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Imaging modalities to diagnose carotid artery stenosis: progress and prospect

Ashish Saxena, Eddie Yin Kwee Ng, Soo Teik Lim
2019 BioMedical Engineering OnLine  
He is the Editor-in-Chief for the ISI Journal of Mechanics in Medicine and Biology and the Founding Editor-in-Chief for the ISI-indexed Journal of Medical Imaging and Health Informatics.  ...  He is currently working on the development of passive and active thermographic methods (tools/device) to perform patient screening for cardiovascular-related diseases.  ...  In CTA, slicebased imaging of the 3D body is done, wherein a series of 2D slice (of defined thickness) images are generated for the whole 3D body.  ... 
doi:10.1186/s12938-019-0685-7 fatcat:ldj3fyf5wnahfnckvmsu4rqkru

Automated registration of 3D x-ray angiography images to magnetic resonance images

Erwan Kerrien, Olivier Levrier, Rene Anxionnat, Sylvain Sauty, Jerome Knoplioch, Milan Sonka, Kenneth M. Hanson
2001 Medical Imaging 2001: Image Processing  
A maximum error of 4 mm was measured for our automated algorithm while variations of up to 5 mm were considered on the initial point location.  ...  The registration procedure starts with the manual designation of a pre-defined anatomical point in both modalities.  ...  Registration algorithm Initialization and hypothesis The identification of a vessel bifurcation on the circle of Willis is very easy in MR as well as in 3DXA.  ... 
doi:10.1117/12.431136 dblp:conf/miip/KerrienLASK01 fatcat:2sc7xf54rbcphokvvsond2pkdm

The promise of fully-integrated PET/MR imaging: Non-invasive clinical quantification of cerebral glucose metabolism

Lalith Kumar Shiyam Sundar, Otto Muzik, Lucas Rischka, Andreas Hahn, Rupert Lanzenberger, Marius Hienert, Eva Maria Klebermass, Martin Bauer, Ivo Rausch, Ekaterina Pataraia, Tatjana Traub-Weidinger, Thomas Beyer
2019 Journal of Nuclear Medicine  
We describe a fully automated processing pipeline to support the noninvasive absolute quantification of the cerebral metabolic rate for glucose (CMRGlc) in a clinical setting.  ...  The developed pipeline allows the derivation of an image-derived input function (IDIF), which is subsequently used to create CMRGlc maps by means of a Patlak analysis.  ...  Finally, because of the difference in sampling locations (ICA for the IDIF and radial arteries for the AIF), a monoexponential dispersion function with a tau value of 5 s (24,25) was convolved with the  ... 
doi:10.2967/jnumed.119.229567 pmid:31375567 pmcid:PMC8801961 fatcat:lhvppn666ngrpja6guesbgq6xi

Novel Angiographic Scores for evaluation of Large Vessel Vasculitis

Enrico Tombetti, Claudia Godi, Alessandro Ambrosi, Frances Doyle, Alana Jacobs, Allan P. Kiprianos, Taryn Youngstein, Katie Bechman, Angelo A. Manfredi, Ben Ariff, Justin C. Mason
2018 Scientific Reports  
Increases ≥1 in any score were specific for arterial disease progression. The scores objectively quantify arterial involvement in LVV, providing precise definition of disease phenotype and evolution.  ...  Arterial involvement is the cardinal feature of large-vessel vasculitis (LVV) and prevention of disease progression is the principal therapeutic goal.  ...  Acknowledgements We sincerely thank Federica Godi for the support in preparing figures. We would like to acknowledge the late Professor Paul Bacon for his insights, advice and support.  ... 
doi:10.1038/s41598-018-34395-7 pmid:30374116 pmcid:PMC6206009 fatcat:erm3y6dgzvh5rpkk7ehglm62cq

MR Imaging in the 21st Century: Technical Innovation over the First Two Decades

Hiroyuki Kabasawa
2021 Magnetic Resonance in Medical Sciences  
New technologies outside of the MRI field, for example, computer science, data processing, and semiconductors, have been immediately incorporated into MRI development, which resulted in innovative applications  ...  We will discuss the progress of MRI systems, the enabling technology, established applications, current trends, and the future outlook.  ...  studies have been conducted, including pseudo-CT image synthesis from MR images for attenuation correction, 16, 17 lung imaging with zero TE, 18 arterial spin labeling cross-validation, 19 and whole-body  ... 
doi:10.2463/mrms.rev.2021-0011 pmid:33867419 pmcid:PMC9199974 fatcat:fxkxeeipazf37dvhzeerowdb4q

