Validation of Image-Based Method for Extraction of Coronary Morphometry

Wischgoll, Thomas; Choy, Jenny S.; Ritman, Erik L.; Kassab, Ghassan S.

doi:10.1007/s10439-008-9443-x

Cited by 43 publications

(41 citation statements)

References 40 publications

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“…We have recently validated a segmentation algorithm for CTs of porcine coronary arteries (22), which analyzed five hearts with a focus on the main trunks of the right coronary artery (RCA), left anterior descending coronary artery (LAD), and left circumflex artery (LCx). For this publication, two additional hearts were prepared and analyzed for the entire arterial tree under CT resolution.…”

Section: Methodsmentioning

confidence: 99%

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Extraction of morphometry and branching angles of porcine coronary arterial tree from CT images

Wischgoll

Choy

Kassab

2009

American Journal of Physiology-Heart and Circulatory Physiology

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Wischgoll T, Choy JS, Kassab GS. Extraction of morphometry and branching angles of porcine coronary arterial tree from CT images. Am J Physiol Heart Circ Physiol 297: H1949 -H1955, 2009. First published September 11, 2009 doi:10.1152/ajpheart.00093.2009.-The morphometry (diameters, length, and angles) of coronary arteries is related to their function. A simple, easy, and accurate image-based method to seamlessly extract the morphometry for coronary arteries is of significant value for understanding the structure-function relation. Here, the morphometry of large (Ն1 mm in diameter) coronary arteries was extracted from computed tomography (CT) images using a recently validated segmentation algorithm. The coronary arteries of seven pigs were filled with Microfil, and the cast hearts were imaged with CT. The centerlines of the extracted vessels, the vessel radii, and the vessel lengths were identified for over 700 vessel segments. The extraction algorithm was based on a topological analysis of a vector field generated by normal vectors of the extracted vessel wall. The diameters, lengths, and angles of the right coronary artery, left anterior descending coronary artery, and left circumflex artery of all vessels Ն1 mm in diameter were tabulated for the respective orders. It was found that bifurcations at orders 9 -11 are planar (ϳ90%). The relations between volume and length and area and length were also examined and found to scale as power laws. Furthermore, the bifurcation angles follow the minimum energy hypothesis but with significant scatter. Some of the applications of the semiautomated extraction of morphometric data in applications to coronary physiology and pathophysiology are highlighted. image analysis; computed tomography; segmentation; coronary arteries THE LOCAL FLOW PATTERNS in large epicardial coronary arteries have significant clinical relevance because of their predilection to atherosclerosis in regions of bifurcations and curvature (4). A detailed understanding of local flow patterns must be based on an accurate reconstruction of the anatomy of the coronary vasculature (6, 7). Accordingly, a three-dimensional (3-D) reconstruction of the epicardial coronary arteries with accurate measurements of diameters, lengths, and branching angles is necessary for the accurate simulation of the local flow field. To date, we are unaware of any validated method or algorithm that addresses this need.Recent studies that segment and reconstruct the geometric structure of vascular trees from volumetric imagery focus on vessel radii but do not extract other quantitive morphological data (e.g., lengths, volumes, and angles). A study by Nordsletten et al. (17) analyzed the renal vasculature in microcomputed tomography (micro-CT) scans, confirming Murray's law, which describes the relation between the radii of parent and daughter vessels. In a related study, Lee et al. (14) segmented a coronary micro-CT scan from a rat to determine vessel radii based on a seeded active countour algorithm. The methodology was validated ...

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Section: Methodsmentioning

confidence: 99%

“…The method was validated on a series of CT scans with a resolution of 0.6 ϫ 0.6 ϫ 1.0 mm 3 , providing a root mean square (RMS) error of 0.27 voxels (22). The method identifies the vessels and determines the centerlines of those vessels, i.e., it reduces the entire vasculature to a curve skeleton.…”

mentioning

confidence: 99%

Extraction of morphometry and branching angles of porcine coronary arterial tree from CT images

Wischgoll

Choy

Kassab

2009

American Journal of Physiology-Heart and Circulatory Physiology

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“…This provides the centerline at a subvoxel precision, which further contributes to the enhanced accuracy of this approach and results in a precise representation of the centerlines of all vessels within the volumetric image. The algorithm was validated by comparing optical microscope measurements of coronary casts (24). The root mean square error between optical and CT measurements was 0.16 mm (,10% of the mean value), with an average deviation of 0.13 mm (24).…”

