Three-dimensional modeling of the anatomy of the heart and great vessels

Chatel, Didier; Martin-Bouyer, Y.; Acar, Christophe; Bouchoucha, Hassen; Sableyrolles, JL; Jebara, Victor A.; Jc, Chachques; Carpentier, A

doi:10.1007/bf01627890

Cited by 2 publications

(2 citation statements)

References 5 publications

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“…In an effort to minimize alignment errors in these reconstructions, some groups have used external markers prior to sectioning 7,8 and computer and image analysis methods 9,10 with varying degrees of success. In the cardiovascular system, three‐dimensional reconstruction efforts have mostly been restricted to three‐dimensional visualizations of the heart and great vessels 11 …”

Section: Introductionmentioning

confidence: 99%

Computer Three‐Dimensional Reconstruction of the Atrioventricular Conduction System

Mutharasan

Nagaraj

Hamilton

et al. 2004

Pacing Clinical Electrophis

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The human atrioventricular conduction system (AVCS), which includes the AV node and its approaches, AV bundle (penetrating, branching, and bifurcating parts), and the bundle branches, is a curved complex structure that has not been reconstructed in three dimensions using computer technology. Microscopic slides of every 40(th) serial section (cut at 7 micron level) of the AVCS were digitized into 600 dots/inch color images. External outlines of each section were manually segmented using commercially available three-dimensional rendering software (Rhinoceros). The AVCS was traced from light microscopy and superimposed onto the external outlines. To account for inherent errors in histological slide preparation, an optimization procedure was used to align external outlines of all sections. The optimal rotation and translation of each section was established by maximizing area of overlap between adjacent sections. A sequential one-dimensional minimization algorithm was used for optimization. Rotation and translation values were then used to align external outlines and the superimposed conduction system, reconstructing the AVCS in three-dimensions. To validate the method, the algorithm was applied to a digitized image transformed with known translations and rotations. The validation procedure demonstrated that each test image aligned in translations and to within 0.01 degree in rotations. Spatial error determined by resolution of the digitized images was +/-0.5/600 inch (+/-21 microns). Three-dimensional reconstruction of every 40th serial section clearly demonstrated the complex curved shape of the AVCS. Three-dimensional reconstruction of the human and canine AVCS permits accurate pathological and electrophysiological correlation of the conduction system.

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Section: Introductionmentioning

confidence: 99%

Computer Three‐Dimensional Reconstruction of the Atrioventricular Conduction System

Mutharasan

Nagaraj

Hamilton

et al. 2004

Pacing Clinical Electrophis

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“…Acceler-ated by the fast progression of computer performance, computer-based 3D-reconstruction methods rapidly spread in biomedical research. This is particularly true with those imaging techniques that use not physical but virtual sections, such as CT and MRI scans, or images obtained by confocal scanning microscopy (Chatel et al, 1993;Davis et al, 1991;Geiger, 1993;Jaegers et al, 1992;Kang et al, 1993;Stevens et al, 1994;Wright and Schatten, 1991;Zinreich, 1992; for an overview see the NASA 3D-Reconstruction Home Page on the Internet). In these domains, which use imaging data that are a priori registered in their x-and y-orientation, 3D reconstruction has become a standard tool of diagnosis and research.…”

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confidence: 99%

External marker-based automatic congruencing: A new method of 3D reconstruction from serial sections

1997

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Background Computer‐based three‐dimensional (3D) visualizations reconstructed from sectional images represent a valuable tool in biomedical research and medical diagnosis. Particularly with those imaging techniques that provide virtual sections, such as CT, MRI, and CLSM, 3D reconstructions have become routine. Reconstructions from physical sections, such as those used in histological preparations, have not experienced an equivalent breakthrough, due to inherent shortcomings in sectional preparation that impede automated image‐processing and reconstruction. The increased use of molecular techniques in morphological research, however, generates an overwhelming amount of 3D molecular information, stored within series of physical sections. This valuable information can be fully appreciated and interpreted only through an adequate method of 3D visualization. Methods and results:In this paper we present a new method for a reliable and largely automated 3D reconstruction from physically sectioned material. The ‘EMAC‘ concept (External Marker‐based Automatic Congruencing) successfully approaches the three major obstacles to automated 3D reconstruction from serial physical sections: misalignment, distortion, and staining variation. It utilizes the objectivity of external markers for realignment of the sectional images and for geometric correction of distortion. A self‐adapting dynamic thresholding technique compensates for artifactual staining variation and automatically selects the desired object contours. Conclusions Implemented on a low‐cost hardware platform, EMAC provides a fast and efficient tool that largely facilitates the use of computer‐based 3D visualization for the analysis of complex structural, molecular, and genetic information in morphological research. Due to its conceptual versatility, EMAC can be easily adapted for a broad range of tasks, including all modern molecular‐staining techniques, such as immunohistochemistry and in situ hybridization. Anat. Rec. 248:583‐602, 1997. © 1997 Wiley‐Liss, Inc.

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Three-dimensional modeling of the anatomy of the heart and great vessels

Cited by 2 publications

References 5 publications

Computer Three‐Dimensional Reconstruction of the Atrioventricular Conduction System

Computer Three‐Dimensional Reconstruction of the Atrioventricular Conduction System

External marker-based automatic congruencing: A new method of 3D reconstruction from serial sections

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