Three-dimensionally-printed anthropomorphic physical phantom for mammography and digital breast tomosynthesis with custom materials, lesions, and uniform quality control region [0.03%]
一种用于乳腺摄影和数字乳腺断层合成的三维打印类人物理体模及其定制材料、病灶及均匀的质量控制区域
Andrea H Rossman,Matthew Catenacci,Christine Zhao et al.
Andrea H Rossman et al.
Anthropomorphic breast phantoms mimic patient anatomy in order to evaluate clinical mammography and digital breast tomosynthesis system performance. Our goal is to create a modular phantom with an anthropomorphic region to allow for improve...
Molecular imaging and validation of margins in surgically excised nonmelanoma skin cancer specimens [0.03%]
皮肤非黑色素瘤标本中分子影像及验证边缘状况
Yiqiao Liu,Ethan Walker,Sukanya Raj Iyer et al.
Yiqiao Liu et al.
In an effort to increase the efficiency and cure rate of nonmelanoma skin cancer (NMSC) excisions, we have developed a point-of-care method of imaging and evaluation of skin cancer margins. We evaluate the skin surgical specimens using a sm...
Model and human observer reproducibility for detection of microcalcification clusters in digital breast tomosynthesis images of three-dimensionally structured test object [0.03%]
三维结构测试对象的数字乳腺断层合成图像中微钙化群检测的模型和人工观察者再现性研究
Dimitar Petrov,Nicholas Marshall,Kenneth Young et al.
Dimitar Petrov et al.
We compare the reproducibility of the human observers and a channelized Hotelling observer (CHO), when reading digital breast tomosynthesis (DBT) images of a physical phantom containing a breast simulating structured background and calcific...
Initial evaluation of three-dimensionally printed patient-specific coronary phantoms for CT-FFR software validation [0.03%]
三维打印的患者特定冠状动脉替生物初步评价用于CT-FFR软件验证
Lauren M Shepard,Kelsey N Sommer,Erin Angel et al.
Lauren M Shepard et al.
We developed three-dimensionally (3D) printed patient-specific coronary phantoms that are capable of sustaining physiological flow and pressure conditions. We assessed the accuracy of these phantoms from coronary CT acquisition, benchtop ex...
Effective nuclei segmentation with sparse shape prior and dynamic occlusion constraint for glioblastoma pathology images [0.03%]
基于稀疏形状先验及动态遮挡约束的胶质母细胞瘤病理图像有效核分割方法
Pengyue Zhang,Fusheng Wang,George Teodoro et al.
Pengyue Zhang et al.
We propose a segmentation method for nuclei in glioblastoma histopathologic images based on a sparse shape prior guided variational level set framework. By spectral clustering and sparse coding, a set of shape priors is exploited to accommo...
Impact of prior information on material decomposition in dual- and multienergy computed tomography [0.03%]
先验信息对双能和多能量CT材料分解的影响
Liqiang Ren,Shengzhen Tao,Kishore Rajendran et al.
Liqiang Ren et al.
Prior information is often included in the basis material decomposition to solve the quantification problem of three-material mixtures in dual-energy computed tomography (DECT). Multienergy computed tomography (MECT) with more than two ener...
Bahaa Ghammraoui,Andrey Makeev,Ahmed Zidan et al.
Bahaa Ghammraoui et al.
The potential of dual-energy mammography for microcalcification classification was investigated with simulation and phantom studies. Classification of type I/II calcifications was performed using the tissue attenuation ratio as a performanc...
Ordered subset expectation maximization algorithm for positron emission tomographic image reconstruction using belief kernels [0.03%]
基于信念核的正电子发射断层图像有序子集期望最大化重建算法
Yang-Ming Zhu
Yang-Ming Zhu
The aim of this study is to investigate the benefits of incorporating prior information in list mode, time-of-flight (TOF) positron emission tomography (PET) image reconstruction using the ordered subset expectation maximization (OSEM) algo...
Fisher encoding of convolutional neural network features for endoscopic image classification [0.03%]
基于卷积神经网络特征的费舍尔编码在内窥镜图像分类中的应用研究
Georg Wimmer,Andreas Vécsei,Michael Häfner et al.
Georg Wimmer et al.
We propose an approach for the automated diagnosis of celiac disease (CD) and colonic polyps (CP) based on applying Fisher encoding to the activations of convolutional layers. In our experiments, three different convolutional neural network...
Local complexity metrics to quantify the effect of anatomical noise on detectability of lung nodules in chest CT imaging [0.03%]
局部复杂性指标定量解剖伪影对胸部CT成像中肺结节检出效果的影响
Taylor Brunton Smith,Geoffrey D Rubin,Justin Solomon et al.
Taylor Brunton Smith et al.
The purpose of this study is to (1) develop metrics to characterize the regional anatomical complexity of the lungs, and (2) relate these metrics with lung nodule detection in chest CT. A free-scrolling reader-study with virtually inserted ...