A method for the analysis of the geometrical relationship between white matter pathology and the vascular architecture of the brain

Dorota Kozinska, Christopher M Holland, Karl Krissian, Carl-Fredrik Westin, Charles R.G Guttmann
2004 NeuroImage  
The distance and radius maps are used to analyze the distribution of lesions with respect to the vessels' locations and their calibers.  ...  A novel method for the visual and quantitative analysis of the geometrical relationship between the vascular architecture of the brain and white matter pathology is presented.  ...  Acknowledgments This work was supported in part by grants NS-35142 and RR13218-01 from the National Institute of Health (NIH) and from the National Center for Research Resources (NCRR).  ... 
doi:10.1016/j.neuroimage.2004.04.014 pmid:15275923 fatcat:usvngh4hlrdihlbbqb6fzq5lim

BRAVE-NET: Fully Automated Arterial Brain Vessel Segmentation in Patients With Cerebrovascular Disease

Adam Hilbert, Vince I. Madai, Ela M. Akay, Orhun U. Aydin, Jonas Behland, Jan Sobesky, Ivana Galinovic, Ahmed A. Khalil, Abdel A. Taha, Jens Wuerfel, Petr Dusek, Thoralf Niendorf (+3 others)
2020 Frontiers in Artificial Intelligence  
Fully automated vessel segmentation integrated into the clinical routine could facilitate the time-critical diagnosis of vessel abnormalities and might facilitate the identification of valuable biomarkers  ...  Non-invasive neuroimaging techniques, such as time-of-flight (TOF) magnetic resonance angiography (MRA) imaging are applied in the clinical routine to depict arteries.  ...  DISCUSSION We present the BRAVE-NET model for fully automated arterial vessel segmentation from TOF-MRA images in cerebrovascular disease.  ... 
doi:10.3389/frai.2020.552258 pmid:33733207 pmcid:PMC7861225 fatcat:x3wnuik3lnbwhaphwt37mic7ja

BRAVE-NET: Fully Automated Arterial Brain Vessel Segmentation In Patients with Cerebrovascular Disease [article]

Adam Hilbert, Vince I Madai, Ela M Akay, Orhun U Aydin, Jonas Behland, Jan Sobesky, Ivana Galinovic, Ahmed A Khalil, Abdel A Taha, Jens W&uumlrfel, Petr Dusek, Thoralf Niendorf (+3 others)
2020 biorxiv/medrxiv   pre-print
Fully automated vessel segmentation integrated into the clinical routine could facilitate the time-critical diagnosis of vessel abnormalities and might facilitate the identification of valuable biomarkers  ...  Noninvasive neuroimaging techniques such as time-of-flight (TOF) magnetic resonance angiography (MRA) imaging are applied in the clinical routine to depict arteries.  ...  the BRAVE-NET model for fully automated arterial vessel segmentation from TOF-MRA images in cerebrovascular disease.  ... 
doi:10.1101/2020.04.08.20057570 fatcat:3nrdcmon4fbgvl7fih4uyw5jpe

Investigating the oxygenation of brain arteriovenous malformations using quantitative susceptibility mapping

Emma Biondetti, Alvaro Rojas-Villabona, Magdalena Sokolska, Francesca B. Pizzini, Hans Rolf Jäger, David L. Thomas, Karin Shmueli
2019 NeuroImage  
Because of this anatomy, the venous drainage of an AVM is hypothesized to contain more oxygenated, arterialized blood than healthy veins.  ...  By exploiting the paramagnetic properties of deoxygenated hemoglobin in venous blood using magnetic resonance imaging (MRI) quantitative susceptibility mapping (QSM), we aimed to explore venous density  ...  The figure shows the same transverse slice of the coregistered gad-TOF MRA image (a) and the map (b) and the same transverse slice (in a location similar to (a) and (b)) of the MIP of the coregistered  ... 
doi:10.1016/j.neuroimage.2019.05.014 pmid:31075392 fatcat:mnrxgkjifngpxfy5vfhq4sadw4

A Visualization System for the Clinical Evaluation of Cerebral Aneurysms from MRA Data [article]