Section: Cardiac Imaging: Ct-based Diagnosis Of Diffuse Coronary Artementioning

confidence: 99%

“…As shown in Figure 2, the morphometric parameters (ie, centerlines, cross-sectional area, and lengths) of the left main coronary artery and right coronary artery trees were extracted from CT angiograms obtained in control subjects and patients with metabolic syndrome by using a validated software algorithm (24,25). Briefly, the algorithm first segmented the vessels within the volumetric In comparison with the length-area scaling power law, the length-volume scaling power law fits well to CT data (R 2 .…”

Section: Imaging Analysismentioning

confidence: 99%

CT-based Diagnosis of Diffuse Coronary Artery Disease on the Basis of Scaling Power Laws

et al. 2013

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Purpose:To provide proof of concept for a diagnostic method to assess diffuse coronary artery disease (CAD) on the basis of coronary computed tomography (CT) angiography. Materials and Methods:The study was approved by the Cleveland Clinic Institutional Review Board, and all subjects gave informed consent. Morphometric data from the epicardial coronary artery tree, determined with CT angiography in 120 subjects (89 patients with metabolic syndrome and 31 ageand sex-matched control subjects) were analyzed on the basis of the scaling power law. Results obtained in patients with metabolic syndrome and control subjects were compared statistically. Results:The mean lumen cross-sectional area (ie, lumen cross-sectional area averaged over each vessel of an epicardial coronary artery tree) and sum of intravascular volume in patients with metabolic syndrome (0.039 cm 2 6 0.015 [standard deviation] and 2.71 cm 3 6 1.75, respectively) were significantly less than those in control subjects (0.054 cm 2 6 0.015 and 3.29 cm 3 6 1.77, respectively; P , .05). The length-volume power law showed coefficients of 27.0 cm 24/3 6 9.0 (R 2 = 0.91 6 0.08) for patients with metabolic syndrome and 19.9 cm 24/3 6 4.3 (R 2 = 0.92 6 0.07) for control subjects (P , .05). The probability frequency shows that more than 65% of patients with metabolic syndrome had a coefficient of 23 or more for the lengthvolume scaling power law, whereas approximately 90% of the control subjects had a coefficient of less than 23. Conclusion:The retrospective scaling analysis provides a quantitative rationale for diagnosis of diffuse CAD.q RSNA, 2013 Supplemental material: http://radiology.rsna.org/lookup /suppl

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“…The algorithm has been validated by optical measurements with a r.m.s. error of 0.16 mm (less than 10% of the mean value) and an average deviation of 0.13 mm [17].…”

Section: Reconstruction Of Coronary Arterial Treesmentioning

confidence: 83%

Computed tomography-based diagnosis of diffuse compensatory enlargement of coronary arteries using scaling power laws

Huo

Choy

Wischgoll

et al. 2013

J. R. Soc. Interface.

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Glagov's positive remodelling in the early stages of coronary atherosclerosis often results in plaque rupture and acute events. Because positive remodelling is generally diffused along the epicardial coronary arterial tree, it is difficult to diagnose non-invasively. Hence, the objective of the study is to assess the use of scaling power law for the diagnosis of positive remodelling of coronary arteries based on computed tomography (CT) images. Epicardial coronary arterial trees were reconstructed from CT scans of six Ossabaw pigs fed on a high-fat, high-cholesterol, atherogenic diet for eight months as well as the same number of body-weight-matched farm pigs fed on a lean chow (101.9 + 16.1 versus 91.5 + 13.1 kg). The high-fat diet Ossabaw pig model showed diffuse positive remodelling of epicardial coronary arteries. Good fit of measured coronary data to the length-volume scaling power lawc ; where L c and V c are crown length and volume) were found for both the high-fat and control groups (R 2 ¼ 0.95 + 0.04 and 0.99 + 0.01, respectively). The coefficient, K LV , decreased significantly in the high-fat diet group when compared with the control (14.6 + 2.6 versus 40.9 + 5.6). The flow-length scaling power law, however, was nearly unaffected by the positive remodelling. The length-volume and flow-length scaling power laws were preserved in epicardial coronary arterial trees after positive remodelling. K LV , 18 in the length-volume scaling relation is a good index of positive remodelling of coronary arteries. These findings provide a clinical rationale for simple, accurate and non-invasive diagnosis of positive remodelling of coronary arteries, using conventional CT scans.

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Validation of Image-Based Method for Extraction of Coronary Morphometry

Cited by 43 publications

References 40 publications

Extraction of morphometry and branching angles of porcine coronary arterial tree from CT images

Extraction of morphometry and branching angles of porcine coronary arterial tree from CT images

CT-based Diagnosis of Diffuse Coronary Artery Disease on the Basis of Scaling Power Laws

Computed tomography-based diagnosis of diffuse compensatory enlargement of coronary arteries using scaling power laws

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