Spectral DSA

Case ID:
C17762
Disclosure Date:
2/13/2023

Unmet Need

CT angiography with digital subtraction (DSA) is the standard diagnostic imaging method for cardiovascular abnormalities (1). This technique captures images both before and after injection of radiopaque contrast; images are then subtracted from one another, leaving only contrast enhanced vasculature in the final image. While DSA is the gold standard for many vascular applications, its ability to discriminate very small blood vessels (i.e., <1mm) is limited. Such vessels are important in a number of clinical scenarios (e.g., vascular malformation, tumors, brain vasospasm, brain vasculitis). The inability to clearly visualize small vessels in these scenarios exposes patients to repeat catheterization procedures and increased risk of misdiagnosis. Therefore, there is a clear need to develop angiography techniques that allow for improve visualization of small vessels.

Value Proposition

·        Enhanced spatial resolution, allowing for better discrimination of small vasculature.

·        Improved contrast resolution, allowing for better discrimination between contrast and overlying background anatomical structures.

·        Reduced noise in image capture with no increase to radiation exposure for patients.

 

Technology Description

·        Researchers at Johns Hopkins have developed an angiography method that allows for reliable visualization of vasculature <1mm in diameter.

·        This technique simultaneously processes pre-contrast and post-contrast angiography images.

·        This joint processing approach produces high-resolution images with less noise, minimizing the need for additional contrast injections or catheterization procedures.

 

Stage of Development

·        Proof of concept


Publication:

N/A

Patent Information:
Title App Type Country Serial No. Patent No. File Date Issued Date Expire Date Patent Status
SPECTRAL DIGITAL SUBTRACTION ANGIOGRAPHY PRO: Provisional United States 63/513,651   7/14/2023     Pending
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For Information, Contact:
Lisa Schwier
lschwie2@jhu.edu
410-614-0300
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