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Lucas J. van Vliet - IEEE Xplore Author Profile
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Lucas J. van Vliet

Also published under: L. J. van Vliet, Lucas J. Van Vliet, L. J. Van Vliet

Publications
65
Citations
1,215
Publications by Year
19922020
Co-Authors:
Show All Co-Authors (127)
Image of author Lucas J. van Vliet

Lucas J. van Vliet

Also published under: L. J. van Vliet, Lucas J. Van Vliet, L. J. Van Vliet

Affiliation

Department of Imaging Physics
Delft University of Technology
Delft, The Netherlands

Publication Topics

Biography

Authors’ photographs and biographies not available at the time of publication.(Based on document published on 23 December 2014).
Publications
65
Citations
1,215
Publications by Year
19922020
Co-Authors:
Show All Co-Authors (127)
Author's Published Works

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An Efficient Method for Multi-Parameter Mapping in Quantitative MRI Using B-Spline Interpolation

Willem van Valenberg;Stefan Klein;Frans M. Vos;Kirsten Koolstra;Lucas J. van Vliet;Dirk H. J. Poot

IEEE Transactions on Medical Imaging
Year: 2020 | Volume: 39, Issue: 5 | Journal Article |
Cited by: Papers (8)
Quantitative MRI methods that estimate multiple physical parameters simultaneously often require the fitting of a computational complex signal model defined through the Bloch equations. Repeated Bloch simulations can be avoided by matching the measured signal with a precomputed signal dictionary on a discrete parameter grid (i.e. lookup table) as used in MR Fingerprinting. However, accurate estima...Show More

An Efficient Method for Multi-Parameter Mapping in Quantitative MRI Using B-Spline Interpolation

Willem van Valenberg;Stefan Klein;Frans M. Vos;Kirsten Koolstra;Lucas J. van Vliet;Dirk H. J. Poot

Year: 2020 | Volume: 39, Issue: 5 | Journal Article |

Orientation Prior and Consistent Model Selection Increase Sensitivity of Tract-Based Spatial Statistics in Crossing-Fiber Regions

G. A. M. Arkesteijn;D. H. J. Poot;M. A. Ikram;W. J. Niessen;L. J. Van Vliet;M. W. Vernooij;F. M. Vos

IEEE Transactions on Medical Imaging
Year: 2020 | Volume: 39, Issue: 2 | Journal Article |
Cited by: Papers (1)
The goal of this paper is to increase the statistical power of crossing-fiber statistics in voxelwise analyses of diffusion-weighted magnetic resonance imaging (DW-MRI) data. In the proposed framework, a fiber orientation atlas and a model complexity atlas were used to fit the ball-and-sticks model to diffusion-weighted images of subjects in a prospective population-based cohort study. Reproducibi...Show More

Orientation Prior and Consistent Model Selection Increase Sensitivity of Tract-Based Spatial Statistics in Crossing-Fiber Regions

G. A. M. Arkesteijn;D. H. J. Poot;M. A. Ikram;W. J. Niessen;L. J. Van Vliet;M. W. Vernooij;F. M. Vos

Year: 2020 | Volume: 39, Issue: 2 | Journal Article |

Convolutional neural network-based regression for biomarker estimation in corneal endothelium microscopy images

Juan P. Vigueras-Guillén;Jeroen van Rooij;Hans G. Lemij;Koenraad A. Vermeer;Lucas J. van Vliet

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Year: 2019 | Conference Paper |
Cited by: Papers (2)
The morphometric parameters of the corneal endothelium - cell density (ECD), cell size variation (CV), and hexagonality (HEX) - provide clinically relevant information about the cornea. To estimate these parameters, the endothelium is commonly imaged with a non-contact specular microscope and cell segmentation is performed to these images. In previous work, we have developed several methods that, ...Show More

Convolutional neural network-based regression for biomarker estimation in corneal endothelium microscopy images

Juan P. Vigueras-Guillén;Jeroen van Rooij;Hans G. Lemij;Koenraad A. Vermeer;Lucas J. van Vliet

Year: 2019 | Conference Paper |

Corneal Endothelial Cell Segmentation by Classifier-Driven Merging of Oversegmented Images

Juan P. Vigueras-Guillén;Eleni-Rosalina Andrinopoulou;Angela Engel;Hans G. Lemij;Jeroen van Rooij;Koenraad A. Vermeer;Lucas J. van Vliet

