Learning ordinal representation across MRI sequences for liver fibrosis staging [0.03%]
跨MRI序列学习序数表示以进行肝纤维化分期
Jinhao Huo,Yutao Wang,Nan Wu et al.
Jinhao Huo et al.
Background: Accurate liver fibrosis staging (LFS) is important for the diagnosis and treatment planning of patients with liver diseases. Noncontrast MRI is suitable for early screening and long-term monitoring in clinical...
Efficient vision mamba for MRI super-resolution via hybrid selective scanning [0.03%]
基于混合选择性扫描的磁共振超高分辨率成像技术
Mojtaba Safari,Shansong Wang,Vanessa L Wildman et al.
Mojtaba Safari et al.
Background: High-resolution MRI is essential for accurate diagnosis and treatment planning, but its clinical acquisition is often constrained by long scanning times, which increase patient discomfort and reduce scanner th...
Impact of LET-modifying planning objectives on the optimization of mixed-modality proton-photon treatments [0.03%]
LET改变规划目标对混合模式质子-光子治疗优化的影响
Lisa Seckler,Amit Ben Antony Bennan,Niklas Wahl
Lisa Seckler
Background: The linear energy transfer (LET) correlates with the relative biological effectiveness (RBE); thus, the increase of LET in depth in proton therapy leads to elevated RBE and a higher risk of toxicity in healthy...
Vision mamba augmented segment anything model for medical image segmentation [0.03%]
用于医学图像分割的视觉墨宝增强分段anything模型
Zimao Li,Hongyan Zhao,Fan Yin et al.
Zimao Li et al.
Background: Medical image segmentation is a crucial task for accurate diagnosis and treatment, aiding in the identification of organs and lesions. While SAM has excelled in natural image segmentation, its direct applicati...
PRISM: An open-source framework for regularized material decomposition on a novel kV dual-layer imager [0.03%]
基于新型千伏双层探测器的正则化材料分解的开放源代码框架(PRISM)
François de Kermenguy,Matthew W Jacobson,Gregory C Sharp et al.
François de Kermenguy et al.
Background: A new prototype of kV Dual-Layer Imager enables in-treatment material decomposition. However, conventional decomposition methods, such as direct matrix inversion, result in significant noise amplification, lim...
Temporal fusion and heatmap regression for precise left ventricular parameter measurement in echocardiographic parasternal long-axis videos [0.03%]
基于超声心动图胸骨旁长轴视屏的左心室参数精确测量的时序融合与热力图回归方法
Yidi Chen,Chunjie Shan,Zhanru Qi et al.
Yidi Chen et al.
Background: Left ventricular geometric parameters are critical for diagnosing and prognosticating cardiovascular diseases. Currently, most measurement techniques rely on two-dimensional transthoracic echocardiography (TTE...
Noisy probing dose facilitated dose prediction for pencil beam scanning proton therapy: Physics enhances generalizability [0.03%]
基于噪声探针剂量的笔形束扫描质子治疗剂量预测物理方法提升普适性研究
Lian Zhang,Jason M Holmes,Xiao Zhang et al.
Lian Zhang et al.
Background: Accurate and efficient dose calculation is essential for online adaptive planning in proton therapy. Deep learning (DL) has shown promising dose prediction results for pencil beam scanning proton therapy (PBSP...
An experimental method for direct measurement of CT detector presampling MTF from reconstructed images [0.03%]
一种从重建图像直接测量CT探测器前置采样调制传递函数的实验方法
Linying Zhan,Frank Dong,Guang-Hong Chen et al.
Linying Zhan et al.
Background: Modulation transfer functions (MTFs) measured from reconstructed CT images conventionally represent the combined effects of detector blur, focal spot blur, gantry motion blur, and image reconstruction-induced ...
Development of a practical and high-speed deep learning-based dose calculation model in boron neutron capture therapy for head and neck cancer [0.03%]
用于头颈部癌症硼中子俘获疗法的实用且高速的基于深度学习的剂量计算模型的发展
Ryohei Kato,Noriyuki Kadoya,Takahiro Kato et al.
Ryohei Kato et al.
Background: In boron neutron capture therapy (BNCT), Monte Carlo (MC) dose calculations are commonly employed because of the complicated neutron reactions. However, MC dose calculations are generally time-consuming. Recen...