Respiratory self-navigation for whole-heart bright-blood coronary MRI: Methods for robust isolation and automatic segmentation of the blood pool

2011 ◽  
Vol 68 (2) ◽  
pp. 571-579 ◽  
Author(s):  
Davide Piccini ◽  
Arne Littmann ◽  
Sonia Nielles-Vallespin ◽  
Michael O. Zenge
Keyword(s):  
Automatic Segmentation ◽  
Blood Pool ◽  
Whole Heart ◽  
Bright Blood ◽  
Coronary Mri

scholarly journals Accelerated high-resolution free-breathing 3D whole-heart T2-prepared black-blood and bright-blood cardiovascular magnetic resonance

2020 ◽  
Vol 22 (1) ◽  
Author(s):  
Teresa Correia ◽  
Giulia Ginami ◽  
Imran Rashid ◽  
Giovanna Nordio ◽  
Reza Hajhosseiny ◽  
...  
Keyword(s):  
Cardiovascular Magnetic Resonance ◽  
Magnetic Resonance ◽  
High Resolution ◽  
Healthy Subjects ◽  
Free Breathing ◽  
Black Blood ◽  
Contrast Injection ◽  
Post Contrast ◽  
Whole Heart ◽  
Bright Blood

Abstract Background The free-breathing 3D whole-heart T2-prepared Bright-blood and black-blOOd phase SensiTive inversion recovery (BOOST) cardiovascular magnetic resonance (CMR) sequence was recently proposed for simultaneous bright-blood coronary CMR angiography and black-blood late gadolinium enhancement (LGE) imaging. This sequence enables simultaneous visualization of cardiac anatomy, coronary arteries and fibrosis. However, high-resolution (< 1.4 × 1.4 × 1.4 mm3) fully-sampled BOOST requires long acquisition times of ~ 20 min. Methods In this work, we propose to extend a highly efficient respiratory-resolved motion-corrected reconstruction framework (XD-ORCCA) to T2-prepared BOOST to enable high-resolution 3D whole-heart coronary CMR angiography and black-blood LGE in a clinically feasible scan time. Twelve healthy subjects were imaged without contrast injection (pre-contrast BOOST) and 10 patients with suspected cardiovascular disease were imaged after contrast injection (post-contrast BOOST). A quantitative analysis software was used to compare accelerated pre-contrast BOOST against the fully-sampled counterpart (vessel sharpness and length of the left and right coronary arteries). Moreover, three cardiologists performed diagnostic image quality scoring for clinical 2D LGE and both bright- and black-blood 3D BOOST imaging using a 4-point scale (1–4, non-diagnostic–fully diagnostic). A two one-sided test of equivalence (TOST) was performed to compare the pre-contrast BOOST images. Nonparametric TOST was performed to compare post-contrast BOOST image quality scores. Results The proposed method produces images from 3.8 × accelerated non-contrast-enhanced BOOST acquisitions with comparable vessel length and sharpness to those obtained from fully- sampled scans in healthy subjects. Moreover, in terms of visual grading, the 3D BOOST LGE datasets (median 4) and the clinical 2D counterpart (median 3.5) were found to be statistically equivalent (p < 0.05). In addition, bright-blood BOOST images allowed for visualization of the proximal and middle left anterior descending and right coronary sections with high diagnostic quality (mean score > 3.5). Conclusions The proposed framework provides high‐resolution 3D whole-heart BOOST images from a single free-breathing acquisition in ~ 7 min.

Right Ventricle Segmentation from Heart using Active Contour Model without Edge and Split Plane Decision

2018 ◽  
Vol 7 (3.33) ◽  
pp. 1
Author(s):  
Ho Chul Kang ◽  
. .
Keyword(s):  
Right Ventricle ◽  
Processing Time ◽  
Active Contour Model ◽  
Automatic Segmentation ◽  
Total Processing Time ◽  
Anisotropic Diffusion Filter ◽  
Computational Performance ◽  
Volume Of Interest ◽  
Whole Heart ◽  
Cardiac Diagnosis

