Image processing software increases the visibility of catheters

Aug. 1, 2013
Agfa HealthCare’s has developed an image processing software called MUSICA2 that increases the visibility of catheters and other low contrast, tube-like structures in digital radiology.

Agfa HealthCare’s has developed an image processing software called MUSICA2 that increases the visibility of catheters and other low contrast, tube-like structures in digital radiology.

Radiographic evaluation of peripherally-inserted central catheter (PICC) line placement has always been a challenging aspect of critically-ill patient care, so MUSICA2’s advanced image processing capabilities make the process much easier for the clinician and the patient, said Greg Cefalo, US Digital Imaging Unit Business Manager, Agfa HealthCare.

"Dense areas in the radiograph and/or complex anatomical structures can easily mask the PICC line, making it difficult and time consuming to verify the exact placement,” he said in the press release. “We've created a special version of MUSICA2 image processing that instantly enhances the catheter detail, causing the line to pop in the image and be clearly identified; this eliminates time-consuming re-processing and more importantly, can reduce the need for additional patient exposures."

Propriety image processing algorithms in the software are tuned to enhance the visibility of the catheter in a way that improves edge and tip detection. It shows soft tissue and boney detail in a single image across the entire dynamic range, without having to make manual adjustments. The software then creates a second image with the enhanced detail so there is little or no need for manual reprocessing, which not only saves time, but also lowers the patient dose and exposure.

In addition, MUSICA2 software analyzes the characteristics of each image and optimizes by the processing independent of user input and exposure levels. It is also unaffected by the presence of collimation of X-ray exposure in the image background.

View the Agfa HealthCare press release.

Also check out:
Algorithm automatically detects polyps in images captured by camera pills
Robot uses infrared camera, lighting to draw blood
Goggles equipped with infrared camera help diagnose strokes

Share your vision-related news by contacting James Carroll, Senior Web Editor, Vision Systems Design

To receive news like this in your inbox, click here.

About the Author

James Carroll

Former VSD Editor James Carroll joined the team 2013.  Carroll covered machine vision and imaging from numerous angles, including application stories, industry news, market updates, and new products. In addition to writing and editing articles, Carroll managed the Innovators Awards program and webcasts.

Voice Your Opinion

To join the conversation, and become an exclusive member of Vision Systems Design, create an account today!