Title :
Order selection criteria for detecting mean scatterer spacings with the AR model
Author :
Varghese, Tomy ; Donohue, Kevin D. ; Halpern, E.J.
Author_Institution :
Med. Sch., Texas Univ., Houston, TX, USA
Abstract :
This paper examines the detection of regular scatterer spacings from backscattered ultrasound using the autoregressive (AR) cepstrum. Monte Carlo simulations present a relationship between the probability of detection and the AR model order. An example using liver tissue data supports the observations made in the simulation.
Keywords :
Monte Carlo methods; acoustic signal detection; acoustic signal processing; autoregressive processes; backscatter; biomedical ultrasonics; cepstral analysis; liver; medical signal processing; probability; speckle; Monte Carlo simulations; ROC curves; autoregressive cepstrum; autoregressive model order; backscattered ultrasound; diagnostic ultrasound; in vivo scans; liver tissue data; mean scatterer spacings detection; optimal detection; order selection criteria; probability of detection; regular scatterer spacings; speckle scatterers; Biological tissues; Cepstral analysis; Cepstrum; Liver diseases; Monitoring; Portals; Scattering; Signal processing; Speckle; Ultrasonic imaging;
Journal_Title :
Ultrasonics, Ferroelectrics, and Frequency Control, IEEE Transactions on
