Biomedical subjects

Yinbo Li

Publications and source records attributed to Yinbo Li.

3 recordsLinked to original sources

PubMed2006

3D perfusion mapping in post-infarct mice using myocardial contrast echocardiography.

Myocardial contrast echocardiography (MCE) was used to construct three-dimensional maps of perfusion defects in closed-chest mice, with and without myocardial infarction (MI) induced by permanent coronary ligation. Contiguous, short-axis MCE cine images spanning the heart from apex to base were acquired at 1 mm elevations in each mouse. MCE images at each elevation were color-coded to indicate relative perfusion and were compared with postmortem histology. A strong correlation (R > 0.93) in the size of perfused areas was observed between in vivo measurements and the results of conventional ex vivo tissue staining. 3D multislice and 3D surface renderings of perfusion distribution were created and these perfusion maps also matched well with postmortem histology. These methods provide for the noninvasive determination of the total ischemic region placed at risk by coronary occlusion: this is a critical variable in assessing the potential of novel therapeutic agents to reduce MI size in murine models of ischemia/reperfusion injury.

Animals↗

PubMed2005

A phantom with reduced complexity for spatial 3-D ultrasound calibration.

The design of a new phantom for 3-D ultrasound calibration is presented. The phantom provides a viable alternative to existing phantoms that are significantly more complex and require high precision fabrication. The phantom, referred to as a "plane-of-wires" phantom, consists of two wires mounted at the same fixed height above the bottom of a water tank. Data collection for calibration involved rotating and translating the phantom so that the wires remained in a single plane parallel to the tank bottom. The mean reconstruction accuracy of the plane-of-wires calibration is 0.66 mm at a mean depth of 12.3 mm, with a precision of 1.23 mm at the same mean depth. The calibration was used to determine the volume of a cube with known volume with an error of 2.51%. The calibration performance achieved is comparable with that of existing approaches.

Calibration↗

PubMed2004

[Bone segmentation in human CT images].

In 3D visualization of human skeleton, distinguishing bones from soft tissue in 2D CT slides is the first and most critical procedure. This article presents the methods for image pre-processing, segmentation and smoothing. 1733 CT images of human body from Visible Human Project provided by the American National Library of Medicine are treated in this paper. We use the technique of Chebyshev uniform approximation filtering for denoising and present a new simple adaptive threshold method in segmentation, which combines the similarity of consecutive slices with the region-growing method. In post-processing, we use the algorithms of mathematical morphology and multi-resolution filtering. The accuracy of segmentation is examined and certified by comparing the segmented images with the original one. The results also demonstrate a wide applicability of the method.

Algorithms↗