Transfer Learning for the Fully Automatic Segmentation of Left Ventricle Myocardium in Porcine Cardiac Cine MR Images

2018 ◽  
pp. 21-31 ◽  
Author(s):  
Antong Chen ◽  
Tian Zhou ◽  
Ilknur Icke ◽  
Sarayu Parimal ◽  
Belma Dogdas ◽  
...  
Keyword(s):  
Left Ventricle ◽  
Transfer Learning ◽  
Automatic Segmentation ◽  
Mr Images ◽  
Cine Mr ◽  
Cardiac Cine ◽  
Fully Automatic ◽  
Left Ventricle Myocardium

scholarly journals Fully Automatic Left Ventricle Segmentation in Cardiac Cine MR Images Using Registration and Minimum Surfaces

2009 ◽  
Author(s):  
Marie-pierre Jolly
Keyword(s):  
Left Ventricle ◽  
Shortest Paths ◽  
Blood Pool ◽  
Grand Challenge ◽  
Mr Images ◽  
Cine Mr ◽  
Cardiac Cine ◽  
Cine Study ◽  
Fully Automatic ◽  
Ventricle Segmentation

This paper describes a fully automatic system to segment the left ventricle in all slices and all phases of a magnetic resonance cardiac cine study. After localizing the left ventricle blood pool using motion, thresholding and clustering, slices are segmented sequentially. For each slice, deformable registration is used to align all the phases, candidate contours are recovered in the average image using shortest paths, and a minimal surface is built to generate the final contours. The advantage of our method is that the resulting contours follow the edges in each phase and are consistent over time. As part of the MICCAI grand challenge on left ventricle segmentation, we demonstrate using 15 training datasets and 15 validation datasets that the results are very good with average errors around 2 mm and the method is ready for clinical routine.

scholarly journals A deep learning-based approach for automatic segmentation and quantification of the left ventricle from cardiac cine MR images

2020 ◽  
Vol 81 ◽  
pp. 101717 ◽  
Author(s):  
Hisham Abdeltawab ◽  
Fahmi Khalifa ◽  
Fatma Taher ◽  
Norah Saleh Alghamdi ◽  
Mohammed Ghazal ◽  
...  
Keyword(s):  
Deep Learning ◽  
Left Ventricle ◽  
Automatic Segmentation ◽  
Mr Images ◽  
Cine Mr ◽  
Cardiac Cine

An SPCNN-GVF-based approach for the automatic segmentation of left ventricle in cardiac cine MR images

2016 ◽  
Vol 11 (11) ◽  
pp. 1951-1964 ◽  
Author(s):  
Yurun Ma ◽  
Li Wang ◽  
Yide Ma ◽  
Min Dong ◽  
Shiqiang Du ◽  
...  
Keyword(s):  
Left Ventricle ◽  
Automatic Segmentation ◽  
Mr Images ◽  
Cine Mr ◽  
Cardiac Cine

Fully automatic, retrospective enhancement of real-time acquired cardiac cine MR images using image-based navigators and respiratory motion-corrected averaging

2008 ◽  
Vol 59 (4) ◽  
pp. 771-778 ◽  
Author(s):  
Peter Kellman ◽  
Christophe Chefd'hotel ◽  
Christine H. Lorenz ◽  
Christine Mancini ◽  
Andrew E. Arai ◽  
...  
Keyword(s):  
Real Time ◽  
Respiratory Motion ◽  
Mr Images ◽  
Cine Mr ◽  
Cardiac Cine ◽  
Fully Automatic

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.

scholarly journals Automatic segmentation of right ventricle in cardiac cine MR images using a saliency analysis

2016 ◽  
Vol 43 (12) ◽  
pp. 6270-6281 ◽  
Author(s):  
Angélica Atehortúa ◽  
Maria A. Zuluaga ◽  
Juan D. García ◽  
Eduardo Romero
Keyword(s):  
Right Ventricle ◽  
Automatic Segmentation ◽  
Mr Images ◽  
Cine Mr ◽  
Cardiac Cine ◽  
Saliency Analysis
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