IEEE Transactions on Medical Imaging
Year: 2018 | Volume: 37, Issue: 10 | Journal Article |
Cited by: Papers (34)
Corneal endothelium images obtained by in vivo specular microscopy provide important information to assess the health status of the cornea. Estimation of clinical parameters, such as cell density, polymegethism, and pleomorphism, requires accurate cell segmentation. State-of-the-art techniques to automatically segment the endothelium are error-prone when applied to images with low contrast and/or ...Show More

Corneal Endothelial Cell Segmentation by Classifier-Driven Merging of Oversegmented Images

Juan P. Vigueras-Guillén;Eleni-Rosalina Andrinopoulou;Angela Engel;Hans G. Lemij;Jeroen van Rooij;Koenraad A. Vermeer;Lucas J. van Vliet

Year: 2018 | Volume: 37, Issue: 10 | Journal Article |

An Automated System for the Detection and Classification of Retinal Changes Due to Red Lesions in Longitudinal Fundus Images

Kedir M. Adal;Peter G. van Etten;Jose P. Martinez;Kenneth W. Rouwen;Koenraad A. Vermeer;Lucas J. van Vliet

IEEE Transactions on Biomedical Engineering
Year: 2018 | Volume: 65, Issue: 6 | Journal Article |
Cited by: Papers (61)
People with diabetes mellitus need annual screening to check for the development of diabetic retinopathy (DR). Tracking small retinal changes due to early diabetic retinopathy lesions in longitudinal fundus image sets is challenging due to intraand intervisit variability in illumination and image quality, the required high registration accuracy, and the subtle appearance of retinal lesions compare...Show More

An Automated System for the Detection and Classification of Retinal Changes Due to Red Lesions in Longitudinal Fundus Images

Kedir M. Adal;Peter G. van Etten;Jose P. Martinez;Kenneth W. Rouwen;Koenraad A. Vermeer;Lucas J. van Vliet

Year: 2018 | Volume: 65, Issue: 6 | Journal Article |

Longitudinal analysis of diffusion-weighted MRI with a ball-and-sticks model

G.A.M. Arkesteijn;D.H.J. Poot;M. Niestijl;M.W. Vernooij;W.J. Niessen;L.J. van Vliet;F.M. Vos

2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)
Year: 2017 | Conference Paper |
Purpose: To increase the sensitivity in longitudinal analysis of DW-MRI data with the ball-and-sticks model. Methods: Longitudinal DW-MRI data (baseline and two follow-up scans) of 25 middle-aged subjects (47 to 61 years at base line) were acquired. After coregistering all the diffusion-weighted images (DWIs) from the baseline and follow-up scans to a subject-specific intermediate space, an extend...Show More

Longitudinal analysis of diffusion-weighted MRI with a ball-and-sticks model

G.A.M. Arkesteijn;D.H.J. Poot;M. Niestijl;M.W. Vernooij;W.J. Niessen;L.J. van Vliet;F.M. Vos

Year: 2017 | Conference Paper |

Segmentation of Locally Varying Numbers of Outer Retinal Layers by a Model Selection Approach

Jelena Novosel;Suzanne Yzer;Koenraad A. Vermeer;Lucas J. van Vliet

IEEE Transactions on Medical Imaging
Year: 2017 | Volume: 36, Issue: 6 | Journal Article |
Cited by: Papers (4)
Extraction of image-based biomarkers, such as the presence, visibility, or thickness of a certain layer, from 3-D optical coherence tomography data provides relevant clinical information. We present a method to simultaneously determine the number of visible layers in the outer retina and segment them. The method is based on a model selection approach with special attention given to the balance bet...Show More

Segmentation of Locally Varying Numbers of Outer Retinal Layers by a Model Selection Approach

Jelena Novosel;Suzanne Yzer;Koenraad A. Vermeer;Lucas J. van Vliet

Year: 2017 | Volume: 36, Issue: 6 | Journal Article |

Joint Segmentation of Retinal Layers and Focal Lesions in 3-D OCT Data of Topologically Disrupted Retinas

Jelena Novosel;Koenraad A. Vermeer;Jan H. de Jong;Ziyuan Wang;Lucas J. van Vliet

IEEE Transactions on Medical Imaging
Year: 2017 | Volume: 36, Issue: 6 | Journal Article |
Cited by: Papers (47)
Accurate quantification of retinal structures in 3-D optical coherence tomography data of eyes with pathologies provides clinically relevant information. We present an approach to jointly segment retinal layers and lesions in eyes with topology-disrupting retinal diseases by a loosely coupled level set framework. In the new approach, lesions are modeled as an additional space-variant layer delinea...Show More

