Principles of Vascular Imaging

2021 ◽  
pp. 53-61
Author(s):  
Veronica Lenge de Rosen
Keyword(s):  
2008 ◽  
Vol 5 (1) ◽  
pp. 252-269
Author(s):  
Giovanni Malferrari ◽  
Marialuisa Zedde ◽  
Norina Marcello
Keyword(s):  

2021 ◽  
pp. jnnp-2020-324005
Author(s):  
Klaus Fassbender ◽  
Fatma Merzou ◽  
Martin Lesmeister ◽  
Silke Walter ◽  
Iris Quasar Grunwald ◽  
...  

Since its first introduction in clinical practice in 2008, the concept of mobile stroke unit enabling prehospital stroke treatment has rapidly expanded worldwide. This review summarises current knowledge in this young field of stroke research, discussing topics such as benefits in reduction of delay before treatment, vascular imaging-based triage of patients with large-vessel occlusion in the field, differential blood pressure management or prehospital antagonisation of anticoagulants. However, before mobile stroke units can become routine, several questions remain to be answered. Current research, therefore, focuses on safety, long-term medical benefit, best setting and cost-efficiency as crucial determinants for the sustainability of this novel strategy of acute stroke management.


Author(s):  
Lydia M. Zopf ◽  
Patrick Heimel ◽  
Stefan H. Geyer ◽  
Anoop Kavirayani ◽  
Susanne Reier ◽  
...  

AbstractTumor vasculature and angiogenesis play a crucial role in tumor progression. Their visualization is therefore of utmost importance to the community. In this proof-of-principle study, we have established a novel cross-modality imaging (CMI) pipeline to characterize exactly the same murine tumors across scales and penetration depths, using orthotopic models of melanoma cancer. This allowed the acquisition of a comprehensive set of vascular parameters for a single tumor. The workflow visualizes capillaries at different length scales, puts them into the context of the overall tumor vessel network and allows quantification and comparison of vessel densities and morphologies by different modalities. The workflow adds information about hypoxia and blood flow rates. The CMI approach includes well-established technologies such as magnetic resonance imaging (MRI), positron emission tomography (PET), computed tomography (CT), and ultrasound (US), and modalities that are recent entrants into preclinical discovery such as optical coherence tomography (OCT) and high-resolution episcopic microscopy (HREM). This novel CMI platform establishes the feasibility of combining these technologies using an extensive image processing pipeline. Despite the challenges pertaining to the integration of microscopic and macroscopic data across spatial resolutions, we also established an open-source pipeline for the semi-automated co-registration of the diverse multiscale datasets, which enables truly correlative vascular imaging. Although focused on tumor vasculature, our CMI platform can be used to tackle a multitude of research questions in cancer biology.


2017 ◽  
Author(s):  
En Li ◽  
Shuichi Makita ◽  
Young-Joo Hong ◽  
Deepa Kasaragod ◽  
Yoshiaki Yasuno

2003 ◽  
Vol 30 (11) ◽  
pp. 3018-3028 ◽  
Author(s):  
Arundhuti Ganguly ◽  
Stephen Rudin ◽  
Daniel R. Bednarek ◽  
Kenneth R. Hoffmann ◽  
Iacovos S. Kyprianou

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