This work was aimed at studying the method of computer-aided diagnosis of early knee OA (OA: osteoarthritis). Based on the technique of MRI (MRI: Magnetic Resonance Imaging) T2 Mapping, through computer image processing, feature extraction, calculation and analysis via constructing a classifier, ...
low field MR images, including labeled in accordance with the severity of the trabecular bone degenerative disease to be suffering from or after or suffering currently, the trabecular bone region, Analysis based method to extract diagnostic information from the low field MR image, the computer image...
In the last decade, computer-aided early diagnostics of Alzheimer's Disease (AD) and its prodromal form, Mild Cognitive Impairment (MCI), has been the subject of extensive research. Some recent studies have shown promising results in the AD and MCI determination using structural and functional Ma...
Single magnetic resonance imaging (MRI) images are calledslices(薄层断面). The images can be stored on a computer or printed onfilm(胶片). One exam produces dozens or sometimes hundreds of images. How the Test is Performed 检查如何进...
The high computational cost is mainly driven by traditional computer vision algorithms and their dependency on multi-step preprocessing. Recently, advances in machine learning have offered opportunities to accelerate brain image processing. For example, Henschel et al. proposed a “FastSurfer” pipeline ...
This was compared with two automated and two manual techniques on two separate treatment planning systems. Accuracy and reproducibility were analysed using a measure of target registration error (TRE) that was based on the average distance of the mis-registration between vertices of the clinically ...
Tech rep ISUHCI20062, Human Computer Interaction Department, Iowa State Univ; 2006. Google Scholar [9] A. Hamamci, et al. Tumor-Cut: segmentation of brain tumors on contrast enhanced MR images for radiosurgery applications IEEE Trans Med Imaging, 31 (3) (2012), pp. 790-804 View in Scopu...
arXiv: Computer Vision and Pattern Recognition | September 2021 , Vol arXiv:2109.03812 Download BibTex Improving speed and image quality of Magnetic Resonance Imaging (MRI) via novel reconstruction approaches remains one of the highest impact applications for deep le...
In this work, we have proposed a novel reconstruction method, named CINENet, for 3D cardiac CINE MRI based on a deep learning network which enables highly accelerated imaging sequences. We found that employing the proposed CINENet allows for 3D isotropic CINE acquisition in a single breath-hold...
Optimization (currently required for some functions, working to remove this requirement) Computer: Some of the processing is very CPU intensive, a modern multi-core (≥4) processor, while not required, helps keep the processing time reasonable (heavily dependent on image matrix size). ...