Joint Segmentation of Retinal Layers and Focal Lesions in 3-D OCT Data of Topologically Disrupted Retinas

Jelena Novosel;Koenraad A. Vermeer;Jan H. de Jong;Ziyuan Wang;Lucas J. van Vliet

Year: 2017 | Volume: 36, Issue: 6 | Journal Article |

Noise-adaptive attenuation coefficient estimation in spectral domain optical coherence tomography data

Babak Ghafaryasl;Koenraad A. Vermeer;Johannes F. de Boer;Mirjam E. J. van Velthoven;Lucas J. van Vliet

2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)
Year: 2016 | Conference Paper |
Cited by: Papers (1)
The attenuation coefficient (AC) is a tissue property that can be estimated from optical coherence tomography (OCT) data. We observed that excessive noise below the retina might cause both an underestimation and a significant variation of the estimated AC values by a state-of-the-art algorithm. Two methods were proposed to reduce these effects: I) by removing the average noise signal from the OCT ...Show More

Noise-adaptive attenuation coefficient estimation in spectral domain optical coherence tomography data

Babak Ghafaryasl;Koenraad A. Vermeer;Johannes F. de Boer;Mirjam E. J. van Velthoven;Lucas J. van Vliet

Year: 2016 | Conference Paper |

Locally-adaptive loosely-coupled level sets for retinal layer and fluid segmentation in subjects with central serous retinopathy

Jelena Novosel;Ziyuan Wang;Henk de Jong;Mirjam van Velthoven;Koenraad A. Vermeer;Lucas J. van Vliet

2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)
Year: 2016 | Conference Paper |
Cited by: Papers (30)
We present a locally-adaptive approach to segment the fluid and the interfaces between retinal layers in eyes affected by central serous retinopathy based on loosely-coupled level sets. The approach exploits the local attenuation coefficient differences of layers around an interface and introduces auxiliary interfaces to delineate the fluid. Thus, it can handle abrupt attenuation coefficient varia...Show More

Locally-adaptive loosely-coupled level sets for retinal layer and fluid segmentation in subjects with central serous retinopathy

Jelena Novosel;Ziyuan Wang;Henk de Jong;Mirjam van Velthoven;Koenraad A. Vermeer;Lucas J. van Vliet

Year: 2016 | Conference Paper |

Image Registration Based on Autocorrelation of Local Structure

Zhang Li;Dwarikanath Mahapatra;Jeroen A. W. Tielbeek;Jaap Stoker;Lucas J. van Vliet;Frans M. Vos

IEEE Transactions on Medical Imaging
Year: 2016 | Volume: 35, Issue: 1 | Journal Article |
Cited by: Papers (65)
Registration of images in the presence of intra-image signal fluctuations is a challenging task. The definition of an appropriate objective function measuring the similarity between the images is crucial for accurate registration. This paper introduces an objective function that embeds local phase features derived from the monogenic signal in the modality independent neighborhood descriptor (MIND)...Show More

Image Registration Based on Autocorrelation of Local Structure

Zhang Li;Dwarikanath Mahapatra;Jeroen A. W. Tielbeek;Jaap Stoker;Lucas J. van Vliet;Frans M. Vos

Year: 2016 | Volume: 35, Issue: 1 | Journal Article |

Method for segmentation of the layers in the outer retina

Jelena Novosel;Koenraad A. Vermeer;Laurence Pierrache;Caroline C.W. Klaver;L. I. van den Born;Lucas J. van Vliet

2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Year: 2015 | Conference Paper |
Cited by: Papers (2)
This paper presents a method to determine the number of visible layers in the outer retina and perform segmentation. Each layer in the outer retina is represented by a Gaussian function, and multiple models with a different number of layers are used to form the outer retina. Parameters of competing models are calculated by using maximum likelihood estimation after which the model that best describ...Show More

Method for segmentation of the layers in the outer retina

Jelena Novosel;Koenraad A. Vermeer;Laurence Pierrache;Caroline C.W. Klaver;L. I. van den Born;Lucas J. van Vliet