In this paper, we propose an automatic segmentation method of right ventricle from computed tomography angiography (CTA) using Chan-Vese model and split plane detection. First, we remove noise in the images by applying anisotropic diffusion filter and extract the whole heart using Otsu Thresholding. Second, the volume of interest (VOI) is detected by Chan-Vese model and morpholotical operation. Third, we divide the heart to left and right region using power watershed. Finally we detect split plane which divide right heart to right ventricle and atrium. We tested our method in ten CT images and they were obtained from a different patient. For the evaluation of the computational performance of the proposed method, we measured the total processing time. The average of total processing time, from first step to third step, was 13.92±1.28 s. We expect for our method to be used in cardiac diagnosis for cardiologist.  

scholarly journals Accelerated isotropic sub-millimeter whole-heart coronary MRI: Compressed sensing versus parallel imaging

2013 ◽  
Vol 71 (2) ◽  
pp. 815-822 ◽  
Author(s):  
Mehmet Akçakaya ◽  
Tamer A. Basha ◽  
Raymond H. Chan ◽  
Warren J. Manning ◽  
Reza Nezafat
Keyword(s):  
Compressed Sensing ◽  
Parallel Imaging ◽  
Whole Heart ◽  
Coronary Mri

scholarly journals Accelerated contrast-enhanced whole-heart coronary MRI using low-dimensional-structure self-learning and thresholding

2012 ◽  
Vol 67 (5) ◽  
pp. spcone-spcone
Author(s):  
Mehmet Akçakaya ◽  
Tamer A. Basha ◽  
Raymond H. Chan ◽  
Hussein Rayatzadeh ◽  
Kraig V. Kissinger ◽  
...  
Keyword(s):  
Dimensional Structure ◽  
Contrast Enhanced ◽  
Low Dimensional ◽  
Whole Heart ◽  
Self Learning ◽  
Coronary Mri

scholarly journals Non‐contrast enhanced simultaneous 3D whole‐heart bright‐blood pulmonary veins visualization and black‐blood quantification of atrial wall thickness

2018 ◽  
Vol 81 (2) ◽  
pp. 1066-1079 ◽  
Author(s):  
Giulia Ginami ◽  
Karina Lòpez ◽  
Rahul K. Mukherjee ◽  
Radhouene Neji ◽  
Camila Munoz ◽  
...  
Keyword(s):  
Wall Thickness ◽  
Pulmonary Veins ◽  
Black Blood ◽  
Atrial Wall ◽  
Contrast Enhanced ◽  
Whole Heart ◽  
Bright Blood

scholarly journals Contrast-enhanced whole heart coronary MRI with a bolus infusion of gadobenate dimeglumine at 1.5 t

2010 ◽  
Vol 12 (S1) ◽  
Author(s):  
Peng Hu ◽  
Jonathan Chan ◽  
Jouke Smink ◽  
Beth Goddu ◽  
Kraig V Kissinger ◽  
...  
Keyword(s):  
Gadobenate Dimeglumine ◽  
Bolus Infusion ◽  
Contrast Enhanced ◽  
Whole Heart ◽  
Coronary Mri

scholarly journals Accelerated contrast-enhanced whole-heart coronary MRI using low-dimensional-structure self-learning and thresholding

2012 ◽  
Vol 67 (5) ◽  
pp. 1434-1443 ◽  
Author(s):  
Mehmet Akçakaya ◽  
Tamer A. Basha ◽  
Raymond H. Chan ◽  
Hussein Rayatzadeh ◽  
Kraig V. Kissinger ◽  
...  
Keyword(s):  
Dimensional Structure ◽  
Contrast Enhanced ◽  
Low Dimensional ◽  
Whole Heart ◽  
Self Learning ◽  
Coronary Mri

scholarly journals Case Report: A Clinical Example for the Utility of TRAMINER, a Novel MRI Sequence for Differentiation of Bright Blood-Pool and Subtle Sub-Endocardial Scar

2017 ◽  
Vol 26 ◽  
pp. S249-S250
Author(s):  
A. Selvarajah ◽  
A. Abraham ◽  
P. Saklani ◽  
L. Maddren ◽  
S. Noronha
Keyword(s):  
Case Report ◽  
Blood Pool ◽  
Bright Blood
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