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Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge

Avan Suinesiaputra, Pierre Ablin, Xenia Alba, Martino Alessandrini, Jack Allen, Wenjia Bai, Serkan Cimen, Peter Claes, Brett R. Cowan, Jan Dhooge, Nicolas Duchateau, Jan Ehrhardt (+24 others)
2018 IEEE journal of biomedical and health informatics  
After myocardial infarction (MI), the left ventricle typically remodels in response to physiological challenges.  ...  The goals of this challenge were to (1) establish a common dataset Manuscript for evaluating statistical shape modeling algorithms in MI, and (2) test whether statistical shape modeling provides additional  ...  future applications, (iii) specific shape features have been identified which best describe adverse remodeling of the left ventricle after myocardial infarction.  ... 
doi:10.1109/jbhi.2017.2652449 pmid:28103561 pmcid:PMC5857476 fatcat:nleldiqd3vdnnduhmwiodpsumi

Aortopulmonary collaterals in single ventricle patients

Lars Grosse-Wortmann, Shi-Joon Yoo
2009 Journal of Cardiovascular Magnetic Resonance  
For quantitative assessment of infarct morphology late gadolinium enhancement (LGE) was performed including measurement of total and relative infarct mass (related to LV mass) and the degree of transmurality  ...  myocardial infarction (CMI) and an increased risk for life threatening ventricular arrhythmia (VA).  ...  Conclusion: We presented a robust, accurate and efficient method for the fully automatic delineation of the myocardium contours in LA + SA cine CMR images, which can be used for accurate LV functional  ... 
doi:10.1186/1532-429x-11-s1-p262 fatcat:lorpiq2nezfchn74nssnzdgaz4

From 2D to 4D in quantitative left ventricle wall motion analysis of biplanar X-ray angiograms

R. Swoboda, M. Carpella, C. Steinwender, C. Gabriel, F. Leisch, W. Backfrieder
2005 Computers in Cardiology, 2005  
Accurate assessment of regional myocardial function after infarction is a challenging task in biplanar X-ray cineangiography.  ...  An estimate of motion is given by tracking contours of the left ventricle (LV) in projection images.  ...  Acknowledgements This work was funded by Grant Wi(Ge)206490 of the State Government of Upper Austria.  ... 
doi:10.1109/cic.2005.1588272 fatcat:sauhuioo5ndgrkrh5erol3uxz4

Cardiac MRI Image Segmentation for Left Ventricle and Right Ventricle using Deep Learning [article]

Bosung Seo, Daniel Mariano, John Beckfield, Vinay Madenur, Yuming Hu, Tony Reina, Marcus Bobar, Mai H. Nguyen, Ilkay Altintas
2019 arXiv   pre-print
The goal of this project is to use magnetic resonance imaging (MRI) data to provide an end-to-end analytics pipeline for left and right ventricle (LV and RV) segmentation.  ...  Another aim of the project is to find a model that would be generalizable across medical imaging datasets.  ...  The DETERMINE study comprises of patients with coronary artery disease and regional wall motion abnormalities due to prior myocardial infarction.  ... 
arXiv:1909.08028v1 fatcat:wlk7tvn72vhkrd22ipdp6ydezq

Evaluation of state-of-the-art segmentation algorithms for left ventricle infarct from late Gadolinium enhancement MR images

Rashed Karim, Pranav Bhagirath, Piet Claus, R. James Housden, Zhong Chen, Zahra Karimaghaloo, Hyon-Mok Sohn, Laura Lara Rodríguez, Sergio Vera, Xènia Albà, Anja Hennemuth, Heinz-Otto Peitgen (+7 others)
2016 Medical Image Analysis  
Evaluation of state-of-the-art segmentation algorithms for left ventricle infarct from late Gadolinium enhancement MR images. Medical Image Analysis, 30, 95-107. https://doi.  ...  The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health. Miguel A.  ...  Acknowledgements The author acknowledges support from the King's College London Centre of Excellence in Medical Engineering funded by the Wellcome Trust and EPSRC (WT 088641/Z/09/Z).  ... 
doi:10.1016/j.media.2016.01.004 pmid:26891066 fatcat:6oorwgdvczbxtcu2w3m3thor7e

