Clinical test cases for commissioning, QA, and benchmarking of model-based dose calculation algorithms in 1⁹2Ir HDR gynecologic tandem and ring brachytherapy [0.03%]
用于192铱HDR妇科阴道塞和环腔内治疗基于模型剂量计算算法的验收、质控及基准测试临床案例
Vasiliki Peppa,Maude Robitaille,Fatemeh Akbari et al.
Vasiliki Peppa et al.
Purpose: To develop clinically relevant test cases for commissioning Model-Based Dose Calculation Algorithms (MBDCAs) for 192Ir High Dose Rate (HDR) gynecologic brachytherapy following the workflow proposed by the TG-186 ...
High-resolution scintillation imaging for detecting delivery errors in preclinical ultrahigh dose rate proton beam therapy [0.03%]
高分辨闪烁成像检测预临床超高剂量率质子束治疗递送错误的研究
Megan Clark,Roman Vasyltsiv,David Gladstone et al.
Megan Clark et al.
Background: Ultrahigh dose rate (UHDR) pencil beam scanning (PBS) proton therapy represents an emerging treatment modality that potentially reduces normal-tissue toxicities, termed the FLASH effect. Despite rapid clinical...
Computationally efficient x-ray simulation framework using parameterized material attenuation models in anatomically detailed imaging [0.03%]
基于参数化材料吸收模型的计算有效X射线模拟框架在解剖细节丰富的成像中的应用
Martina Nassi,Mikhail Mikerov,Koen Michielsen et al.
Martina Nassi et al.
Background: Virtual clinical trials provide an efficient alternative to clinical imaging trials for evaluating imaging technologies. In x-ray simulations, however, modeling material-specific attenuation becomes computatio...
Myelopathy in rats after exposure to clinically relevant ions: A predictive NTCP modeling framework [0.03%]
基于临床相关离子暴露后的 rat 脊髓病变化：一个预测的 NTCP 建模框架
Alessio Parisi,Keith M Furutani,Chris J Beltran
Alessio Parisi
Background: Toxicities to organs at risk adjacent to the target volume represent a critical limitation to dose escalation in radiotherapy. While external beam therapy with accelerated ions allows for a reduced dose to sur...
An exploratory study on integrating radiomics with vision transformers for enhancing medical imaging classification accuracy [0.03%]
一种结合放射组学与视觉变换器以增强医学影像分类准确性的探索性研究
Zhenyu Yang,Rihui Zhang,Haiming Zhu et al.
Zhenyu Yang et al.
Background: Medical image analysis has witnessed substantial advancements through recent deep learning (DL) algorithms development. Vision Transformers (ViTs) have emerged as a powerful alternative solution by leveraging ...
A novel population-based input function integral estimation method for [Formula: see text] parametric imaging with shortened dynamic [Formula: see text] -FDG PET scans [0.03%]
一种新型基于人群的输入函数积分估算方法，可缩短[Formula: see text]参数成像的动态[Formula: see text]-FDG PET扫描时间
Lingxin Chen,Yaping Wu,Zixiang Chen et al.
Lingxin Chen et al.
Background: Dynamic positron emission tomography (PET) is a powerful tool for clinical tumor diagnosis. However, the conventional dynamic scanning duration takes about 60 m i n $min$ , which is inconvenient for patients...
Detector-specific correction factors for small-field photon dosimetry in magnetic resonance-guided radiation therapy: A systematic review and meta-analysis [0.03%]
磁共振引导放射治疗小射野光子剂量学的探测器校正因子系统评价和荟萃分析
Muhammed Emin Bedir,Ahtesham Ullah Khan,Wesley Culberson
Muhammed Emin Bedir
Background: Accurate small-field (SF) dosimetry is essential for Magnetic Resonance-guided Radiation Therapy (MRgRT), particularly for stereotactic treatments. The static magnetic field (B-field) alters detector response,...
Benchtop 2D multi-pinhole x-ray fluorescence imaging system using a high energy resolution pixelated cadmium zinc telluride detector [0.03%]
一种利用高能量分辨率的CdZnTe像素化探测器进行二维多孔径X射线荧光成像的台式系统
Taeyun Kim,Mingi Eom,Matthew D Wilson et al.
Taeyun Kim et al.
Background: X-ray fluorescence (XRF) imaging is a promising modality for quantitative molecular imaging that allows for the in vivo biodistribution detection of specific elements within biological systems. Despite its pot...
Image enhancement for accelerated MRI using a joint GAN and diffusion model framework [0.03%]
基于联合生成对抗网络和扩散模型框架的加速MRI图像增强技术
Quan Zhong,Shipai Zhu,Jinrong He et al.
Quan Zhong et al.
Background: Magnetic resonance imaging (MRI) is a defining feature of magnetic resonance image-guided radiotherapy (MRigRT), providing superior soft-tissue contrast compared to conventional cone beam CT (CBCT). However, c...
Deep learning-based severity grading of Meniere's disease using 2D MRI [0.03%]
基于深度学习的梅尼埃病二维MRI严重程度分级
Zheng Wang,Yang Xue,Yongjia Chen et al.
Zheng Wang et al.
Background: Meniere's disease (MD) is a complex inner ear disorder characterized by symptoms such as vertigo, hearing loss, tinnitus, and ear fullness, significantly impacting patients' quality of life. Current diagnostic...