Welcome to the Amira-Avizo Software Use Case Gallery

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

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

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

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

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

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

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.

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

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