Overcoming detector limitations of x-ray photon counting for preclinical microcomputed tomography [0.03%]
克服微计算机断层扫描前临床x射线光子计数检测器限制
Matthew Holbrook,Darin P Clark,Cristian T Badea
Matthew Holbrook
Spectral computed tomography (CT) using photon counting detectors (PCDs) can provide accurate tissue composition measurements by utilizing the energy dependence of x-ray attenuation in different materials. PCDs are especially suited for K-e...
Deep convolutional neural networks for the automated segmentation of malignant pleural mesothelioma on computed tomography scans [0.03%]
基于卷积神经网络的计算机断层扫描图像中恶性胸膜间皮瘤自动分割方法研究
Eyjolfur Gudmundsson,Christopher M Straus,Samuel G Armato rd
Eyjolfur Gudmundsson
Tumor volume has been a topic of interest in the staging, prognostic evaluation, and treatment response assessment of malignant pleural mesothelioma (MPM). Deep convolutional neural networks (CNNs) were trained separately for the left and r...
Interchangeability between real and three-dimensional simulated lung tumors in computed tomography: an interalgorithm volumetry study [0.03%]
基于CT的实体与三维模拟肺肿瘤互换性容积研究
Marthony Robins,Justin Solomon,Jocelyn Hoye et al.
Marthony Robins et al.
Using hybrid datasets consisting of patient-derived computed tomography (CT) images with digitally inserted computational tumors, we establish volumetric interchangeability between real and computational lung tumors in CT. Pathologically-co...
Integration of spatial information in convolutional neural networks for automatic segmentation of intraoperative transrectal ultrasound images [0.03%]
基于卷积神经网络的空间信息整合的术中经直肠超声图像自动分割方法
Nooshin Ghavami,Yipeng Hu,Ester Bonmati et al.
Nooshin Ghavami et al.
Image guidance systems that register scans of the prostate obtained using transrectal ultrasound (TRUS) and magnetic resonance imaging are becoming increasingly popular as a means of enabling tumor-targeted prostate cancer biopsy and treatm...
Signal template generation from acquired images for model observer-based image quality analysis in mammography [0.03%]
基于模型观察者的乳腺摄影图像质量分析中的从获得图像生成信号模板
Christiana Balta,Ramona W Bouwman,Wouter J H Veldkamp et al.
Christiana Balta et al.
Mammography images undergo vendor-specific processing, which may be nonlinear, before radiologist interpretation. Therefore, to test the entire imaging chain, the effect of image processing should be included in the assessment of image qual...
Characterization of office laser printers for 3-D printing of soft tissue CT phantoms [0.03%]
用于软组织CT模型的三维打印的办公激光打印机表征
Andreas Gerbl,Marcel Lewin,Tim Zeiske et al.
Andreas Gerbl et al.
The purpose of our study is to develop and evaluate a method for radiopaque 3-D printing (R3P) of soft tissue computed tomography (CT) phantoms with office laser printers. Five laser printers from different vendors are tested for toner CT a...
Risk analysis, ideal observers, and receiver operating characteristic curves for tasks that combine detection and estimation [0.03%]
结合检测与估计任务的风险分析、理想观察者和接收机工作特性曲线
Eric Clarkson
Eric Clarkson
Previously published work on joint estimation/detection tasks has focused on the area under the estimation receiver operating characteristic (EROC) curve as a figure of merit (FOM) for these tasks in imaging. Another FOM for these joint tas...
Prostate zonal segmentation in 1.5T and 3T T2W MRI using a convolutional neural network [0.03%]
基于卷积神经网络的前列腺 zones 在1.5T和3T T2WI上的分割
Carina Jensen,Kristine Storm Sørensen,Cecilia Klitgaard Jørgensen et al.
Carina Jensen et al.
Zonal segmentation of the prostate gland using magnetic resonance imaging (MRI) is clinically important for prostate cancer (PCa) diagnosis and image-guided treatments. A two-dimensional convolutional neural network (CNN) based on the U-net...
Fluid-attenuated inversion recovery MRI synthesis from multisequence MRI using three-dimensional fully convolutional networks for multiple sclerosis [0.03%]
基于三维全卷积网络的多发性硬化症多序列MRI融合生成FLAIR影像技术
Wen Wei,Emilie Poirion,Benedetta Bodini et al.
Wen Wei et al.
Multiple sclerosis (MS) is a white matter (WM) disease characterized by the formation of WM lesions, which can be visualized by magnetic resonance imaging (MRI). The fluid-attenuated inversion recovery (FLAIR) MRI pulse sequence is used cli...
Comparison of contrast-enhanced digital mammography and contrast-enhanced digital breast tomosynthesis for lesion assessment [0.03%]
对比增强数字乳腺摄影和对比增强数字乳腺断层合成在病灶评估中的比较研究
Hailiang Huang,David A Scaduto,Chunling Liu et al.
Hailiang Huang et al.
Contrast-enhanced digital mammography (CEDM) reveals neovasculature of breast lesions in a two-dimensional contrast enhancement map. Contrast-enhanced digital breast tomosynthesis (CEDBT) provides contrast enhancement in three dimensions, w...