Year: 2015 | Conference Paper |

CSF contamination-invariant statistics in diffusion-weighted MRI

G. A. M. Arkesteijn;D. H. J. Poot;M. de Groot;M. W. Vernooij;W. J. Niessen;L. J. van Vliet;F. M. Vos

2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)
Year: 2015 | Conference Paper |
Cited by: Papers (3)
In diffusion-weighted magnetic resonance imaging (DW-MRI), the detection of microstructural change in brain white matter structures that border cerebrospinal fluid (CSF) is complicated by partial volume effects. The conventional diffusion tensor model is very sensitive to CSF contamination, which may leave subtle microstructural change undetected or may lead to detection of spurious microstructura...Show More

CSF contamination-invariant statistics in diffusion-weighted MRI

G. A. M. Arkesteijn;D. H. J. Poot;M. de Groot;M. W. Vernooij;W. J. Niessen;L. J. van Vliet;F. M. Vos

Year: 2015 | Conference Paper |

Rank-2 model-order selection in diffusion tensor MRI: Infromation complexity based on the total Kullback-Leibler divergence

Jianfei Yang;Dirk H.J. Poot;Matthan W.A. Caan;Frans M. Vos;Lucas J. van Vliet

2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)
Year: 2015 | Conference Paper |
Cited by: Papers (1)
Diffusion-weighted MRI (DW-MRI) can assess the integrity of white matter (WM) structures in the human brain. Multi-compartment analysis of DW-MRI requires an estimate of the number of compartments to permit unbiased estimation of the diffusion shape in a single fibers as well as crossing fascicles. We propose a new, rotation-invariant measure to assess the suitability of a model by a measure for i...Show More

Rank-2 model-order selection in diffusion tensor MRI: Infromation complexity based on the total Kullback-Leibler divergence

Jianfei Yang;Dirk H.J. Poot;Matthan W.A. Caan;Frans M. Vos;Lucas J. van Vliet

Year: 2015 | Conference Paper |

Expiration-Phase Template-Based Motion Correction of Free-Breathing Abdominal Dynamic Contrast Enhanced MRI

Zhang Li;Jeroen A. W. Tielbeek;Matthan W. A. Caan;Carl A. J. Puylaert;Manon L. W. Ziech;Chung Y. Nio;Jaap Stoker;Lucas J. van Vliet;Frans M. Vos

IEEE Transactions on Biomedical Engineering
Year: 2015 | Volume: 62, Issue: 4 | Journal Article |
Cited by: Papers (25)
This paper studies a novel method to compensate for respiratory and peristaltic motions in abdominal dynamic contrast enhanced magnetic resonance imaging. The method consists of two steps: 1) expiration-phase “template” construction and retrospective gating of the data to the template; and 2) nonrigid registration of the gated volumes. Landmarks annotated by three experts were used to directly ass...Show More

Expiration-Phase Template-Based Motion Correction of Free-Breathing Abdominal Dynamic Contrast Enhanced MRI

Zhang Li;Jeroen A. W. Tielbeek;Matthan W. A. Caan;Carl A. J. Puylaert;Manon L. W. Ziech;Chung Y. Nio;Jaap Stoker;Lucas J. van Vliet;Frans M. Vos

Year: 2015 | Volume: 62, Issue: 4 | Journal Article |

Loosely coupled level sets for retinal layer segmentation in optical coherence tomography

Jelena Novosel;Koenraad A. Vermeer;Gijs Thepass;Hans G. Lemij;Lucas J. van Vliet

2013 IEEE 10th International Symposium on Biomedical Imaging
Year: 2013 | Conference Paper |
Cited by: Papers (9)
This paper presents a novel method for the segmentation of layered structures that have a predefined order. Layers are jointly segmented by simultaneous detection of their interfaces. This is done by means of a level set approach based on Bayesian inference where the ordering of the layers is enforced via a novel level set coupling. The method was applied to in-vivo images of healthy human retinas...Show More

Loosely coupled level sets for retinal layer segmentation in optical coherence tomography

Jelena Novosel;Koenraad A. Vermeer;Gijs Thepass;Hans G. Lemij;Lucas J. van Vliet

Year: 2013 | Conference Paper |

Electronic Cleansing for 24-H Limited Bowel Preparation CT Colonography Using Principal Curvature Flow

Vincent F. van Ravesteijn;Thierry N. Boellaard;Marije P. van der Paardt;Iwo W. O. Serlie;Margriet C. de Haan;Jaap Stoker;Lucas J. van Vliet;Frans M. Vos

