Automatic Localization and Segmentation of Left Ventricle from Short Axis Cine MR Images: An Image Driven Method

2012 ◽  
pp. 87-99 ◽  
Author(s):  
G. Dharanibai ◽  
J. P. Raina
Keyword(s):  
Left Ventricle ◽  
Short Axis ◽  
Short Axis Cine ◽  
Mr Images ◽  
Cine Mr ◽  
Automatic Localization

scholarly journals An Image-Based Comprehensive Approach for Automatic Segmentation of Left Ventricle from Cardiac Short Axis Cine MR Images

2010 ◽  
Vol 24 (4) ◽  
pp. 598-608 ◽  
Author(s):  
Su Huang ◽  
Jimin Liu ◽  
Looi Chow Lee ◽  
Sudhakar K Venkatesh ◽  
Lynette Li San Teo ◽  
...  
Keyword(s):  
Left Ventricle ◽  
Automatic Segmentation ◽  
Comprehensive Approach ◽  
Short Axis ◽  
Short Axis Cine ◽  
Mr Images ◽  
Cine Mr

Automatic localization of the left ventricular blood pool centroid in short axis cardiac cine MR images

2017 ◽  
Vol 56 (6) ◽  
pp. 1053-1062 ◽  
Author(s):  
Li Kuo Tan ◽  
Yih Miin Liew ◽  
Einly Lim ◽  
Yang Faridah Abdul Aziz ◽  
Kok Han Chee ◽  
...  
Keyword(s):  
Blood Pool ◽  
Left Ventricular ◽  
Short Axis ◽  
Mr Images ◽  
Cine Mr ◽  
Cardiac Cine ◽  
Automatic Localization

Learning-Based Heart Coverage Estimation for Short-Axis Cine Cardiac MR Images

2017 ◽  
pp. 73-82 ◽  
Author(s):  
Giacomo Tarroni ◽  
Ozan Oktay ◽  
Wenjia Bai ◽  
Andreas Schuh ◽  
Hideaki Suzuki ◽  
...  
Keyword(s):  
Short Axis ◽  
Short Axis Cine ◽  
Mr Images ◽  
Cardiac Mr ◽  
Coverage Estimation

scholarly journals Segmentation of the Left Ventricle from Cine MR Images Using a Comprehensive Approach

2009 ◽  
Author(s):  
Su Huang ◽  
Jimin Liu ◽  
Looi Chow Lee ◽  
Sudhakar K Venkatesh ◽  
Lynette Li San Teo ◽  
...  
Keyword(s):  
Left Ventricle ◽  
Gold Standard ◽  
Practical Method ◽  
Comprehensive Approach ◽  
Mr Images ◽  
Multiple Image ◽  
Cardiac Image ◽  
Cine Mr ◽  
Segmentation Methods ◽  
Cardiac Image Segmentation

Segmentation of the left ventricle is important in assessment of cardiac functional parameters. Currently, manual segmentation is the gold standard for acquiring these parameters and can be time-consuming. Therefore, accuracy and automation are two important criteria in improving cardiac image segmentation methods. In this paper, we present a comprehensive approach that utilizes various features of cine MR images and combines multiple image processing methods including thresholding, edge detection, mathematical morphology, deformable model as well as image filtering. The segmentation is performed automatically with minimized interaction to optimize segmentation results. This approach provides cardiac radiologists a practical method for accurate segmentation of the left ventricle.

scholarly journals Evaluation of the Dynamic Deformable Elastic Template model for the segmentation of the heart in MRI sequences

2009 ◽  
Author(s):  
Christopher Casta ◽  
Patrick Clarysse ◽  
Joël Schaerer ◽  
Jérome Pousin
Keyword(s):  
Left Ventricle ◽  
Cine Mri ◽  
Mr Images ◽  
Temporal Segmentation ◽  
Cine Mr ◽  
Current Implementation ◽  
Segmentation Accuracy ◽  
Mri Sequences ◽  
Spatio Temporal ◽  
Left Ventricle Myocardium

We introduce a bio-inspired dynamic deformable (DET) model based on the equation of dynamics and including temporal smoothness constraints. The behaviour and characteristics of the dynamic DET model is studied in the context of the semi automatic spatio-temporal segmentation of the left ventricle myocardium in cine-MR images. The segmentation accuracy for endo/epicardium contours at end-diastole and end-systole, and as consequence the performance and limits of the current implementation, is evaluated in the context of the MICCAI LV Segmentation Challenge on a database of 15 multi-slice cine-MRI examinations.

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