Objective assessment of task performance: a comparison of two FFDM detectors using an anthropomorphic breast phantom [0.03%]
利用人体模型乳房体模客观评估任务性能的两种全乳腺X线摄影探测器比较研究
Andrey Makeev,Lynda C Ikejimba,Jesse Salad et al.
Andrey Makeev et al.
Current digital mammography systems primarily employ one of two types of detectors: indirect conversion, typically using a cesium-iodine scintillator integrated with an amorphous silicon photodiode matrix, or direct conversion, using a phot...
Image-domain multimaterial decomposition for dual-energy computed tomography with nonconvex sparsity regularization [0.03%]
基于非凸稀疏约束的双能量CT图像域多材料分解方法
Qihui Lyu,Daniel O&#x;Connor,Tianye Niu et al.
Qihui Lyu et al.
Dual-energy computed tomography (CT) has the potential to decompose tissues into different materials. However, the classic direct inversion (DI) method for multimaterial decomposition (MMD) cannot accurately separate more than two basis mat...
Liver segmentation and metastases detection in MR images using convolutional neural networks [0.03%]
基于卷积神经网络的肝脏分割及肝转移瘤检测方法研究（磁共振图像）
Mariëlle J A Jansen,Hugo J Kuijf,Maarten Niekel et al.
Mariëlle J A Jansen et al.
Primary tumors have a high likelihood of developing metastases in the liver, and early detection of these metastases is crucial for patient outcome. We propose a method based on convolutional neural networks to detect liver metastases. Firs...
Denoising and contrast-enhancement approach of magnetic resonance imaging glioblastoma brain tumors [0.03%]
用于改善胶质母细胞瘤磁共振图像对比度和降噪的方法
Hiba Mzoughi,Ines Njeh,Mohamed Ben Slima et al.
Hiba Mzoughi et al.
We investigate a new preprocessing approach for MRI glioblastoma brain tumors. Based on combined denoising technique (bilateral filter) and contrast-enhancement technique (automatic contrast stretching based on image statistical information...
Resolution characterization of a silicon-based, photon-counting computed tomography prototype capable of patient scanning [0.03%]
一种能够进行患者扫描的基于硅光子计数CT原型机的分辨率特性分析
Joakim da Silva,Fredrik Grönberg,Björn Cederström et al.
Joakim da Silva et al.
Photon-counting detectors are expected to bring a range of improvements to patient imaging with x-ray computed tomography (CT). One is higher spatial resolution. We demonstrate the resolution obtained using a commercial CT scanner where the...
Determination of iodine detectability in different types of multiple-energy images for a photon-counting detector computed tomography system [0.03%]
用于光子计数探测器CT系统的不同类型多能量图像中碘检出的确定性研究
Wei Zhou,Gregory Michalak,Jayse Weaver et al.
Wei Zhou et al.
In addition to low-energy-threshold images (TLIs), photon-counting detector (PCD) computed tomography (CT) can generate virtual monoenergetic images (VMIs) and iodine maps. Our study sought to determine the image type that maximizes iodine ...
Active learning strategy and hybrid training for infarct segmentation on diffusion MRI with a U-shaped network [0.03%]
主动学习策略和混合训练在弥散MRI上用U型网络进行梗死分割的方法
Aurélien Olivier,Olivier Moal,Bertrand Moal et al.
Aurélien Olivier et al.
Automatic and reliable stroke lesion segmentation from diffusion magnetic resonance imaging (MRI) is critical for patient care. Methods using neural networks have been developed, but the rate of false positives limits their use in clinical ...
Breast MRI radiomics for the pretreatment prediction of response to neoadjuvant chemotherapy in node-positive breast cancer patients [0.03%]
术前预测新辅助化疗后淋巴结阳性乳腺癌患者的影像组学响应预测模型
Karen Drukker,Alexandra Edwards,Christopher Doyle et al.
Karen Drukker et al.
The purpose of this study was to evaluate breast MRI radiomics in predicting, prior to any treatment, the response to neoadjuvant chemotherapy (NAC) in patients with invasive lymph node (LN)-positive breast cancer for two tasks: (1) predict...
Erratum: Prostate cancer detection from multi-institution multiparametric MRIs using deep convolutional neural networks system (Erratum) [0.03%]
前列腺癌检测的深度卷积神经网络系统多中心回顾性研究错误修正公告
Yohan Sumathipala,Nathan Lay,Baris Turkbey et al.
Yohan Sumathipala et al.
[This corrects the article DOI: 10.1117/1.JMI.5.4.044507.]. © 2019 Society of Photo-Optical Instrumentation Engineers (SPIE).
Optimization of the difference-of-Gaussian channel sets for the channelized Hotelling observer [0.03%]
差值高斯通道集的优化以应用于通道化霍泰林观察员模型中
Christiana Balta,Ramona W Bouwman,Mireille J M Broeders et al.
Christiana Balta et al.
The channelized-Hotelling observer (CHO) was investigated as a surrogate of human observers in task-based image quality assessment. The CHO with difference-of-Gaussian (DoG) channels has shown potential for the prediction of human detection...