Segmentation of the left ventricle in cardiac cine MRI using a shape-constrained snake model

Wu, Yuwei; Wang, Yuanquan; Jia, Yingmin

doi:10.1016/j.cviu.2012.12.008

Cited by 66 publications

(46 citation statements)

References 46 publications

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“…To the best of our knowledge, most of the segmentation algorithms in the literature use a circular or elliptic shape in the center of the slice as the initial contour for the LV [3,4,6]. Nevertheless, these assumptions will fail specially in case of abnormality and muscle deficiency.…”

Section: Initial Contour Extractionmentioning

confidence: 99%

“…They generate the initial contour through a labeling/recognition process using Topographic Independent Component Analysis (TICA) learning and feature exaction technique. Wu et al [6] improved the LV segmentation accuracy by adding a circle-shape based term to the active contour energy function, representing the LV shape. Li et .al [7] proposed a distance regularization term for the level set algorithm in order to maintain the regularity of the level set function during its evolution.…”

Section: Introductionmentioning

confidence: 99%

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Factors Affecting the Segmentation of the Heart Ventricles in Short Axis Cardiac Perfusion MRI Images

Mousa

Zayed

Yassine

2016

IJCT

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I S S N 2277-3061 V o l u m e 1 5 N u m b e r 1 1 I n t e r n a t i o n a l J o u r n a l o f C o m p u t e r s & T e c h n o l o g y 7 2 1 8 | P a g e c o u n c i l f o r I n n o v a t i v e R e s e a r c h A u g u s t 2 0 1 6 w w w . c i r w o r l d . ABSTRACTCardiovascular diseases (CVDs) cause 31% of the death rate globally. Automatic accurate segmentation is needed for CVDs early detection. In this paper, we study the effect of the registration and initialization of the level set segmentation on the performance of extracting the heart ventricles for the short axis cardiac perfusion MRI images, as a result, we propose a modified workflow to automatically segment the ventricles by mitigating the levelset initial contour extraction in order to improve the segmentation results accuracy. In the registration experiments, the translational transformation was studied based on both the spatial and frequency domain. The frequency domain based registration is mainly established based on the phase correlation methodology. As for the segmentation experiments, the level set initialization was done through extracting the ventricles' real shape from each slice. Though, the final contour of any frame will be used as the initial contour for the next frame. The second initialization strategy was based on defining the initial contour for each frame using the polar representation of the image. Two short axis view datasets of cardiac magnetic resonance (CMR) perfusion imaging were used in testing the proposed methods. Dice coefficient, sensitivity, specificity and Hausdorff distance have been used to evaluate and validate the segmentation results. The system workflow consists of five main modules: preprocessing, localization, initial contour extraction, registration, and segmentation. The segmentation accuracy for left and right ventricles improved from 72% to 77% and from 70% to 81% using the spatial domain based registration algorithm. The polar-based initialization strategy improves the segmentation accuracy from 77% to 81% and from 81% to 82% for the left and right ventricles respectively.

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Section: Initial Contour Extractionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Factors Affecting the Segmentation of the Heart Ventricles in Short Axis Cardiac Perfusion MRI Images

Mousa

Zayed

Yassine

2016

IJCT

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“…Other important solutions that improve convergence of snakes for medical image segmentation include the work in [4,5]. In [4], Wu et al propose the gradient vector convolution (GVC) field as an external force, which is calculated by convolving the gradient map of an image with a defined kernel.…”

Section: Introductionmentioning

confidence: 99%

“…In [4], Wu et al propose the gradient vector convolution (GVC) field as an external force, which is calculated by convolving the gradient map of an image with a defined kernel. This method is, however, limited to segmenting specific anatomical regions such as the left ventricle in cardiac MRI.…”

Section: Introductionmentioning

confidence: 99%

“…Since first introduced by Kass et al [1], substantial work on parametric active contours, or snakes, has been achieved for their application in image segmentation, including medical images [2][3][4][5]. The main principle behind snakes is to model the movement of a dynamic curve towards an object's boundary under the influence of internal and external forces.…”

Section: Introductionmentioning

confidence: 99%

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Active contours based on weighted gradient vector flow and balloon forces for medical image segmentation

Khadidos

Sánchez

2014

2014 IEEE International Conference on Image Processing (ICIP)

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Copies of full items can be used for personal research or study, educational, or not-for profit purposes without prior permission or charge. Provided that the authors, title and full bibliographic details are credited, a hyperlink and/or URL is given for the original metadata page and the content is not changed in any way.Publisher's statement: "© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works." A note on versions:The version presented here may differ from the published version or, version of record, if you wish to cite this item you are advised to consult the publisher's version. Please see the 'permanent WRAP url' above for details on accessing the published version and note that access may require a subscription. ABSTRACTActive contours, or snakes, have been widely used for image segmentation purposes. However, high noise sensitivity and poor performance over weak edges are the most acute issues that hinder the segmentation accuracy of these curves, particularly in medical images. In order to overcome these issues, we propose a novel external force that integrates gradient vector flow (GVF) field forces and balloon forces based on a weighting factor computed according to local image features. The proposed external force reduces noise sensitivity, improves performance over weak edges and allows initialization with a single manually selected point. We evaluate the proposed external force for segmentation of various regions on real MRI and CT slices. Evaluation results show that the proposed approach leads to more accurate segmentation than snakes using traditional external forces.

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A personalized preoperative modeling system for internal fixation plates in long bone fracture surgery—A straightforward way from CT images to plate model

Liu

Zhang

et al. 2019

Robotics Computer Surgery

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Background Long bone fractures are a type of physical damage with high incidence rates that have serious impacts on the normal lives of humans. Aims How to obtain a preoperative internal fixation plate model before cutting muscle has become a critical issue. Materials and Methods In this paper, we present a new personalized modeling system for internal fixation plates in long bone fracture surgery. This system can achieve straight semi‐automatic processing from CT images to 3D models. First, broken bones are separated in CT images. Second, the axes of long broken bones are extracted using 3D models. Third, the vertices on the broken bone cross‐sections are segmented. Fourth, rough alignment and fine registration are implemented. Results An internal fixation plate is reconstructed for a long bone fracture. Discussion Three validations indicate that this method framework is reasonable and feasible. Conclusion This system can provide technical support for the personalized, minimally invasive and accurate operation on long bone fractures.

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Segmentation of the left ventricle in cardiac cine MRI using a shape-constrained snake model

Cited by 66 publications

References 46 publications

Factors Affecting the Segmentation of the Heart Ventricles in Short Axis Cardiac Perfusion MRI Images

Factors Affecting the Segmentation of the Heart Ventricles in Short Axis Cardiac Perfusion MRI Images

Active contours based on weighted gradient vector flow and balloon forces for medical image segmentation

A personalized preoperative modeling system for internal fixation plates in long bone fracture surgery—A straightforward way from CT images to plate model

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