NASA Technology May Aid Interpretation Of Medical Imagery

[Date Prev] [Date Next] [Thread Prev] [Thread Next] [Date Index] [Thread Index]

 



Oct. 14, 2010

Sonja Alexander 
Headquarters, Washington      
202-358-1761 
sonja.r.alexander@xxxxxxxx 

Rani Gran/Sarah DeWitt 
Goddard Space Flight Center, Greenbelt, Md. 
301-286-2483/0535 
rani.c.gran@xxxxxxxx, sarah.l.dewitt@xxxxxxxx   


RELEASE: 10-261

NASA TECHNOLOGY MAY AID INTERPRETATION OF MEDICAL IMAGERY

GREENBELT, Md. -- NASA software used to enhance Earth science imagery 
could help interpret medical imagery. The new MED-SEG system, 
developed by Bartron Medical Imaging Inc. of Largo, Md., relies on an 
innovative software program developed at NASA to help doctors analyze 
mammograms, ultrasounds, digital X-rays and other medical imaging 
tests. 

"The use of this computer-based technology could minimize human error 
that occurs when evaluating radiologic films and might allow for 
earlier detection of abnormalities within the tissues being imaged," 
said Dr. Thomas Rutherford, director of Gynecologic Oncology at Yale 
University in New Haven, Conn. 

The Food and Drug Administration recently cleared the system for 
trained professionals to process images. These images can be used in 
radiologists' reports and communications, but the processed images 
should not be used for primary diagnosis. 

MED-SEG is a software device that receives medical images and data 
from various medical imaging sources. Images and data can be stored, 
communicated, processed and displayed within the system or across 
computer networks at distributed locations. 

The core of Bartron's MED-SEG system is a computer algorithm, the 
Hierarchical Segmentation Software, developed at NASA's Goddard Space 
Flight Center in Greenbelt, Md., by computer engineer James C. 
Tilton. He began working on his algorithm more than 25 years ago. 

His goal was to advance a totally new approach for analyzing digital 
images, which are made up of thousands of pixels. Like a single piece 
of a jigsaw puzzle, a pixel often does not provide enough information 
about where it fits in the overall scene. To overcome the deficiency, 
Tilton focused on an approach called image segmentation, which 
organizes and groups an image's pixels together at different levels 
of detail. Tilton's approach to image segmentation is different than 
others. It finds region objects, and also groups spatially separated 
region objects together into region classes. 

For example, an Earth satellite image may contain several lakes of 
different depths. Deep lakes appear dark blue, and shallow lakes are 
a lighter shade of blue. The software first finds each individual 
lake; then it groups together all shallow lakes into one class and 
the deeper lakes into another. Because lakes are more similar than 
they are to vegetation, roads, buildings, and other objects, the 
software groups all lakes together, regardless of their varying 
colors. As a result, the software allows the user to distinguish 
important features in the scene accurately and quickly. 

Bartron learned of the software through Goddard's Innovative 
Partnerships Program Office. In 2003 the company licensed the 
patented technology to create a system that would differentiate 
hard-to-see details in complex medical images. 

"Trained professionals can use the MED-SEG system to separate 
two-dimensional images into digitally related sections or regions 
that, after colorization, can be individually labeled by the user," 
explained Fitz Walker, president and CEO of Bartron Medical Imaging. 

Dr. Molly Brewer, a professor with the Division of Gynecologic 
Oncology at the University of Connecticut Health Center in 
Farmington, would like to do clinical trials with the MED-SEG system 
to improve mammography as a diagnostic tool for detecting breast 
cancer. 

"One problem with mammograms is they often give a false negative for 
detecting abnormalities in women's breasts," Brewer said. "Women who 
either have high breast density or a strong family history of breast 
cancer are often sent for MRIs, which are costly, very uncomfortable 
and have a high false positive rate resulting in many unnecessary 
biopsies. The MED-SEG processes the image allowing a doctor to see a 
lot more detail in a more quantitative way. This new software could 
save patients a lot of money by reducing the number of costly and 
unnecessary tests." 

For more information about Goddard's Innovative Partnerships Program 
Office, visit: 


http://ipp.gsfc.nasa.gov 


For more information about NASA partnerships, innovation and 
commercial space opportunities, visit: 


http://go.usa.gov/aDs 


For images and video of MED-SEG and NASA's software, visit: 


http://go.usa.gov/aWX   

	
-end-



To subscribe to the list, send a message to: 
hqnews-subscribe@xxxxxxxxxxxxxxxxxxxxxx
To remove your address from the list, send a message to:
hqnews-unsubscribe@xxxxxxxxxxxxxxxxxxxxxx

[Index of Archives]     [JPL News]     [Cassini News From Saturn]     [NASA Marshall Space Flight Center News]     [NASA Science News]     [James Web Space Telescope News]     [JPL Home]     [NASA KSC]     [NTSB]     [Deep Creek Hot Springs]     [Yosemite Discussion]     [NSF]     [Telescopes]

  Powered by Linux