25 papers · ranked by Valyu relevance
Emin Serin, Kerstin Ritter, Gunter Schumann, Tobias Banaschewski + 2 more
Task-based functional magnetic resonance imaging (tb-fMRI) reveals individual differences in the neural basis of cognitive functions by linking specific tasks to neural responses. However, scaling tb-fMRI to population-level studies is challenging due to its cognitive demands, variations in task design across studies…
Abhinav K. Jha, Kyle J. Myers, Nancy A. Obuchowski, Ziping Liu + 4 more
'Ashequr Rahman' 'Babak Saboury' 'Arman Rahmim' 'Barry A. Siegel'] 1 Department of Biomedical Engineering, Washington University in St. Louis, MO, USA 2 Mallinckrodt Institute of Radiology, Washington University in St. Louis, MO, USA 3 Alvin J. Siteman Cancer Center, Washington University in St. Louis, MO, USA 4 Center…
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…
Adrian A. Sánchez
| | LIST OF FIGURES | | viii | | --- | --- | --- | --- | | | LIST OF TABLES | | xvi | | | | ACKNOWLEDGMENTS | xvii | | | ABSTRACT | xviii | | | 1 | | INTRODUCTION | 1 | | | 1.1 | Background: Computed Tomography | 3 | | | | 1.1.1 An Imaging Model for CT | 3 | | | | 1.1.2 Fan-Beam CT Reconstruction - The FBP Algorithm |…
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…
Fan Li, Arun Iyengar, Lanyu Xu
—In the field of medical imaging, AI-assisted techniques such as object detection, segmentation, and classification are widely employed to alleviate the workload of physicians and doctors. However, single-task models are predominantly used, overlooking the shared information across tasks. This oversight leads to…
M.N. Hebart, B.B. Bankson, A. Harel, C.I. Baker + 1 more
Object recognition is commonly described as a feedforward process, yet the tasks we carry out often affect what information in visual stimuli is diagnostic and may influence their processing. Surprisingly little is known about how task context is processed and when and how it interacts with the emerging representation…
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…
Authors not listed
nDTomo is a Python-based software suite for the simulation, reconstruction and analysis of X-ray chemical imaging and computed tomography data. It provides a collection of Python function-based tools designed for accessibility and education as well as a graphical user interface (GUI). Prioritising transparency and ease…
Dorin Comaniciu, Klaus Engel, Bogdan Georgescu, Tommaso Mansi
Medical images constitute a source of information essential for disease diagnosis, treatment and follow-up. In addition, due to its patient-specific nature, imaging information represents a critical component required for advancing precision medicine into clinical practice. This manuscript describes recently developed…
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…
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…
Amirali Molaei, Amirhossein Aminimehr, Armin Tavakoli, Amirhossein Kazerouni + 3 more
'Amirhossein Kazerouni' 'Bobby Azad' 'Reza Azad' 'Dorit Merhof'] Implicit neural representations (INRs) have gained prominence as a powerful paradigm in scene reconstruction and computer graphics, demonstrating remarkable results. By utilizing neural networks to parameterize data through implicit continuous functions…
Hongyang Dong, Simon D.M. Jacques, Winfried Kockelmann, Stephen W. T. Price + 10 more
Hongyang Dong 3 , Simon D.M. Jacques 1 , Winfried Kockelmann 4 , Stephen W. T. Price 1 , Robert Emberson 5 , Dorota Matras 6,7 , Yaroslav Odarchenko 1 , Vesna Middelkoop 10 , Athanasios Giokaris 1 , Olof Gutowski 8 , Ann-Christin Dippel 8 , Martin v. Zimmermann 8 , Andrew M. Beale 3 , Keith T. Butler 9 , Antonis…
Authors not listed
Battery research increasingly relies on advanced imaging, yet open access to such data remains rare, scattered across various sources, and difficult to find. The Battery Imaging Library (BIL) is the first open, curated collection of multi-modal and multi-length scale battery imaging datasets, accompanied by a…
Jussi Alho, Athanasios Gotsopoulos, Juha Silvanto
Conscious experiences normally result from the flow of external input into our sensory systems. However, we can also create conscious percepts independently of sensory stimulation. These internally generated percepts are referred to as mental images, and they have many similarities with real visual percepts.…
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…
Kelsey Hatzell, Yanjie Zheng
X-ray Computed Tomography (CT) is a non-invasive, non-destructive approach to imaging materials, material systems and engineered components in two- and three- dimensions. Acquisition of 3D images requires the collection of hundreds or thousands of through-thickness X-ray radiographic images from different angles. Such…
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…
K. Seeliger, U. Güçlü, L. Ambrogioni, Y. Güçlütürk + 1 more
We explore a method for reconstructing visual stimuli from brain activity. Using large databases of natural images we trained a deep convolutional generative adversarial network capable of generating gray scale photos, similar to stimUli presented during two functional magnetic resonance imaging experiments. Using a…
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…
Sophia M. Shatek, Tijl Grootswagers, Amanda K. Robinson, Thomas A. Carlson
Mental imagery is the ability to generate images in the mind in the absence of sensory input. Both perceptual visual processing and internally generated imagery engage large, overlapping networks of brain regions. However, it is unclear whether they are characterized by similar temporal dynamics. Recent…
Vladimir Shalgunov, Sara Irence Lopes van den Broek, Ida Vang Andersen, Rocío García Vázquez + 12 more
Vladimir Shalgunov 1 , Sara Lopes van den Broek 1 , Ida Vang Andersen 1 , Rocío García Vázquez 1 , Nakul Raval 1 , Mikael Palner 1 , Yuki Mori 1 , Gabriela Schäfer 2 , Hannes Mikula 3 , Natalie Beschorner 1 , Maiken Nedergaard 1 , Stina Syvänen 4 , Matthias Barz 2 , Gitte Moos Knudsen 1 , Umberto Maria Battisti 1 …
Hang Hu, Jyothsna Padmakumar Bindu, Julia Laskin
Mass spectrometry imaging (MSI) is widely used for the label-free molecular mapping of biological samples. The identification of co-localized molecules in MSI data is crucial to the understanding of biochemical pathways. However, complex MSI data are too large for manual annotation but too small for training deep…
Naoko Koide-Majima, Shinji Nishimoto, Kei Majima
Visual images perceived by humans can be reconstructed from their brain activity. However, the visualization (externalization) of mental imagery remains a challenge. In this study, we demonstrated that the visual image reconstruction method proposed in the seminal study by Shen et al. (2019) heavily relied on low-level…