IEEE Transactions on Biomedical Engineering
Year: 2013 | Volume: 60, Issue: 11 | Journal Article |
Cited by: Papers (6)
CT colonography (CTC) is one of the recommended methods for colorectal cancer screening. The subject's preparation is one of the most burdensome aspects of CTC with a cathartic bowel preparation. Tagging of the bowel content with an oral contrast medium facilitates CTC with limited bowel preparation. Unfortunately, such preparations adversely affect the 3-D image quality. Thus far, data acquired a...Show More

Electronic Cleansing for 24-H Limited Bowel Preparation CT Colonography Using Principal Curvature Flow

Vincent F. van Ravesteijn;Thierry N. Boellaard;Marije P. van der Paardt;Iwo W. O. Serlie;Margriet C. de Haan;Jaap Stoker;Lucas J. van Vliet;Frans M. Vos

Year: 2013 | Volume: 60, Issue: 11 | Journal Article |

Computational modeling for assessment of IBD: To be or not to be?

Franciscus M. Vos;Jeroen A.W. Tielbeek;Robiel E. Naziroglu;Zhang Li;Peter Schueffler;Dwarikanath Mahapatra;Alexander Wiebel;C. Lavini;Joachim M. Buhmann;Hans-Christian Hege;Jaap Stoker;Lucas J. van Vliet

2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Year: 2012 | Conference Paper |
Cited by: Papers (12)
The grading of inflammatory bowel disease (IBD) severity is important to determine the proper treatment strategy and to quantify the response to treatment. Traditionally, ileocolonoscopy is considered the reference standard for assessment of IBD. However, the procedure is invasive and requires extensive bowel preparation. Magnetic resonance imaging (MRI) has become an important tool for determinin...Show More

Computational modeling for assessment of IBD: To be or not to be?

Franciscus M. Vos;Jeroen A.W. Tielbeek;Robiel E. Naziroglu;Zhang Li;Peter Schueffler;Dwarikanath Mahapatra;Alexander Wiebel;C. Lavini;Joachim M. Buhmann;Hans-Christian Hege;Jaap Stoker;Lucas J. van Vliet

Year: 2012 | Conference Paper |

Automatic detection of calcified lesions in the descending aorta using contrast enhanced CT scans

R. Shahzad;M. Schaap;F. B. Goncalves;C. T. Metz;H. Tang;T. van Walsum;A. Moelker;L. J. van Vliet;W. J. Niessen

2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)
Year: 2012 | Conference Paper |
Cited by: Papers (4)
In clinical practice, detection and quantification of calcified lesions in the coronary arteries and aorta is normally performed on non contrast enhanced Computed Tomography (CT) scans. This CT scan is generally followed by a contrast enhanced angiography (CTA) scan for better plaque visualization. We propose and evaluate a method for the detection of calcified lesions on CTA scans. Calcium lesion...Show More

Automatic detection of calcified lesions in the descending aorta using contrast enhanced CT scans

R. Shahzad;M. Schaap;F. B. Goncalves;C. T. Metz;H. Tang;T. van Walsum;A. Moelker;L. J. van Vliet;W. J. Niessen

Year: 2012 | Conference Paper |

Lumen segmentation of atherosclerotic carotid arteries in CTA

Hui Tang;Theo van Walsum;Reinhard Hameeteman;Michiel Schaap;Aad van der Lugt;Lucas J. van Vliet;Wiro J. Niessen

2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)
Year: 2012 | Conference Paper |
Lumen segmentation is relevant for quantification of the degree of stenoses and as preprocessing step for the analysis of the vessel wall, and for the simulation and planing of interventions. Although lumen segmentation in CTA has received considerable interest, it remains a challenge for atherosclerotic vessels. In this paper we propose a semi-automatic lumen segmentation method using a levelset ...Show More

Lumen segmentation of atherosclerotic carotid arteries in CTA

Hui Tang;Theo van Walsum;Reinhard Hameeteman;Michiel Schaap;Aad van der Lugt;Lucas J. van Vliet;Wiro J. Niessen

Year: 2012 | Conference Paper |

A 4D Statistical Model of Wrist Bone Motion Patterns

Martijn van de Giessen;Mahyar Foumani;Frans M. Vos;Simon D. Strackee;Mario Maas;Lucas J. Van Vliet;Cornelis A. Grimbergen;Geert J. Streekstra

