We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

MedImaging

Download Mobile App
Recent News Radiography MRI Ultrasound Nuclear Medicine General/Advanced Imaging Imaging IT Industry News

New Imaging Approach Combines MRI, CT and Optical Microscopy Images to Create Stunning 3D Visualizations of Blood Vessels

By MedImaging International staff writers
Posted on 01 Mar 2022

Scientists have developed a new method for making blood vessels visible, from the smallest cells to the largest organs.

Researchers at Johns Hopkins Medicine (Baltimore, MD, USA) have developed and tested a new imaging approach they say will accelerate imaging-based research in the lab by allowing investigators to capture images of blood vessels at different spatial scales. Tested in mouse tissues, the method, dubbed “VascuViz,” includes a quick-setting polymer mixture to fill blood vessels and make them visible in multiple imaging techniques. The approach enables researchers to visualize the structure of a tissue’s vasculature, which in conjunction with detailed mathematical models or complementary images of other tissue elements can clarify the complex role of blood flow in health and disease. The combined images of the blood vessels should not only enhance the study of the biology of diseases that involve abnormalities in blood flow, such as cancer and stroke, but also advance our understanding of the structures and functions of tissues throughout the body.


Image: VascuViz imaging pipeline (Photo courtesy of Johns Hopkins Medicine)
Image: VascuViz imaging pipeline (Photo courtesy of Johns Hopkins Medicine)

Researchers use many different imaging methods, such as MRI, CT and microscopy to study the role of blood vessels in the lab. These images are useful for understanding the dynamics of how tissues develop disease or respond to treatment. However, integrating the data available in these images has remained a challenge because agents used to make a blood vessel visible to one imaging method can make it invisible on other tools. This limits the amount of data researchers can gather from a single sample.

VascuViz overcomes this problem by making the structure of the largest arteries to the smallest microvasculature visible to a variety of imaging tools, which allows researchers to develop a multilayered understanding of blood vessels and related tissue components with less time and effort. The development of VascuViz is particularly useful in creating computerized visualizations of how complex biological systems such as the circulatory system work, and is a hallmark of the growing field of “image-based” vascular systems biology.

To create VascuViz, the researchers tested several combinations of existing imaging agents and their suitability for different imaging methods. After multiple iterations, they found that a CT contrast agent named BriteVu and a fluorescently labeled MRI contrast agent called Galbumin-Rhodamine could be combined to create a compound that makes the macro- and microvasculature simultaneously visible when imaging with MRI, CT and optical imaging techniques without interference. With the compound working in test tubes, the researchers then tested it in a variety of mouse tissues, perfusing it through the vascular system of breast cancer models, leg muscles, the brain and kidney tissues. The resulting images of the tissues acquired with MRI, CT and optical microscopy were then combined to create stunning 3D visualizations of the vasculature and associated components comprising these disease model and organ systems. Due to VascuViz’s affordability and commercially available components, the research team hopes that it is globally adopted by scientists to help shed new light on different diseases involving the vasculature.

“Now, rather than using an approximation, we can more precisely estimate features like blood flow in actual blood vessels and combine it with complementary information, such as cell density,” said Akanksha Bhargava, Ph.D., postdoctoral fellow in the Pathak Lab within the Department of Radiology and Radiological Science at the Johns Hopkins University School of Medicine.

Related Links:
Johns Hopkins Medicine


Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
New
1.5T MRI System
uMR 670
New
Breast Imaging Workstation
SecurView
New
Illuminator
Trimline Basic

Latest General/Advanced Imaging News

PET Scans Reveal Hidden Inflammation in Multiple Sclerosis Patients

Artificial Intelligence Evaluates Cardiovascular Risk from CT Scans

New AI Method Captures Uncertainty in Medical Images