Title :
Maximum likelihood motion estimation in ultrasound image sequences
Author :
Strintzis, Michael G. ; Kokkinidis, Isaac
Author_Institution :
Dept. of Electr. & Comput. Eng., Thessaloniki Univ., Greece
fDate :
6/1/1997 12:00:00 AM
Abstract :
Maximum likelihood (ML) techniques are defined for optimum block matching to enable motion estimation sequences of ultrasound B-mode images. Such motion estimation is needed as a diagnostic tool in medical use of ultrasound imagery. It is also needed for the efficient compression of sequences of ultrasound images. The novel ML block matching techniques correspond to accurate statistical descriptions of ultrasound images, and are evaluated experimentally using sequences of transesophageal ultrasound images of the heart.
Keywords :
biomedical ultrasonics; cardiology; data compression; image matching; image sequences; maximum likelihood estimation; medical image processing; motion estimation; ultrasonic imaging; ML block matching; diagnostic tool; heart; image compression; maximum likelihood motion estimation; medical use; motion estimation sequences; optimum block matching; statistical descriptions; transesophageal ultrasound images; ultrasound B-mode images; ultrasound image sequences; ultrasound imagery; Additive noise; Biomedical imaging; Image coding; Image sequences; Maximum likelihood estimation; Motion estimation; Pixel; Probability density function; Statistics; Ultrasonic imaging;
Journal_Title :
Signal Processing Letters, IEEE
