Gray level models for segmenting myocardium and blood in cardiac ultrasound images

Author

Tao, Zhong ; Beaty, James ; Jaffe, C.Carl ; Tagare, Hemant D.

Author_Institution

Dept. of Diagnostic Radiol., Yale Univ., New Haven, CT, USA

fYear

2002

fDate

2002

Firstpage

265

Lastpage

268

Abstract

Suggests some simple empirical models for first-order speckle statistics for use in segmentation of cardiac ultrasound images. The models are created by analyzing over 100 images obtained from commercial ultrasound machines in clinical settings. Four families of scalable distributions are compared with image data using goodness-of-fit and misclassification tests. Following the analysis, one of families is chosen as the appropriate model. Preliminary segmentation results are also reported.

Keywords

acoustic signal processing; biomedical ultrasonics; blood; cardiology; gamma distribution; image classification; image segmentation; medical image processing; physiological models; speckle; Gamma distribution; blood; cardiac ultrasound images; clinical settings; commercial ultrasound machines; first-order speckle statistics; goodness-of-fit; gray level models; image data; misclassification tests; myocardium; scalable distribution families; segmentation; simple empirical models; Blood; Computed tomography; Image analysis; Image segmentation; Myocardium; Radiology; Speckle; Statistical distributions; Testing; Ultrasonic imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Imaging, 2002. Proceedings. 2002 IEEE International Symposium on

Print_ISBN

0-7803-7584-X

Type

conf

DOI

10.1109/ISBI.2002.1029244

Filename

1029244