Dr. Yue Dong Profile

Dr. Yue Dong

at Mayo Clinic College of Medicine

SPIE Involvement:

Author

Publications (4)

Proceedings Article | 9 March 2010 Paper

Erode/dilate analysis of micro-CT images of porcine myocardial microvasculature

Timothy Kline, Yue Dong, Mair Zamir, Erik Ritman

Proceedings Volume 7626, 762620 (2010) https://doi.org/10.1117/12.845611

KEYWORDS: Biopsy, Image segmentation, Image analysis, Biological research, 3D image processing, Binary data, Wave propagation, Arteries, Medicine, Visualization

Read Abstract +

Proceedings Article | 15 September 2008 Paper

Whole-body imaging of whole-organ, subresolution, basic functional unit (BFU) perfusion characteristics

Yue Dong, Erik Ritman

Proceedings Volume 7078, 707806 (2008) https://doi.org/10.1117/12.793169

KEYWORDS: Blood, Computed tomography, Scanners, Statistical analysis, Data modeling, Heart, Image analysis, Arteries, Fractal analysis, Whole body imaging

Read Abstract +

Proceedings Article | 12 March 2008 Paper

Intramyocardial capillary blood volume estimated by whole-body CT: validation by micro-CT

Yue Dong, Patricia Beighley, Diane Eaker, Mair Zamir, Erik Ritman

Proceedings Volume 6916, 691624 (2008) https://doi.org/10.1117/12.772713

KEYWORDS: Blood, Computed tomography, Capillaries, Arteries, Heart, Image segmentation, Image resolution, Veins, Electron beams, Scanners

Read Abstract +

Proceedings Article | 14 April 2005 Paper

Characterization of sub-resolution microcirculatory status using whole-body CT imaging

Yue Dong, Nasser Malyar, Patricia Beighley, Erik Ritman

Proceedings Volume 5746, (2005) https://doi.org/10.1117/12.595986

KEYWORDS: Scanners, Blood, Computed tomography, Arteries, Fractal analysis, Statistical analysis, Image analysis, Heart, 3D image processing, Francium

Read Abstract +

Myocardial microcirculation disturbances often precede angiographically visible of narrowing large epicardial coronary arteries and associated symptoms. Clinical tomographic imaging cannot resolve the microcirculation, hence an indirect method of quantitating microvascular disturbances in those images must be developed. We propose that such an indirect method can be based on the characterization of the spatial heterogeneity of myocardial intravascular blood volume. We evaluated the relationship of multi-resolution, nested multi Region-of-Interest (ROI) analysis of EBCT images to the actual intravascular volume of microvascular branches as measured directly with micro-CT images in the same myocardial regions. We selectively altered the intravascular volume of vessels by injecting 30, 100, 200 or 300μm diameter microspheres into anesthetized pigs’ LAD coronary arteries prior to EBCT scanning during contrast injection. The heart was then harvested and the LAD coronary artery was infused with Microfil polymer. An approximately 2cm³ transmural “biopsy” of the same ROI within the myocardium analyzed in the EBCT images was scanned by micro-CT resulting in a 3D image of 20μm cubic voxels. Myocardial opacification was measured in both the EBCT and micro-CT images. The EBCT and micro-CT images were analyzed with the nested multi ROI method which provides an index of spatial heterogeneity of intramyocardial blood volume in terms of the linear relationship between the logarithms of the coefficient of variation within the data obtained at any one size of the ROI, and the logarithm of the volume of that selected ROI. The minimum ROI volume in the EBCT analysis was 8.96 mm³ and for the micro-CT it was 0.07 mm³. There is linear correlation when EBCT and micro-CT image CT gray-scale numbers are plotted as Log (standard deviation/mean) against Log (Volume of ROI). The results show that the slopes and offsets of the EBCT-based and micro-CT-based regression lines were indistinguishable. Moreover, when a fraction of microvessels of selected diameter was embolized, the change in the resulting regression line was characteristic for that diameter. In summary, the EBCT-based analysis spatial heterogeneity of myocardial blood volume can be extrapolated to describe the spatial distribution of the microcirculatory branching geometry in terms of intra segmental lumen volume.

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years