TY - GEN
T1 - Robust level set for heart cavities detection in ultrasound images
AU - Mora, M.
AU - Tauber, C.
AU - Batatia, H.
PY - 2006/2/6
Y1 - 2006/2/6
N2 - The class of geometric deformable models, also known as level sets, has brought tremendous impact on medical imagery due to its capability of topology preservation and fast shape recovery. Ultrasonic heart images are often characterized by high level of speckle noise causing erroneous detection of cavities. We propose a new stopping term for computing level sets in order to robustly detect the heart cavities in echocardiographic images. Robustness is ensured by the use of the coefficient of variation. Experimental results show significant improvement, especially for images acquired with low frequencies.
AB - The class of geometric deformable models, also known as level sets, has brought tremendous impact on medical imagery due to its capability of topology preservation and fast shape recovery. Ultrasonic heart images are often characterized by high level of speckle noise causing erroneous detection of cavities. We propose a new stopping term for computing level sets in order to robustly detect the heart cavities in echocardiographic images. Robustness is ensured by the use of the coefficient of variation. Experimental results show significant improvement, especially for images acquired with low frequencies.
UR - http://www.scopus.com/inward/record.url?scp=33847092572&partnerID=8YFLogxK
U2 - 10.1109/CIC.2005.1588080
DO - 10.1109/CIC.2005.1588080
M3 - Conference contribution
AN - SCOPUS:33847092572
SN - 0780393376
SN - 9780780393370
T3 - Computers in Cardiology
SP - 235
EP - 238
BT - Computers in Cardiology 2005
PB - IEEE
T2 - Computers in Cardiology 2005
Y2 - 25 September 2005 through 28 September 2005
ER -