scholarly journals Positioning the first short axis slice for ventricular volume analysis

2015 ◽  
Vol 17 (S1) ◽  
Author(s):  
Chris B Lawton ◽  
Nathan E Manghat ◽  
Mark Hamilton ◽  
Chiara Bucciarelli-Ducci
Author(s):  
A. Muller ◽  
A. Neitmann ◽  
N. Merkle ◽  
J. Wohrle ◽  
V. Hombach ◽  
...  

2014 ◽  
Vol 16 (Suppl 1) ◽  
pp. P228 ◽  
Author(s):  
Christopher Kelly ◽  
Vicente Grau ◽  
Stefan Neubauer ◽  
Robin Choudhury ◽  
Erica Dall'Armellina

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Namgyu Ho ◽  
Yoon-Chul Kim

AbstractIn computer-aided analysis of cardiac MRI data, segmentations of the left ventricle (LV) and myocardium are performed to quantify LV ejection fraction and LV mass, and they are performed after the identification of a short axis slice coverage, where automatic classification of the slice range of interest is preferable. Standard cardiac image post-processing guidelines indicate the importance of the correct identification of a short axis slice range for accurate quantification. We investigated the feasibility of applying transfer learning of deep convolutional neural networks (CNNs) as a means to automatically classify the short axis slice range, as transfer learning is well suited to medical image data where labeled data is scarce and expensive to obtain. The short axis slice images were classified into out-of-apical, apical-to-basal, and out-of-basal, on the basis of short axis slice location in the LV. We developed a custom user interface to conveniently label image slices into one of the three categories for the generation of training data and evaluated the performance of transfer learning in nine popular deep CNNs. Evaluation with unseen test data indicated that among the CNNs the fine-tuned VGG16 produced the highest values in all evaluation categories considered and appeared to be the most appropriate choice for the cardiac slice range classification.


Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Marta Jimenez-Blanco ◽  
Rebeca Lorca ◽  
Jose Manuel García-Ruiz ◽  
Gonzalo Pizarro ◽  
Rodrigo Fernández-Jiménez ◽  
...  

Background: The remodeling process that occurs following an acute myocardial infarction produces changes in the myocardial scar and the surrounding tissue. The spatial evolution of the scar has not been yet characterized using MRI. Purpose: To describe the spatial behavior of myocardial scar on its transmural and lateral dimensions following an acute myocardial infarction. Methods: A total of 220 patients with acutely reperfused anterior STEMI (METOCARD-CNIC trial population) were studied. All the patients underwent cardiac MRI at day 7 and 6 months after presentation. The spatial distribution of the scar was analyzed using short axis late gadolinium enhancement images. Endo and epicardial contours of each LV short axis slice was traced, and each one was divided by 100 cords for analysis (Figure 1A). The lateral extension was defined as the percentage of cords with enhancement in every slice, and the transmural extension as the percentage of enhancement within each cord, nested in the lateral extension (Figure 1B). All slices were weighed according to their relative mass. Data were compared by paired t test. Results: Six months after STEMI, myocardial scar was smaller in both dimensions (Figure 1C). Mean ± SEM lateral scar, as a percentage of cords affected, at 7 days and 6 months were, respectively, 27.9 ± 1.1 and 22.2 ± 1.0 (p < 0.001). Transmurality also decreased significantly, mean percentage at day 7 was 46.8 ± 1.5 and at 6 months 35.4 ± 1.4 (p < 0.001). All these changes were accompanied by an increase in LV end-diastolic volume (171.47 ± 2.5 and 190.61 ± 2.9 (p < 0.001)). Conclusions: The myocardial scar remodeling process following a STEMI includes a reduction in both its transmural and lateral extensions.


2005 ◽  
Vol 289 (2) ◽  
pp. H501-H512 ◽  
Author(s):  
Daniel Burkhoff ◽  
Israel Mirsky ◽  
Hiroyuki Suga

Assessment of left ventricular systolic and diastolic pump properties is fundamental to advancing the understanding of cardiovascular pathophysiology and therapeutics, especially for heart failure. The use of end-systolic and end-diastolic pressure-volume relationships derived from measurements of instantaneous left ventricular pressure-volume loops emerged in the 1970s as a comprehensive approach for this purpose. As invasive and noninvasive techniques for measuring ventricular volume improved over the past decades, these relations have become commonly used by basic, translational, and clinical researchers. This review summarizes 1) the basic concepts underlying pressure-volume analysis of ventricular and myocardial systolic and diastolic properties, 2) deviations from ideal conditions typically encountered in real-life applications, 3) how these relationships are appropriately analyzed, including statistical analyses, and 4) the most common problems encountered by investigators and the appropriate remedies. The goal is to provide practical information and simple guidelines for accurate application and interpretation of pressure-volume data as they pertain to characterization of ventricular and myocardial properties in health and disease.


1996 ◽  
Vol 69 (819) ◽  
pp. 221-225 ◽  
Author(s):  
S M Forbat ◽  
M A Sakrana ◽  
K H Darasz ◽  
F El-Demerdash ◽  
S R Underwood

Sign in / Sign up

Export Citation Format

Share Document