Accurate segmentation for quantitative analysis of vascular trees in 3D micro-CT images

Riedel, Christian; Chuah, Siang Chye; Zamir, M.; Ritman, Erik L.

doi:10.1117/12.463590

Cited by 5 publications

(3 citation statements)

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“…Because the skeletonization entirely depends on the quality of the initial segmentation, rough surfaces cause the algorithm to produce spurious branches. Compensating for the surface imperfections requires the use of deformable contours for segmentation [36]. These contours, or snakes, are given various constraints to deform until their shapes coincide to that of the vessel.…”

Section: Discussionmentioning

confidence: 99%

Estimation of regional myocardial mass at risk based on distal arterial lumen volume and length using 3D micro-CT images

Lê

Wong

Molloi

2008

Computerized Medical Imaging and Graphics

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The determination of regional myocardial mass at risk distal to a coronary occlusion provides valuable prognostic information for a patient with coronary artery disease. The coronary arterial system follows a design rule which allows for the use of arterial branch length and lumen volume to estimate regional myocardial mass at risk. Image processing techniques, such as segmentation, skeletonization, and arterial network tracking, are presented for extracting anatomical details of the coronary arterial system using micro-computed tomography (CT). Moreover, a method of assigning tissue voxels to their corresponding arterial branches is presented to determine the dependent myocardial region. The proposed micro-CT technique was utilized to investigate the relationship between the sum of the distal coronary arterial branch lengths and volumes to the dependent regional myocardial mass using a polymer cast of a porcine heart. The correlations of the logarithm of the total distal arterial lengths (L) to the logarithm of the regional myocardial mass (M) for the left anterior descending (LAD), left circumflex (LCX) and right coronary (RCA) arteries were log(L) = 0.73log (M)+ 0.09 (R= 0.78), log(L) = 0.82log(M)+ 0.05 (R= 0.77), and log(L) = 0.85log(M)+ 0.05 (R= 0.87) s, respectively. The correlation of the logarithm of the total distal arterial lumen volumes (V) to the logarithm of the regional myocardial mass for the LAD, LCX and RCA were log(V) = 0.93log(M)− 1.65 (R= 0.81), log(V) = 1.02log(M) −1.79 (R= 0.78), and log(V) = 1.17log(M)− 2.10 (R= 0.82), respectively. These morphological relations did not change appreciably for diameter truncations of 600 to 1400 µm. The results indicate that the image processing procedures successfully extracted information from a large 3D dataset of the coronary arterial tree to provide prognostic indications in the form of arterial tree parameters and anatomical area at risk.

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Section: Discussionmentioning

confidence: 99%

Estimation of regional myocardial mass at risk based on distal arterial lumen volume and length using 3D micro-CT images

Lê

Wong

Molloi

2008

Computerized Medical Imaging and Graphics

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“…Thus, large vascular branches such as the root-level vessels appear with much higher grayscale in their lumens than occurs in small diameter lumina. 1 This effect is illustrated in Figure 2. It shows three gray-level profiles measured along the diameters of different vessels in a micro-CT image of the coronary arteries of a mouse.…”

Section: The Problemmentioning

confidence: 87%

Point spread function deconvolution in 3D micro-CT angiography for multiscale vascular tree separation

et al. 2003

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Micro-CT angiography of small laboratory mammal organs visualizes vascular branches on a large range of scales, ranging from root-level branches (~ 1 mm) to endarteriolar vessels (10-40 µm). Multiscale vascular tree segmentation is facilitated by the ability to set a single grayscale threshold value for vessels of all generation levels. Due to the non-ideal modulation transfer function (MTF) of the imaging system, object contrast varies significantly with scale, and the definition of a grayscale threshold for vessel segmentation becomes a problem. We found that performing a point spread function (PSF) deconvolution on the micro-CT projection images significantly reduces the thresholding problem in terms of restoring the smallest vessels' grayscale and delineation. The increased noise from performing a PSF deconvolution will not have a significant effect on the overall signal-to-noise ratio of the images. The PSF deconvolution was successful only when it accommodated the spatial variation of the PSF.

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“…33,66,88,86 The process of harvesting such data is highly tedious, and efforts are underway to apply computer imaging techniques to the complex vasculature of the heart and to develop computer software for detailed mapping and measurements which would otherwise have to be done manually. 61,83 In conclusion, in the overwhelming majority of heart failures the heart fails because of inadequate blood supply for its own metabolic needs. Blood supply to heart tissue is provided by a highly sophisticated dynamical system with an equally sophisticated network of conducting vessels.…”

Section: Dynamic and Transport Issues In Coronary Blood Flowmentioning

confidence: 98%

Cardiac Hemodynamics, Coronary Circulation and Interventional Cardiology

2005

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Microcirculation is the functional end of the coronary circulation and it plays a key role in the regulation of coronary blood flow, both on the local and global scales. A good understanding of its function under physiological and pathophysiological conditions is crucial but, because of its micro-scale, access to this part of the coronary circulation is extremely difficult and requires a considerable amount of innovation and new technologies. Dynamics of the coronary circulation provide the true vehicle by which blood supply reaches the myocardium- coronary vasculature is only the conducting component of that vehicle. It is highly unlikely that the pulsatile nature of the flow, the capacitance of the conducting vessels and the constant pounding of coronary vasculature by surrounding tissue are not part of the design, regulation, and function of the coronary circulation. Interventions, whether to assess or to correct coronary stenosis, continue to be the main clinical avenue to dealing with coronary heart disease. Clinical decisions rely heavily on the ability to determine the true morphology of an occlusive lesion, to predict the future course of that lesion and to assess the functional toll on coronary blood supply which it will inflict at each stage.

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Accurate segmentation for quantitative analysis of vascular trees in 3D micro-CT images

Cited by 5 publications

References 0 publications

Estimation of regional myocardial mass at risk based on distal arterial lumen volume and length using 3D micro-CT images

Estimation of regional myocardial mass at risk based on distal arterial lumen volume and length using 3D micro-CT images

Point spread function deconvolution in 3D micro-CT angiography for multiscale vascular tree separation

Cardiac Hemodynamics, Coronary Circulation and Interventional Cardiology

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