Automatic cardiac MRI segmentation using a biventricular deformable medial model

Authors:
Hui Sun;Alejandro F. Frangi;Hongzhi Wang;Federico M. Sukno;Catalina Tobon-Gomez;Paul A. Yushkevich
Affiliations:
Penn Image Computing and Science Laboratory, Department of Radiology, University of Pennsylvania, Philadelphia;Center for Computational Imaging & Simulation Technologies in Biomedicine, Universitat Pompeu Fabra, Barcelona, Spain and Centro de Investigación Biomédica en Red en Bioingenierí ...;Penn Image Computing and Science Laboratory, Department of Radiology, University of Pennsylvania, Philadelphia;Center for Computational Imaging & Simulation Technologies in Biomedicine, Universitat Pompeu Fabra, Barcelona, Spain and Centro de Investigación Biomédica en Red en Bioingenierí ...;Center for Computational Imaging & Simulation Technologies in Biomedicine, Universitat Pompeu Fabra, Barcelona, Spain and Centro de Investigación Biomédica en Red en Bioingenierí ...;Penn Image Computing and Science Laboratory, Department of Radiology, University of Pennsylvania, Philadelphia
Venue:
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part I
Year:
2010

Citing 10
Cited 6

Representation of local geometry in the visual system

Biological Cybernetics
Generalized B-spline surfaces of arbitrary topology

SIGGRAPH '90 Proceedings of the 17th annual conference on Computer graphics and interactive techniques
Active shape models—their training and application

Computer Vision and Image Understanding
A decision-theoretic generalization of on-line learning and an application to boosting

Journal of Computer and System Sciences - Special issue: 26th annual ACM symposium on the theory of computing & STOC'94, May 23–25, 1994, and second annual Europe an conference on computational learning theory (EuroCOLT'95), March 13–15, 1995
A Variational Approach for the Segmentation of the Left Ventricle in Cardiac Image Analysis

International Journal of Computer Vision
Volumetric Layer Segmentation Using Coupled Surfaces Propagation

CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
An Atlas-Based Segmentation Propagation Framework Using Locally Affine Registration --- Application to Automatic Whole Heart Segmentation

MICCAI '08 Proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, Part II
Cardiac Medial Modeling and Time-Course Heart Wall Thickness Analysis

MICCAI '08 Proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, Part II
Combining Registration and Minimum Surfaces for the Segmentation of the Left Ventricle in Cardiac Cine MR Images

MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part II
A 3-D Active Shape Model Driven by Fuzzy Inference: Application to Cardiac CT and MR

IEEE Transactions on Information Technology in Biomedicine

Automatic delineation of left and right ventricles in cardiac MRI sequences using a joint ventricular model

FIMH'11 Proceedings of the 6th international conference on Functional imaging and modeling of the heart
Active shape model with inter-profile modeling paradigm for cardiac right ventricle segmentation

MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Optimal medial surface generation for anatomical volume representations

MICCAI'12 Proceedings of the 4th international conference on Abdominal Imaging: computational and clinical applications
Deformable modeling using a 3D boundary representation with quadratic constraints on the branching structure of the blum skeleton

IPMI'13 Proceedings of the 23rd international conference on Information Processing in Medical Imaging
A validation benchmark for assessment of medial surface quality for medical applications

ICVS'13 Proceedings of the 9th international conference on Computer Vision Systems
Accurate reconstruction of 3D cardiac geometry from coarsely-sliced MRI

Computer Methods and Programs in Biomedicine

Quantified Score

Hi-index	0.00

Visualization

Abstract

We present a novel approach for automatic segmentation of the myocardium in short-axis MRI using deformable medial models with an explicit representation of thickness. Segmentation is constrained by a Markov prior on myocardial thickness. Best practices from Active Shape Modeling (global PCA shape prior, statistical appearance model, local search) are adapted to the medial model. Segmentation performance is evaluated by comparing to manual segmentation in a heterogeneous adult MRI dataset. Average boundary displacement error is under 1.4mm for left and right ventricles, comparing favorably with published work.