Echocardiographic Image Sequence Compression Based On Spatial Active Appearance Model
Sándor Miklós Szilágyi (Hungarian Science University of Transylvania, Romania), László Szilágyi (Hungarian Science University of Transylvania, Romania) and Zoltán Benyó (Budapest University of Technology and Economics, Hungary)
Copyright: © 2008
Echocardiography is a popular medical imaging modality due to its noninvasive and versatile behavior. There are no known side effects, and the measuring equipment is small and inexpensive relative to other options, such as MRI or CT. Reducing storage requirements and making data access user friendly are two important motivations for applying compression to ultrasound images, with the retention of diagnostic information being critical (Chiu, Vaisey, & Atkins, 2001).
Key Terms in this Chapter
ECG Analysis: A collection of ECG signal processing methods aiming at the determination of medical parameters.
Active Appearance Model (AAM): A computer vision algorithm for matching a statistical model of object shape and appearance to a new image.
Weighted Diagnostic Distortion: A weighted measurement of signal distortion in term of changes of medical parameters.
Hidden Markov Model (HMM): Astatistical model in which the system being modeled is assumed to be a Markov process with unknown parameters, and the challenge is to determine the hidden parameters from the observable parameters.
QRS Complex: A structure on the ECG signal that corresponds to the depolarization of the ventricles.
Image compression: Compression of the data contained by an images. The objective is to reduce the image’s redundancy, which assures an efficient storage or transmission of the recorded data.
Echocardiogram: Image of the heart created with ultrasound imaging technology.