IEEE Transactions on Medical Imaging
Year: 2012 | Volume: 31, Issue: 3 | Journal Article |
Cited by: Papers (16)
Direct imaging of ligament damage in the wrist remains a challenge. Still, such damage can be assessed indirectly through the analysis of changes in wrist pose and motion pattern. For this purpose we built a statistical reference model that describes healthy motion patterns. We show that such a model can also be used to detect and quantify pathologies. A model that only describes the global transl...Show More

A 4D Statistical Model of Wrist Bone Motion Patterns

Martijn van de Giessen;Mahyar Foumani;Frans M. Vos;Simon D. Strackee;Mario Maas;Lucas J. Van Vliet;Cornelis A. Grimbergen;Geert J. Streekstra

Year: 2012 | Volume: 31, Issue: 3 | Journal Article |

Nonrigid Point Set Matching of White Matter Tracts for Diffusion Tensor Image Analysis

Matthan W. A. Caan;Lucas J. van Vliet;Charles B. L. M. Majoie;Maaike M. van der Graaff;C. A. Grimbergen;Frans M. Vos

IEEE Transactions on Biomedical Engineering
Year: 2011 | Volume: 58, Issue: 9 | Journal Article |
Cited by: Papers (8)
Patient studies based on diffusion tensor images (DTI) require spatial correspondence between subjects. We propose to obtain the correspondence from white matter tracts, by introducing a new method for nonrigid matching of white matter fiber tracts in DTI. The method boils down to point set registration that involves simultaneously clustering and matching of the data points. The tracts are implici...Show More

Nonrigid Point Set Matching of White Matter Tracts for Diffusion Tensor Image Analysis

Matthan W. A. Caan;Lucas J. van Vliet;Charles B. L. M. Majoie;Maaike M. van der Graaff;C. A. Grimbergen;Frans M. Vos

Year: 2011 | Volume: 58, Issue: 9 | Journal Article |

Multiframe Super-Resolution Reconstruction of Small Moving Objects

Adam W. M. van Eekeren;Klamer Schutte;Lucas J. van Vliet

IEEE Transactions on Image Processing
Year: 2010 | Volume: 19, Issue: 11 | Journal Article |
Multiframe super-resolution (SR) reconstruction of small moving objects against a cluttered background is difficult for two reasons: a small object consists completely of “mixed” boundary pixels and the background contribution changes from frame-to-frame. We present a solution to this problem that greatly improves recognition of small moving objects under the assumption of a simple linear motion m...Show More

Multiframe Super-Resolution Reconstruction of Small Moving Objects

Adam W. M. van Eekeren;Klamer Schutte;Lucas J. van Vliet

Year: 2010 | Volume: 19, Issue: 11 | Journal Article |

Gridifying a Diffusion Tensor Imaging Analysis Pipeline

Matthan W.A. Caan;Frans M. Vos;Antoine H.C. van Kampen;Silvia D. Olabarriaga;Lucas J. van Vliet

2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
Year: 2010 | Conference Paper |
Cited by: Papers (2) | Patents (8)
Diffusion Tensor MRI (DTI) is a rather recent image acquisition modality that can help identify disease processes in nerve bundles in the brain. Due to the large and complex nature of such data, its analysis requires new and sophisticated pipelines that are more efficiently executed within a grid environment. We present our progress over the past four years in the development and porting of the DT...Show More

Gridifying a Diffusion Tensor Imaging Analysis Pipeline

Matthan W.A. Caan;Frans M. Vos;Antoine H.C. van Kampen;Silvia D. Olabarriaga;Lucas J. van Vliet

Year: 2010 | Conference Paper |

A patient-specific coronary density estimate

R. Shahzad;M. Schaap;T. van Walsum;S. Klien;A. C. Weustink;L. J. van Vliet;W. J. Niessen

2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro
Year: 2010 | Conference Paper |
Cited by: Papers (9)
A reliable density estimate for the position of the coronary arteries in Computed Tomography (CT) data is beneficial for many coronary image processing applications, such as vessel tracking, lumen segmentations, and calcium scoring. This paper presents a method for obtaining an estimate of the coronary artery location in CT and CT angiography (CTA). The proposed method constructs a patient-specifi...Show More

A patient-specific coronary density estimate

R. Shahzad;M. Schaap;T. van Walsum;S. Klien;A. C. Weustink;L. J. van Vliet;W. J. Niessen

Year: 2010 | Conference Paper |

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