the left column shows a widely used average intensity dataset (ICBM305) based on 305 young normal subjects, created by the International Consortium for Brain Mapping [39]; by contrast, the middle and right columns show average brain templates created from high-resolution 3D MRI scans of Alzheimer...
select article Evaluation of group-specific, whole-brain atlas generation using Volume-based Template Estimation (VTE): Application to normal and Alzheimer's populations Research articleAbstract only Evaluation of group-specific, whole-brain atlas generation using Volume-based Template Estimation (VTE): ...
A large subset of these lesions tends to be high grade tumors which portend poor progn... A Sayah,C Bencheqroun,K Bhuvaneshwar,... - 《Scientific Data》 被引量: 0发表: 2022年 CERMEP-IDB-MRXFDG: a database of 37 normal adult human brain [18F]FDG PET, T1 and FLAIR MRI, and ...
The vaginal microbiota of pregnant women who subsequently have spontaneous preterm labor and delivery and those with a normal delivery at term Background This study was undertaken to determine whether the vaginal microbiota of pregnant women who subsequently had a spontaneous preterm delivery is d......
Medical images such as ultrasound (US) and magnetic resonance imaging (MRI) are widely used in clinical diagnosis now. Automatic segmentation of medical images can provide pathological analysis for doctors and play a major part in modern and intelligent medical care. Since deep convolutional neural ...
Background Medical imaging became a standard in diagnosis and medical intervention for the visual representation of the functionality of organs and tissues. Through the increased availability and usage of modern medical imaging like Magnetic Resonance Imaging (MRI) or Computed Tomography (CT), the need...
(blurred and noisy) version y, i.e.,(1)y=Hx+n,where x is the original image, H is a linear operator representing, for example, the blur point spread function (PSF) (the identity operator in the case of denoising), and n is a sample of a zero-mean white Gaussian field of ...
Image enhancement, feature extraction and classification of rotator cuff tears using magnetic resonance imaging Most rotator cuff tears(RCT) rely upon magnetic resonance imaging(MRI) for their diagnosis. However, direct capture of magnetic resonance(MR) images lacks enhanced image processing leading to ...
Background Magnetic resonance imaging (MRI) is corrupted by Rician noise, which is image dependent and computed from both real and imaginary images. Rician noise makes image-based quantitative measurement difficult. The non-local means (NLM) filter has been proven to be effective against additive ...
Intensity is the distinguishing feature of each pixel which helps in differentiating the object from the background or one object from another object in an image. For example, suppose in a black & white or grayscale image, if the value of the intensity is the same for each pixel, then ...