Left Ventricle Segmentation and Quantification from Cardiac Cine MR Images via Multi-task Learning [article]

Shusil Dangi, Ziv Yaniv, Cristian A. Linte
2018 arXiv   pre-print
Segmentation of the left ventricle and quantification of various cardiac contractile functions is crucial for the timely diagnosis and treatment of cardiovascular diseases.  ...  the myocardial area with mean absolute difference error of 205±198 mm^2.  ...  Segmentation of the left ventricle (LV) allows us to compute these cardiac parameters, and also to generate high quality anatomical models for surgical planning, guidance, and regional analysis of the  ... 
arXiv:1809.10221v1 fatcat:wxixbq4grfhs3flypumjqjjrha

Left Ventricle Segmentation Using Diffusion Wavelets and Boosting [chapter]

Salma Essafi, Georg Langs, Nikos Paragios
2009 Lecture Notes in Computer Science  
shape model constraint.  ...  Appearance saliency is encoded in the model and segmentation is performed through the extraction and classification of the corresponding features in a new data set, as well as a diffusion wavelet based  ...  The use of edge-driven terms with regional statistics along either with deformable contours or active shape and appearance models.  ... 
doi:10.1007/978-3-642-04271-3_111 fatcat:umif4hrc3vbftcrb6yea2frnj4

Imaging Diagnosis of Right Ventricle Involvement in Chagas Cardiomyopathy

Minna M. D. Romano, Henrique T. Moreira, André Schmidt, Benedito Carlos Maciel, José Antônio Marin-Neto
2017 BioMed Research International  
Echocardiography has been a widespread and low-cost option for the study of patients with CD but, when applied to the RV assessment, faces difficulties such as the absence of a geometrical shape to represent  ...  More recently, the technique has evolved to a focused guided RV imaging and myocardial deformation analysis.  ...  Conflicts of Interest The authors declare that there are no conflicts of interest regarding the publication of this paper.  ... 
doi:10.1155/2017/3820191 pmid:28929112 pmcid:PMC5592008 fatcat:62iwnmxgyjgl5btyn4szfzq3f4

Automatic functional analysis of left ventricle in cardiac cine MRI

Ying-Li Lu, Kim A Connelly, Alexander J Dick, Graham A Wright, Perry E Radau
2013 Quantitative Imaging in Medicine and Surgery  
The proposed automatic method locates the left ventricle (LV), then for each image detects the contours of the endocardium, epicardium, papillary muscles and trabeculations.  ...  A fully automated left ventricle segmentation method for the functional analysis of cine short axis (SAX) magnetic resonance (MR) images was developed, and its performance evaluated with 133 studies of  ...  Disclosure: The authors declare no conflict of interest.  ... 
doi:10.3978/j.issn.2223-4292.2013.08.02 pmid:24040616 pmcid:PMC3759139 fatcat:j5lsureg3vb5bk64byuzoht7j4

Automated Left Ventricle Ischemic Scar Detection in CT Using Deep Neural Networks

Hugh O'Brien, John Whitaker, Baldeep Singh Sidhu, Justin Gould, Tanja Kurzendorfer, Mark D. O'Neill, Ronak Rajani, Karine Grigoryan, Christopher Aldo Rinaldi, Jonathan Taylor, Kawal Rhode, Peter Mountney (+1 others)
2021 Frontiers in Cardiovascular Medicine  
The CNN was compared against manual reading of the CTA dataset by 3 experts.Results: Note that 84.7% cross-validated accuracy (AUC: 0.896) for detecting scar slices in the left ventricle on the MRI data  ...  MRIs were segmented to produce 3D left ventricle meshes, which were sampled at points along the short axis to extract anatomical masks, with scar labels from LGE as ground truth.  ...  Left ventricle (LV) shape extracted from MRI can be used to identify scar across the whole ventricle (14) .  ... 
doi:10.3389/fcvm.2021.655252 fatcat:vgmw3rajcbbi3h6nhvvp2wi6jy

Altered right ventricular papillary muscle position and orientation in patients with dilated left ventricles

