief Bennett Landman provides an overview of JMI Volume 12 Issue 1 and spotlights key aspects of JMI peer review, with an eye toward continued growth for the JMI community. ...
Vision transformer distillation for enhanced gastrointestinal abnormality recognition in wireless capsule endoscopy images [0.03%]
无线胶囊内镜图像胃肠异常识别的视觉变压器知识蒸馏方法
Yassine Oukdach,Anass Garbaz,Zakaria Kerkaou et al.
Yassine Oukdach et al.
Purpose: Wireless capsule endoscopy (WCE) is a non-invasive technology used for diagnosing gastrointestinal abnormalities. A single examination generates ∼ 55,000 images, making manual review both time-consuming an...
Ultrasound elastic modulus reconstruction using a deep learning model trained with simulated data [0.03%]
基于模拟数据训练的深度学习模型在超声弹性模量重建中的应用研究
Utsav Ratna Tuladhar,Richard A Simon,Cristian A Linte et al.
Utsav Ratna Tuladhar et al.
Purpose: Ultrasound (US) elastography is a technique for non-invasive quantification of material properties, such as stiffness, from ultrasound images of deforming tissue. The material properties are calculated by solving...
Deep learning CT image restoration using system blur and noise models [0.03%]
基于系统模糊和噪声模型的深度学习CT图像恢复方法
Yijie Yuan,Grace J Gang,J Webster Stayman
Yijie Yuan
Purpose: The restoration of images affected by blur and noise has been widely studied and has broad potential for applications including in medical imaging modalities such as computed tomography. Recently, deep learning a...
Automatic detection of main pancreatic duct dilation and pancreatic parenchymal atrophy based on a shape feature in abdominal contrast-enhanced CT images [0.03%]
基于腹部增强CT图像的形态特征的主胰管扩张和胰腺实质萎缩的自动检测方法研究
Shintaro Ambo,Ryo Hirano,Chihiro Hattori
Shintaro Ambo
Purpose: The purpose of this study was to develop and evaluate an algorithm for calculating a shape feature to automatically detect both main pancreatic duct dilation (MPDD) and pancreatic parenchymal atrophy (PPA) in abd...
Respiratory-gated micro-computed tomography imaging to measure radiation-induced lung injuries in mice following ultra-high dose-rate and conventional dose-rate radiation therapy [0.03%]
呼吸门控微计算机断层扫描技术在超高剂量率和常规剂量率放疗后检测小鼠放射性肺损伤中的应用
Nancy Lee Ford,Xi Ren,Luca Egoriti et al.
Nancy Lee Ford et al.
Purpose: Ultra-high dose-rate radiotherapy (FLASH-RT) shows the potential to eliminate tumors while sparing healthy tissues. To investigate radiation-induced lung damage, we used in vivo respiratory-gated micro-computed t...
Pericoronary adipose tissue feature analysis in computed tomography calcium score images in comparison to coronary computed tomography angiography [0.03%]
冠状动脉钙评分CT图像中冠周脂肪组织特征分析与冠脉CT血管造影的对比研究
Yingnan Song,Hao Wu,Juhwan Lee et al.
Yingnan Song et al.
Purpose: We investigated the feasibility and advantages of using non-contrast CT calcium score (CTCS) images to assess pericoronary adipose tissue (PCAT) and its association with major adverse cardiovascular events (MACE)...