Welcome to the Amira-Avizo Software Use Case Gallery
Below you will find a collection of use cases of our 3D data visualization and analysis software. These use cases include scientific publications, articles, papers, posters, presentations or even videos that show how is used to address various scientific and industrial research topics.
Use the Domain selector to filter by main application area, and use the Search box to enter keywords related to specific topics you are interested in.
Access to MRI is limited for patients with DBS implants due to safety hazards, including radiofrequency heating of tissue surrounding the leads. Computational models provide an exquisite tool to explore the multi-variate problem of RF implant heating. We used a computational approach to assess RF heating around tips of bilateral DBS leads during MRI at 1.5T and 3T using realistic DBS lead models. A substantial difference was found between the SAR and temperature rise at the tip of right and l... Read more
Laleh Golestanirad, John Kirsch, Giorgio Bonmassar, Sean Downs, Behzad Elahi, Alastair Martin, Maria-Ida Iacono, Leonardo M. Angelone, Boris Keil, Lawrence L. Wald, Julie Pilitsis
Aneurysm wall enhancement has been proposed as a biomarker for inflammation and instability. However, the mechanisms of aneurysm wall enhancement remain unclear. We used 7T MR imaging to determine the effect of flow in different regions of the wall.
Twenty-three intracranial aneurysms imaged with 7T MR imaging and 3D angiography were studied with computational fluid dynamics. Local flow conditions were compared between aneurysm wall enhancement and nonenhanced regions. Aneurysm wall en... Read more
S. Hadad, F. Mut, B.J. Chung, J.A. Roa, A.M. Robertson, D.M. Hasan, E.A. Samaniego and J.R. Cebral
Deep brain stimulation (DBS) requires accurate localization of the anatomical target structure, and the precise placement of the DBS electrode within it. Ultra-high field 7 Tesla (T) MR images can be utilized to create patient-specific anatomical 3D models of the subthalamic nuclei (STN) to enhance pre-surgical DBS targeting as well as post-surgical visualization of the DBS lead position and orientation. We validated the accuracy of the 7T imaging-based patient-specific model of the STN and m... Read more
Yuval Duchin, Reuben R. Shamir, Remi Patriat, Jinyoung Kim, Jerrold L. Vitek, Guillermo Sapiro, Noam Harel
Dogs have recently become an important model species for comparative social and cognitive neuroscience. Brain template-related label maps are essential for functional magnetic resonance imaging (fMRI) data analysis, to localize neural responses. In this study, we present a detailed, individual-based, T1-weighted MRI-based brain label map used in dog neuroimaging analysis. Methods: A typical, medium-headed dog (a 7.5-year-old
male Golden Retriever) was selected from a cohort of ... Read more
Czeibert Kálmán, Andics Attila, Petneházy Örs, Kubinyi Enikő, Kálmán Czeibert
The purpose of the study is the development and evaluation of the informativeness of the author’s 3D nephrometric score application to predict the probability of intraoperative and postoperative complications in kidney operations.
The study includes 264 patients who underwent surgical treatment of renal tumors, before that CT and 3D modeling were carried out. All patients underwent an analysis of the surgical intervention complexity on the C-index, PADUA, R.E.N.A.L., and developed 3D... Read more
Georgiy Andreevich Mashin, Vasiliy Vladimirovich Kozlov, Denis Vladimirovich Chinenov, Yaroslav Nikolaevich Chernov, Alexandra Vladimirovna Proskura, Dmitry Olegovich Korolev , Dmitry Georgievich Tsarichenko, Leonid Mikhailovich Rapoport and Evgeniy Valerievich Shpot
Blast-induced traumatic brain injury has been associated with neurodegenerative and neuropsychiatric disorders. To date, although damage due to oxidative stress appears to be important, the specific mechanistic causes of such disorders remain elusive. Here, to determine the mechanical variables governing the tissue damage eventually cascading into cognitive deficits, we performed a study on the mechanics of rat brain under blast conditions. To this end, experiments were carried out to analyse... Read more
Daniel Garcia-Gonzalez, Nicholas S. Race, Natalie L. Voets, Damian R. Jenkins, Stamatios N. Sotiropoulos, Glen Acosta, Marcela Cruz-Haces, Jonathan Tang, Riyi Shi & Antoine Jérusalem
Benjamin K Hendricks, MD Akash J Patel, MD Jerome Hartman Mark F Seifert, PhD Aaron Cohen-Gadol, MD, MSc, MBA
The aim of this study was to validate geometric accuracy and in vivo reproducibility of landmark-based cephalometric measurements using high-resolution 3D Magnetic Resonance Imaging (MRI) at 3 Tesla. (…) In conclusion, this study demonstrates that accurate and reproducible 3D cephalometric analysis can be performed without exposure to ionizing radiation using MRI.Read more
Alexander Juerchott, Muhammad Abdullah Saleem, Tim Hilgenfeld, Christian Freudlsperger, Sebastian Zingler, Christopher J. Lux, Martin Bendszus & Sabine Heiland
Classification and delineation of the motor-related nuclei in the human thalamus have been the focus of numerous discussions for a long time. Difficulties in finding consensus have for the most part been caused by paucity of direct experimental data on connections of individual nuclear entities. Kultas-Ilinsky et al. (2011, J Comp Neurol, 519:2811-2837) showed that distribution of the isoform 65 of glutamic acid decarboxylase (GAD65), the enzyme that synthesizes inhibitory neurotransmitt... Read more
Igor Ilinsky, Andreas Horn, Perrine Paul-Gilloteaux, Pierre Gressens, Catherine Verney, Kristy Kultas-Ilinsky
Food and detergent products are composed of complex micro structures. With modern microscopic techniques we can make them visible. The microstructure greatly affects macroscopic properties such as appearance, taste, mouth feel and solubility. Making these structures visible and quantifying them is essential to the development of products with optimal product properties. A broad range of imaging techniques is used to visualize microstructure elements at different length scales. For example, X-... Read more
Gerard van Dalen, Unilever R&D Vlaardingen (The Netherlands)
The CHEFF (Computational Heat Fluid Flow) Research group at Florida Agricultural & Mechanical University is using computational fluid dynamics to model flow and heat transfer in various engineering applications for industry, government and the private sector. The primary goal of this research is to first examine and then enhance the thermal performance of current and future low-density reticulated porous media, and explore their use as heat sinks in high power electronics (computer chips... Read more
CHEFF Research Group at Florida Agricultural & Mechanical University: Dr. G.D. Wesson, Professor of Chemical Engineering/Biological Agricultural Systems Engineering, Shawn Austin (Graduate student), Shari Briggs (Graduate student), Mellissa McCole (Graduate student), David Mosley (Graduate student)