Study on structural atrophy changes and functional connectivity measures in Alzheimer's disease [0.03%]
阿尔茨海默病结构萎缩变化及功能连接的研究
Saraswathi Subramanian,Karunanithi Rajamanickam,Joy Sebastian Prakash et al.
Saraswathi Subramanian et al.
Alzheimer's disease (AD) is characterized by the progressive accumulation of neurofibrillary tangles associated with amyloid plaques. We used 80 resting-state functional magnetic resonance imaging and 80 T 1 images acquired using MP-RA...
Deformable multisurface segmentation of the spine for orthopedic surgery planning and simulation [0.03%]
脊柱多表面可变形分割在骨科手术规划与仿真中的应用研究
Rabia Haq,Jérôme Schmid,Roderick Borgie et al.
Rabia Haq et al.
Purpose: We describe a shape-aware multisurface simplex deformable model for the segmentation of healthy as well as pathological lumbar spine in medical image data. Approach: This model provides an accurate and robust segmentation scheme fo...
Effects of variability in radiomics software packages on classifying patients with radiation pneumonitis [0.03%]
放射性肺炎患者分类的放射组学软件包变化的影响研究
Joseph J Foy,Samuel G Armato rd,Hania A Al-Hallaq
Joseph J Foy
Purpose: While radiomics feature values can differ when extracted using different radiomics software, the effects of these variations when applied to a particular clinical task are currently unknown. The goal of our study was to use various...
Minimally interactive placenta segmentation from three-dimensional ultrasound images [0.03%]
基于三维超声图像的胎盘分割
Ipek Oguz,Natalie Yushkevich,Alison Pouch et al.
Ipek Oguz et al.
Purpose: Placental size in early pregnancy has been associated with important clinical outcomes, including fetal growth. However, extraction of placental size from three-dimensional ultrasound (3DUS) requires time-consuming interactive segm...
Phase-contrast x-ray tomography of neuronal tissue at laboratory sources with submicron resolution [0.03%]
基于实验室光源的亚微米级神经组织相衬x射线层析成像技术
Marina Eckermann,Mareike Töpperwien,Anna-Lena Robisch et al.
Marina Eckermann et al.
Purpose: Recently, progress has been achieved in implementing phase-contrast tomography of soft biological tissues at laboratory sources. This opens up opportunities for three-dimensional (3-D) histology based on x-ray computed tomography (...
Automatic segmentation of brain tumor resections in intraoperative ultrasound images using U-Net [0.03%]
基于U-Net的术中超声脑肿瘤切除区域自动分割方法
François-Xavier Carton,Matthieu Chabanas,Florian Le Lann et al.
François-Xavier Carton et al.
To compensate for the intraoperative brain tissue deformation, computer-assisted intervention methods have been used to register preoperative magnetic resonance images with intraoperative images. In order to model the deformation due to tis...
SpineCloud: image analytics for predictive modeling of spine surgery outcomes [0.03%]
基于影像的脊柱手术预后预测模型分析系统
Tharindu De Silva,S Swaroop Vedula,Alexander Perdomo-Pantoja et al.
Tharindu De Silva et al.
Purpose: Data-intensive modeling could provide insight on the broad variability in outcomes in spine surgery. Previous studies were limited to analysis of demographic and clinical characteristics. We report an analytic framework called "Spi...
Quantitative and qualitative evaluation of deep learning automatic segmentations of corneal endothelial cell images of reduced image quality obtained following cornea transplant [0.03%]
评估深度学习自动分割角膜移植后图像质量下降的内皮细胞图像的定量和定性评价
Naomi Joseph,Chaitanya Kolluru,Beth A M Benetz et al.
Naomi Joseph et al.
We are developing automated analysis of corneal-endothelial-cell-layer, specular microscopic images so as to determine quantitative biomarkers indicative of corneal health following corneal transplantation. Especially on these images of var...
Measurement of the useful field of view for single slices of different imaging modalities and targets [0.03%]
测量不同成像模式和目标的单片有效视场大小
Miguel A Lago,Ioannis Sechopoulos,François O Bochud et al.
Miguel A Lago et al.
Purpose: With three-dimensional (3-D) images displayed as stacks of 2-D images, radiologists rely more heavily on vision away from their fixation point to visually process information, guide eye movements, and detect abnormalities. Thus the...
Integrating AI into radiology workflow: levels of research, production, and feedback maturity [0.03%]
人工智能在放射学工作流程中的整合：研究、生产和反馈成熟的层次
Engin Dikici,Matthew Bigelow,Luciano M Prevedello et al.
Engin Dikici et al.
We present a roadmap for integrating artificial intelligence (AI)-based image analysis algorithms into existing radiology workflows such that (1) radiologists can significantly benefit from enhanced automation in various imaging tasks due t...