System for analyzing high-resolution three-dimensional coronary angiograms

Higgins, William E.; Spyra, W.J.T.; Karwoski, Ronald A.; Ritman, E. L.

doi:10.1109/42.500146

Cited by 49 publications

(32 citation statements)

References 23 publications

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“…Now, consider the following general mathematical quantities: We approximate each tree branch b j 's central axis by a set of connected line segments. The line segments are computed by minimizing the di erence between the original vasculature and curve-ÿtted segments, as described elsewhere [17,18]. The line segments in turn are represented as a series of 3D discrete sites, k =1; 2; : : : ; N c (j); that are one voxel apart.…”

Section: Quantitationmentioning

confidence: 99%

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Multi-generational analysis and visualization of the vascular tree in 3D micro-CT images

Wan

Ritman

Higgins

2002

Computers in Biology and Medicine

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Micro-CT scanners can generate large high-resolution three-dimensional (3D) digital images of small-animal organs, such as rat hearts. Such images enable studies of basic physiologic questions on coronary branching geometry and uid transport. Performing such an analysis requires three steps: (1) extract the arterial tree from the image; (2) compute quantitative geometric data from the extracted tree; and (3) perform a numerical analysis of the computed data. Because a typical coronary arterial tree consists of hundreds of branches and many generations, it is impractical to perform such an integrated study manually. An automatic method exists for performing step (1), extracting the tree, but little e ort has been made on the other two steps. We propose an environment for performing a complete study. Quantitative measures for arterial-lumen cross-sectional area, inter-branch segment length, branch surface area and others at the generation, inter-branch, and intra-branch levels are computed. A human user can then work with the quantitative data in an interactive visualization system. The system provides various forms of viewing and permits interactive tree editing for "on the y" correction of the quantitative data. We illustrate the methodology for 3D micro-CT rat heart images. ?

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Section: Quantitationmentioning

confidence: 99%

“…6). While a projection can give a misleading impression of the true 3D geometry of the tree, it does give a useful 2D rendition of the complete data set [18].…”

Section: Interactive Systemmentioning

confidence: 99%

Multi-generational analysis and visualization of the vascular tree in 3D micro-CT images

Wan

Ritman

Higgins

2002

Computers in Biology and Medicine

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“…The methods principally were similar to those used in previous studies of the coronary arteries. [5][6][7][8][9] The 3D image was built up from the images generated by the scanner. The gray scale of the transaxial images was thresholded so as to give maximum contrast between the opacified biliary tree and the background of hepatic parenchyma.…”

Section: Methodsmentioning

confidence: 99%

Anatomy of the human biliary system studied by quantitative computer-aided three-dimensional imaging techniques

et al. 1998

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The branching geometry of the normal, cholangiographically identifiable human biliary tree was studied with an innovative computer-aided three-dimensional (3D) imaging technique. In addition, a serially sectioned conventional paraffin block from a normal donor liver was used to create and quantitatively study a microscopic 3D image. Finally, a geometric model was developed to estimate the enlargement of biliary surfaces imparted by microvilli. The images created by these techniques could be viewed in stationary modes or rotating around any preselected axis. Approximately 7 (؎3) intrahepatic duct orders were cholangiographically identified. Computerized measurements of the images from three normal livers suggested that the mean total volume of duct orders 1 to 7 shown in the cholangiograms was 16.6 cm 3 . The volume of the entire macroscopic duct system was estimated to be between 14 and 24 cm 3 (mean, 20.4 cm 3 ), with an internal surface of 336 to 575 cm 2 (mean, 398 cm 2 ). A geometric model based on electron micrographs suggested that this surface is magnified approximately 5.5-fold by the presence of microvilli. Volume and surface area (SA) measurements of all ducts in the same orders increased nearly exponentially from the first toward the seventh branching order (i.e., from the hilus toward the periphery of the liver), and probably beyond. The microscopic computerized reconstruction of a septal bile duct with its tributaries also allowed volume measurements; the imaged duct system represented 2.7% of the portal tract volume. The data presented herein may help to better evaluate branching patterns of the biliary tree and, eventually, the quantitative aspects of site-restricted cholangiocyte function and their role in the development of biliary diseases. (HEPATOLOGY 1998;27:893-899.)

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“…Due to the fact that in medical image analysis there are difficulties with supplying a representative and at the same time a universal model, it is not possible to use, on the ex− clusivity basis, algorithms and computer−aided learning methods [19,20]. Nor is it possible to apply measurement methods of the similarity or differentiation of the examined images in order to analyse thise structure in an unequivocal manner.…”

Section: Resultsmentioning

confidence: 99%

Picture grammars in classification and semantic interpretation of 3D coronary vessels visualisations

Ogiela

Tadeusiewicz

Trzupek

2009

Opto-Electronics Review

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The work presents the new opportunity for making semantic descriptions and analysis of medical structures, especially coronary vessels CT spatial reconstructions, with the use of AI graph-based linguistic formalisms. In the paper there will be discussed the manners of applying methods of computational intelligence to the development of a syntactic semantic description of spatial visualisations of the heart’s coronary vessels. Such descriptions may be used for both smart ordering of images while archiving them and for their semantic searches in medical multimedia databases. Presented methodology of analysis can furthermore be used for attaining other goals related performance of computer-assisted semantic interpretation of selected elements and/or the entire 3D structure of the coronary vascular tree. These goals are achieved through the use of graph-based image formalisms based on IE graphs generating grammars that allow discovering and automatic semantic interpretation of irregularities visualised on the images obtained during diagnostic examinations of the heart muscle. The basis for the construction of 3D reconstructions of biological objects used in this work are visualisations obtained from helical CT scans, yet the method itself may be applied also for other methods of medical 3D images acquisition. The obtained semantic information makes it possible to make a description of the structure focused on the semantics of various morphological forms of the visualised vessels from the point of view of the operation of coronary circulation and the blood supply of the heart muscle. Thanks to these, the analysis conducted allows fast and — to a great degree — automated interpretation of the semantics of various morphological changes in the coronary vascular tree, and especially makes it possible to detect these stenoses in the lumen of the vessels that can cause critical decrease in blood supply to extensive or especially important fragments of the heart muscle.

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System for analyzing high-resolution three-dimensional coronary angiograms

Cited by 49 publications

References 23 publications

Multi-generational analysis and visualization of the vascular tree in 3D micro-CT images

Multi-generational analysis and visualization of the vascular tree in 3D micro-CT images

Anatomy of the human biliary system studied by quantitative computer-aided three-dimensional imaging techniques

Picture grammars in classification and semantic interpretation of 3D coronary vessels visualisations

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