Erin M Spinner, Kartik Sundareswaran, Lakshimi Dasi, Vinod H Thourani, John Oshinski, Ajit P Yoganathan
2009 Journal of Cardiovascular Magnetic Resonance  
For quantitative assessment of infarct morphology late gadolinium enhancement (LGE) was performed including measurement of total and relative infarct mass (related to LV mass) and the degree of transmurality  ...  myocardial infarction (CMI) and an increased risk for life threatening ventricular arrhythmia (VA).  ...  Conclusion: We presented a robust, accurate and efficient method for the fully automatic delineation of the myocardium contours in LA + SA cine CMR images, which can be used for accurate LV functional  ... 
doi:10.1186/1532-429x-11-s1-p71 fatcat:ubdliirljndxrf4z7hrt4z6ahe

The right ventricle shows distinct wall motion characteristics in L-TGA vs. D-TGA/atrial switch

Michelle Savacool, Philip Kilner, David Sahn, Willem Helbing, Harold Litt, Emanuela Valsangiacomo, Florence Sheehan
2009 Journal of Cardiovascular Magnetic Resonance  
For quantitative assessment of infarct morphology late gadolinium enhancement (LGE) was performed including measurement of total and relative infarct mass (related to LV mass) and the degree of transmurality  ...  myocardial infarction (CMI) and an increased risk for life threatening ventricular arrhythmia (VA).  ...  Conclusion: We presented a robust, accurate and efficient method for the fully automatic delineation of the myocardium contours in LA + SA cine CMR images, which can be used for accurate LV functional  ... 
doi:10.1186/1532-429x-11-s1-p28 fatcat:vlokptxsrndplk3twizp6xse24

Dependence of arterial input function on position in the left ventricle and time in the cardiac cycle

Nicholas S DuRocher, Elodie Breton, Sohae Chung, Daniel Kim, Leon Axel
2009 Journal of Cardiovascular Magnetic Resonance  
For quantitative assessment of infarct morphology late gadolinium enhancement (LGE) was performed including measurement of total and relative infarct mass (related to LV mass) and the degree of transmurality  ...  myocardial infarction (CMI) and an increased risk for life threatening ventricular arrhythmia (VA).  ...  Conclusion: We presented a robust, accurate and efficient method for the fully automatic delineation of the myocardium contours in LA + SA cine CMR images, which can be used for accurate LV functional  ... 
doi:10.1186/1532-429x-11-s1-p213 fatcat:vmmtrneihjafzcosslj7a4lori

Cardiac Magnetic Resonance Left Ventricle Segmentation and Function Evaluation Using a Trained Deep-Learning Model

Fumin Guo, Matthew Ng, Idan Roifman, Graham Wright
2022 Applied Sciences  
Cardiac MRI is the gold standard for evaluating left ventricular myocardial mass (LVMM), end-systolic volume (LVESV), end-diastolic volume (LVEDV), stroke volume (LVSV), and ejection fraction (LVEF).  ...  Direct application of the pre-trained model yielded DSC of 0.74 ± 0.12 for LVM and 0.87 ± 0.12 for LVC. After fine-tuning, DSC was 0.81 ± 0.09 for LVM and 0.90 ± 0.09 for LVC.  ...  Acknowledgments: We acknowledge the use of the facilities of Compute Canada. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app12052627 fatcat:2zltjk4jm5amxebikbydfnis5m

Ensemble of 2D Residual Neural Networks Integrated with Atrous Spatial Pyramid Pooling Module for Myocardium Segmentation of Left Ventricle Cardiac MRI

Iftikhar Ahmad, Abdul Qayyum, Brij B. Gupta, Madini O. Alassafi, Rayed A. AlGhamdi
2022 Mathematics  
Cardiac disease diagnosis and identification is problematic mostly by inaccurate segmentation of the cardiac left ventricle (LV).  ...  The proposed model can be employed for automatic detection and segmentation of the myocardium border for precise quantification of reflow, myocardial infarction, myocarditis, and h cardiomyopathy (HCM)  ...  The authors acknowledge technical and financial support from the Ministry of Education and King Abdulaziz University, DSR, Jeddah, Saudi Arabia.  ... 
doi:10.3390/math10040627 fatcat:g7e772hj5neerhdrkz5xupufem
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