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Your search keyword '"Mollet, Nico"' showing total 14 results
Start Over Author "Mollet, Nico" Publication Type Books
14 results on '"Mollet, Nico"'

1. Alignment of 4D Coronary CTA with Monoplane X-ray Angiography

Author

Metz, Coert, primary, Schaap, Michiel, additional, Klein, Stefan, additional, Rijnbeek, Peter, additional, Neefjes, Lisan, additional, Mollet, Nico, additional, Schultz, Carl, additional, Serruys, Patrick, additional, Niessen, Wiro, additional, and van Walsum, Theo, additional

Published
2012
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2. Cardiac CT: Basic Principles

Author

Cademartiri, Filippo, primary, Maffei, Erica, additional, Palumbo, Alessandro, additional, Martini, Chiara, additional, and Mollet, Nico R., additional

Published
2010
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3. Conditional Shape Models for Cardiac Motion Estimation

Author

Metz, Coert, primary, Baka, Nora, additional, Kirisli, Hortense, additional, Schaap, Michiel, additional, van Walsum, Theo, additional, Klein, Stefan, additional, Neefjes, Lisan, additional, Mollet, Nico, additional, Lelieveldt, Boudewijn, additional, de Bruijne, Marleen, additional, and Niessen, Wiro, additional

Published
2010
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10. Ischemic Heart Disease, CT

Author

Krestin, Gabriel P, primary, Cademartiri, Filippo, additional, Grutta, Ludovico La, additional, Palumbo, Alessandro, additional, Runza, Giuseppe, additional, Malagutti, Patrizia, additional, Pugliese, Francesca, additional, Meijboom, W Bob, additional, Mollet, Nico R, additional, and de Feyter, Pim J, additional

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13. Conditional Shape Models for Cardiac Motion Estimation.

Author

Metz, Coert, Baka, Nora, Kirisli, Hortense, Schaap, Michiel, van Walsum, Theo, Klein, Stefan, Neefjes, Lisan, Mollet, Nico, Lelieveldt, Boudewijn, de Bruijne, Marleen, and Niessen, Wiro

Abstract

We propose a conditional statistical shape model to predict patient specific cardiac motion from the 3D end-diastolic CTA scan. The model is built from 4D CTA sequences by combining atlas based segmentation and 4D registration. Cardiac motion estimation is, for example, relevant in the dynamic alignment of pre-operative CTA data with intra-operative X-ray imaging. Due to a trend towards prospective electrocardiogram gating techniques, 4D imaging data, from which motion information could be extracted, is not commonly available. The prediction of motion from shape information is thus relevant for this purpose. Evaluation of the accuracy of the predicted motion was performed using CTA scans of 50 patients, showing an average accuracy of 1.1 mm. [ABSTRACT FROM AUTHOR]

Published
2010
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14. Nonrigid Registration and Template Matching for Coronary Motion Modeling from 4D CTA.

Author

Zhang, Dong Ping, Risser, Laurent, Friman, Ola, Metz, Coert, Neefjes, Lisan, Mollet, Nico, Niessen, Wiro, and Rueckert, Daniel

Abstract

In this paper, we present a method for coronary artery motion tracking in 4D cardiac CT angiogram data sets. The proposed method allows the construction of patient-specific 4D coronary motion model from pre-operative CTA which can be used for guiding totally endoscopic coronary artery bypass surgery (TECAB). The proposed approach consists of three steps: Firstly, the coronary arteries are extracted in the end-diastolic time frame using a minimal cost path approach. To achieve this, the start and end points of the coronaries are identified interactively and the minimal cost path between the start and end points is computed using A* graph search algorithm. Secondly, the cardiac motion is estimated throughout the cardiac cycle by using a non-rigid image registration technique based on a free-form B-spline transformation model and maximization of normalized mutual information. Finally, coronary arteries are tracked automatically through all other phases of the cardiac cycle. This is estimated by deforming the extracted coronaries at end-diastole to all other time frames according the motion field acquired in second step. The estimated coronary centerlines are then refined by template matching algorithm to improve the accuracy. We compare the proposed approach with two alternative approaches: The first approach is based on the minimal cost path extraction of the coronaries with start and end points manually identified in each time frame while the second approach is based on propagating the extracted coronaries from the end-diastolic time frame to other time frames using image-based non-rigid registration only. Our results show that the proposed approach performs more robustly than the non-rigid registration based method and that the resulting motion model is comparable to the motion model constructed from semi-automatic extractions of the coronaries in all time frames. [ABSTRACT FROM AUTHOR]

Published
2010
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