Results 91 to 100 of about 6,451,023 (265)
Towards Fully Automated Segmentation of Rat Cardiac MRI by Leveraging Deep Learning Frameworks [PDF]
arXiv, 2021 Automated segmentation of human cardiac magnetic resonance datasets has been steadily improving during recent years. However, these methods are not directly applicable in preclinical context due to limited datasets and lower image resolution. Successful application of deep architectures for rat cardiac segmentation, although of critical importance for ...
arxiv
Radiolabeled bombesin derivatives for preclinical oncological imaging [PDF]
Biomedicine & Pharmacotherapy, 2017 Despite efforts, cancer is still one of the leading causes of morbidity and mortality worldwide, with approximately 14 million new cases and 8.2 million cancer-related deaths each year, according to the World Health Organization. Among the strategies to reduce cancer progression and improving its management, implementing early detection technologies is
Domenico Rubello +4 more
openaire +2 more sources
A Perspective on Deep Imaging [PDF]
arXiv, 2016 The combination of tomographic imaging and deep learning, or machine learning in general, promises to empower not only image analysis but also image reconstruction. The latter aspect is considered in this perspective article with an emphasis on medical imaging to develop a new generation of image reconstruction theories and techniques.
arxiv
Stored Luminescence Computed Tomography [PDF]
, 2013 The phosphor nanoparticles made of doped semiconductors, pre-excited by well-collimated X-ray radiation, were recently reported for their light emission upon NIR light stimulation. The characteristics of X-ray energy storage and NIR stimulated emission is highly desirable to design targeting probes and improve molecular and cellular imaging.
arxiv +1 more source
MoleculesUsing a molecular modeling approach for Tau-binding sites, we modified our previously reported imaging agent, [125I]INFT, for the potential improvement of binding properties to Tau in an Alzheimer’s disease (AD) brain.
Stephanie A. Sison +3 more
doaj +1 more source
NeuroImage, 2021 Functional connectivity (FC) and resting-state network (RSN) analyses using functional magnetic resonance imaging (fMRI) have evolved into a growing field of research and have provided useful biomarkers for the assessment of brain function in ...
Tudor M. Ionescu +6 more
doaj
Pharmaceuticals, 2014 Kryptofix® 2.2.2 (Kry) or tetrabutylammonium (TBA) are commonly used as phase transfer catalysts in 18F-radiopharmaceutical productions for positron emission tomography (PET).
Matthias Kuntzsch +5 more
doaj +1 more source
Ungated, plug-and-play preclinical cardiac CEST-MRI using radial FLASH with segmented saturation [PDF]
Purpose: ECG and respiratory-gated preclinical cardiac CEST-MRI acquisitions are difficult due to variable saturation recovery with T1, RF interference in the ECG signal, and offset-to-offset variation in Z-magnetization and cardiac phase introduced by changes in cardiac frequency and trigger delays.
arxiv +1 more source
Medical Physics (Lancaster), 2015 The development of multimodality preclinical imaging techniques and the rapid growth of realistic computer simulation tools have promoted the construction and application of computational laboratory animal models in preclinical research.
Tianwu Xie, H. Zaidi
semanticscholar +1 more source
BMC Zoology, 2017 Background Live imaging of whole invertebrates can be accomplished with X-ray micro-computed tomography (micro-CT) at 10-100 μm spatial resolution. However, image quality could be compromised by the movement of live subjects, producing image artefacts ...
Danny Poinapen +5 more
doaj +1 more source