James S. Perrin, A. Lacey, R. Laitt, A. Jackson, Nigel W. John
2001 Eurographics State of the Art Reports  
The software has been designed to meet the specific needs of interventional neuro-radiologists evaluating the suitability of intracranial aneurysms for endovascular coiling and also when planning the procedure  ...  This paper details a work-in-progress application under development as part of a clinical visualization project.  ...  Acknowledgements This project is funded by the The Sir Jules Thorn Charitable Trust.  ... 
doi:10.2312/egs.20011038 fatcat:nivt4cbqkrg2hcnpuc2g544kcu

Advances in Deep Learning-Based Medical Image Analysis

Xiaoqing Liu, Kunlun Gao, Bo Liu, Chengwei Pan, Kongming Liang, Lifeng Yan, Jiechao Ma, Fujin He, Shu Zhang, Siyuan Pan, Yizhou Yu
2021 Health Data Science  
This paper reviewed the recent progress of deep learning research in medical image analysis and clinical applications.  ...  With the booming growth of artificial intelligence (AI), especially the recent advancements of deep learning, utilizing advanced deep learning-based methods for medical image analysis has become an active  ...  Acknowledgments This study was supported in part by grants from the Zhejiang Provincial Key Research & Development Program (No. 2020C03073).  ... 
doi:10.34133/2021/8786793 fatcat:d6nkb4yoxrcgni4y5owju5pnh4

Review of Journal of Cardiovascular Magnetic Resonance 2009

D J Pennell, D N Firmin, P J Kilner, W J Manning, R H Mohiaddin, S Neubauer, S K Prasad
2010 Journal of Cardiovascular Magnetic Resonance  
We have therefore chosen to briefly summarise the papers in this article for quick reference for our readers in broad areas of interest, which we feel will be useful to practitioners of cardiovascular  ...  I hope that you find the open-access system increases wider reading and citation of your papers, and that you will continue to send your quality manuscripts to JCMR for publication.  ...  Authors' contributions All authors contributed summaries of articles to the text. DJP wrote the final draft. All authors read and approved the final manuscript. Author Details  ... 
doi:10.1186/1532-429x-12-15 pmid:20302618 pmcid:PMC2847562 fatcat:h76rsqgdebfxzn7g7ozvxfxbhe

Segmentation of Soft atherosclerotic plaques using active contour models [article]

Muhammad Moazzam Jawaid
2016 arXiv   pre-print
This similarity in intensity makes the isolation and detection of soft plaques very difficult. This work aims to develop framework for segmentation of vulnerable plaques with minimal user dependency.  ...  Detection of non-calcified plaques in the coronary tree is a challenging problem due to the nature of comprising substances.  ...  Automatic Segmentation of Coronary Arteries and Detection of Stenosis The focus of this work [95] was to design a fully automated framework for identification of coronary artery plaques by highlighting  ... 
arXiv:1608.00116v1 fatcat:5h6n3ervbze47b6oiit66ro4qq

Acute Stroke Imaging Part II: The Ischemic Penumbra

K. Butcher, D. Emery
2010 Canadian Journal of Neurological Sciences  
This second article in a two-part series reviews current evidence for penumbral-based treatment selection and discusses the barriers to implementation of these advanced imaging techniques in acute stroke  ...  Despite the availability of both CT and MRI based techniques to detect and assess the penumbra, advanced imaging of this type remains under-utilized.  ...  of Canada and Alberta, NWT, and Nunavut.  ... 
doi:10.1017/s0317167100009604 fatcat:gelhseqhync2re6j2dw7nokoi4

MIDA: A Multimodal Imaging-Based Detailed Anatomical Model of the Human Head and Neck

Maria Ida Iacono, Esra Neufeld, Esther Akinnagbe, Kelsey Bower, Johanna Wolf, Ioannis Vogiatzis Oikonomidis, Deepika Sharma, Bryn Lloyd, Bertram J. Wilm, Michael Wyss, Klaas P. Pruessmann, Andras Jakab (+6 others)
2015 PLoS ONE  
Multiple voxel-and surface-based whole-and partial-body models have been proposed in the literature, typically with spatial resolution in the range of 1-2 mm and with 10-50 different tissue types resolved  ...  Computational modeling and simulations are increasingly being used to complement experimental testing for analysis of safety and efficacy of medical devices.  ...  of Health and Human Services.  ... 
doi:10.1371/journal.pone.0124126 pmid:25901747 pmcid:PMC4406723 fatcat:hqm5m7h73rhchdzqpapd7b5p34
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