Noninvasive evaluation of local myocardial thickening and its color-coded imaging

Hiroshi Kanai, Hideyuki Hasegawa, Noriyoshi Chubachi, Yoshiro Koiwa, Motonao Tanaka

Research output: Contribution to journalArticlepeer-review

156 Citations (Scopus)


For the noninvasive diagnosis of heart disease based on the acoustic characteristics of the heart muscle, we have developed a new method for accurately tracking the movement of the heart wall. By this method, a velocity signal of the heart wall with a small amplitude of less than 10 μm on the motion resulting from a heartbeat with large amplitude of 10 mm can be successfully detected with sufficient reproducibility in the frequency range up to several hundred Hertz continuously for periods of about 10 heartbeats. In this paper, the method is applied to multiple points preset in the left ventricular (LV) wall along the ultrasonic beam so that the spatial (depth) distributions of the velocity at these points are simultaneously obtained. The motion of the heart wall is divided into the following two components: parallel global motion of the heart wall and the change in myocardial layer thickening at each depth across the LV wall during myocardial contraction/relaxation. The latter component is superimposed on the M (motion)-mode image using a color code to map contraction as red and expansion as blue. By preliminary human studies, the principle of the method proposed in this paper is verified and the frequency band of the components generated by thickening and/or thinning in the myocardium is identified. This new approach offers potential for research on noninvasive acoustical diagnosis of myocardial local motility, that is, the myocardial layer function at each depth in the ventricular wall.

Original languageEnglish
Pages (from-to)752-768
Number of pages17
JournalIEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
Issue number4
Publication statusPublished - 1997


Dive into the research topics of 'Noninvasive evaluation of local myocardial thickening and its color-coded imaging'. Together they form a unique fingerprint.

Cite this