John C Nouls,Rohan S Virgincar,Alexander G Culbert et al.
John C Nouls et al.
Three-dimensional (3D) printing has significantly impacted the quality, efficiency, and reproducibility of preclinical magnetic resonance imaging. It has vastly expanded the ability to produce MR-compatible parts that readily permit customi...
Calibration of fluorescence imaging for tumor surgical margin delineation: multistep registration of fluorescence and histological images [0.03%]
荧光影像校准在肿瘤手术边缘界定中的应用：荧光与组织学图像的多步骤配准
Yang Jiang,Emily J Girard,Fiona Pakiam et al.
Yang Jiang et al.
Although a greater extent of tumor resection is important for patients' survival, complete tumor removal, especially tumor margins, remains challenging due to the lack of sensitivity and specificity of current surgical guidance techniques a...
Task-driven source-detector trajectories in cone-beam computed tomography: II. Application to neuroradiology [0.03%]
基于任务的锥形束CT源检测器轨迹：II．神经放射学中的应用
Sarah Capostagno,J Webster Stayman,Matthew Jacobson et al.
Sarah Capostagno et al.
We apply the methodology detailed in "Task-driven source-detector trajectories in cone-beam computed tomography: I. Theory and methods" by Stayman et al. for task-driven optimization of source-detector orbits in cone-beam computed tomograph...
Radiomics-based convolutional neural network for brain tumor segmentation on multiparametric magnetic resonance imaging [0.03%]
基于影像组学的卷积神经网络在多模态磁共振脑肿瘤影像分割中的应用研究
Prateek Prasanna,Ayush Karnawat,Marwa Ismail et al.
Prateek Prasanna et al.
Accurate segmentation of gliomas on routine magnetic resonance image (MRI) scans plays an important role in disease diagnosis, prognosis, and patient treatment planning. We present a fully automated approach, radiomics-based convolutional n...
Tyler Bowman,Nagma Vohra,Keith Bailey et al.
Tyler Bowman et al.
Terahertz imaging and spectroscopy characterization of freshly excised breast cancer tumors are presented in the range 0.15 to 3.5 THz. Cancerous breast tissues were obtained from partial or full removal of malignant tumors while healthy br...
Deep learning-based three-dimensional segmentation of the prostate on computed tomography images [0.03%]
基于深度学习的CT图像前列腺三维分割
Maysam Shahedi,Martin Halicek,James D Dormer et al.
Maysam Shahedi et al.
Segmentation of the prostate in computed tomography (CT) is used for planning and guidance of prostate treatment procedures. However, due to the low soft-tissue contrast of the images, manual delineation of the prostate on CT is a time-cons...
Task-driven source-detector trajectories in cone-beam computed tomography: I. Theory and methods [0.03%]
锥束CT中的任务驱动型源检测器轨迹(I):理论与方法
J Webster Stayman,Sarah Capostagno,Grace J Gang et al.
J Webster Stayman et al.
We develop a mathematical framework for the design of orbital trajectories that are optimal to a particular imaging task (or tasks) in advanced cone-beam computed tomography systems that have the capability of general source-detector positi...
Higher-order singular value decomposition-based lung parcellation for breathing motion management [0.03%]
基于高阶奇异值分解的呼吸运动管理肺分割方法
Samadrita Roy Chowdhury,Joyita Dutta
Samadrita Roy Chowdhury
Positron emission tomography (PET) imaging of the lungs is confounded by respiratory motion-induced blurring artifacts that degrade quantitative accuracy. Gating and motion-compensated image reconstruction are frequently used to correct the...
Three-dimensional conditional random field for the dermal-epidermal junction segmentation [0.03%]
三维条件随机场在真皮-表皮连接处分割中的应用
Julie Robic,Benjamin Perret,Alex Nkengne et al.
Julie Robic et al.
The segmentation of the dermal-epidermal junction (DEJ) in in vivo confocal images represents a challenging task due to uncertainty in visual labeling and complex dependencies between skin layers. We propose a method to segment the DEJ surf...
Elizabeth A Krupinski,Sue Astley,Robert Marti et al.
Elizabeth A Krupinski et al.
This guest editorial introduces the special section on Advances in Breast Imaging.