16 papers · ranked by Valyu relevance
Kaiyan Li, Prabhat Kc, Hua Li, Kyle J. Myers + 2 more
'Rongping Zeng'] Medical imaging systems are commonly assessed and optimized by the use of objective measures of image quality (IQ). The performance of the ideal observer (IO) acting on imaging measurements has long been advocated as a figure-of-merit to guide the optimization of imaging systems. For computed imaging…
Kaiyan Li, Umberto Villa, Hua Li, Mark A. Anastasio
Purpose The performance of the ideal observer (IO) acting on imaging measurements has long been advocated as a figure-of-merit (FOM) to guide the optimization of imaging systems. For computed imaging systems, the performance of the IO acting on imaging measurements also sets an upper bound on task-performance that no…
Michael de Ridder, Karsten Klein, Jinman Kim
Analysis of functional magnetic resonance imaging (fMRI) plays a pivotal role in uncovering an understanding of the brain. fMRI data contain both spatial volume and temporal signal information, which provide a depiction of brain activity. The analysis pipeline, however, is hampered by numerous uncertainties in many of…
Guohua Shen, Tomoyasu Horikawa, Kei Majima, Yukiyasu Kamitani + 1 more
"Jill O'Reilly"] The mental contents of perception and imagery are thought to be encoded in hierarchical representations in the brain, but previous attempts to visualize perceptual contents have failed to capitalize on multiple levels of the hierarchy, leaving it challenging to reconstruct internal imagery. Recent work…
Xiaohui Zhang, Varun A. Kelkar, Jason Granstedt, Hua Li + 1 more
'Mark A. Anastasio'] Title: Abstract. Purpose: Deep learning-based image super-resolution (DL-SR) has shown great promise in medical imaging applications. To date, most of the proposed methods for DL-SR have only been assessed using traditional measures of image quality (IQ) that are commonly employed in the field of…
Xurong Li, Jingxi Li, Yuhang Li, Aydogan Ozcan + 1 more
Many exciting terahertz imaging applications, such as non-destructive evaluation, biomedical diagnosis, and security screening, have been historically limited in practical usage due to the raster-scanning requirement of imaging systems, which impose very low imaging speeds. However, recent advancements in terahertz…
Fuzhen Zeng, Jingwan Fang, Amanjule Muhashi, Huafeng Liu
Background Simultaneous dual-tracer positron emission tomography (PET) imaging can observe two molecular targets in a single scan, which is conducive to disease diagnosis and tracking. Since the signals emitted by different tracers are the same, it is crucial to separate each single tracer from the mixed signals. The…
Charly Caredda, Laurent Mahieu-Williame, Raphaël Sablong, Michaël Sdika + 7 more
'Michaël Sdika' 'Fabien C. Schneider' 'Jacques Guyotat' 'Bruno Montcel' 'Michele Diana' 'Ines Gockel' 'Manuel Barberio' 'Boris Jansen-Winkeln'] RGB optical imaging is a marker-free, contactless, and non-invasive technique that is able to monitor hemodynamic brain response following neuronal activation using task-based…
Rebecca Keogh, Johanna Bergmann, Joel Pearson, Thorsten Kahnt + 1 more
'Floris P de Lange'] Mental imagery provides an essential simulation tool for remembering the past and planning the future, with its strength affecting both cognition and mental health. Research suggests that neural activity spanning prefrontal, parietal, temporal, and visual areas supports the generation of mental…
Tomoyasu Horikawa, Yukiyasu Kamitani
Stimulus images can be reconstructed from visual cortical activity. However, our perception of stimuli is shaped by both stimulus-induced and top-down processes, and it is unclear whether and how reconstructions reflect top-down aspects of perception. Here, we investigate the effect of attention on reconstructions…
Rong Chen, Zhongqiu Wang, Yuanjie Zheng
Medical image analysis is performed in order to facilitate medical research and ultimately provide better healthcare. It is critical to the advancement of imaging-based medical research, for example, using magnetic resonance (MR) imaging to probe brain structural and functional changes related to a disease or cognitive…
Shuo Chen, Chenggao Luo, Hongqiang Wang, Bin Deng + 2 more
'Zhaowen Zhuang'] As a promising radar imaging technique, terahertz coded-aperture imaging (TCAI) can achieve high-resolution, forward-looking, and staring imaging by producing spatiotemporal independent signals with coded apertures. However, there are still two problems in three-dimensional (3D) TCAI. Firstly, the…
Matthew B. Wall, David Birch, May Y. Yong
Neuroimaging experiments can generate impressive volumes of data and many images of the results. This is particularly true of multi-modal imaging studies that use more than one imaging technique, or when imaging is combined with other assessments. A challenge for these studies is appropriate visualisation of results in…
Martin Cenek, Masa Hu, Gerald York, Spencer Dahl
In recent years, a number of new products introduced to the global market combine intelligent robotics, artificial intelligence and smart interfaces to provide powerful tools to support professional decision making. However, while brain disease diagnosis from the brain scan images is supported by imaging robotics, the…
Ali Fawzi, Anusha Achuthan, Bahari Belaton, Dimiter Prodanov + 1 more
Brain image segmentation is one of the most time-consuming and challenging procedures in a clinical environment. Recently, a drastic increase in the number of brain disorders has been noted. This has indirectly led to an increased demand for automated brain segmentation solutions to assist medical experts in early…
Thomas M. Deserno (né Lehmann), Heinz Handels, Klaus H. Maier-Hein (né Fritzsche), Sven Mersmann + 4 more
'Klaus H. Maier-Hein (né Fritzsche)' 'Sven Mersmann' 'Christoph Palm' 'Thomas Tolxdorff' 'Gudrun Wagenknecht' 'Thomas Wittenberg'] Medical image processing provides core innovation for medical imaging. This paper is focused on recent developments from science to applications analyzing the past fifteen years of history…