BioMed Research International

Validation of Quantitative Measurements in Cardiovascular Imaging


Status
Published

1University Medical Center Groningen, Groningen, The Netherlands

2Sapienza University of Rome, Rome, Italy

3University Medical Center Göttingen, Göttingen, Germany

4University of Ulm, Ulm, Germany


Validation of Quantitative Measurements in Cardiovascular Imaging

Description

Recent developments in cardiovascular imaging have shown a trend towards quantitative measurement of findings. These quantitative measurements could eventually be the basis to obtain quantitative imaging biomarkers that could be used to predict, diagnose, and treat disease. However, the first step to achieve quantitative imaging biomarkers is to establish proper validation of these quantitative measurements to ensure that the numbers obtained from the imaging data are reliable, reproducible, accurate, and clinically useful.

We invite investigators to contribute original research articles as well as review articles that will increase the evidence required to achieve quantitative imaging biomarkers in cardiovascular imaging by validation of those quantitative measurements in phantoms, animal models, and clinical data. The scope of this special issue concerns all quantifiable cardiovascular measures, ranging from 2D and 3D measurements such as stenosis and plaque quantification to 4D measurements such as myocardial perfusion and left and right ventricular function. The scope also includes all imaging modalities used in cardiovascular imaging (CT, MR, angiography, and ultrasound).

Potential topics include, but are not limited to:

  • Validation of algorithms
  • Effect of acquisition protocols on quantitative imagings
  • Validation of (commercial) software tools
  • Exploration of novel quantitative measurements

Articles

  • Special Issue
  • - Volume 2015
  • - Article ID 321623
  • - Editorial

Validation of Quantitative Measurements in Cardiovascular Imaging

Peter M. A. van Ooijen | Marco Francone | ... | Volker Rasche
  • Special Issue
  • - Volume 2015
  • - Article ID 648283
  • - Research Article

Semiautomatic, Quantitative Measurement of Aortic Valve Area Using CTA: Validation and Comparison with Transthoracic Echocardiography

V. Tuncay | N. Prakken | ... | M. Oudkerk
  • Special Issue
  • - Volume 2015
  • - Article ID 215910
  • - Review Article

The Fetal Modified Myocardial Performance Index: Is Automation the Future?

Priya Maheshwari | Amanda Henry | Alec W. Welsh
  • Special Issue
  • - Volume 2015
  • - Article ID 232649
  • - Research Article

Importance of Reference Muscle Selection in Quantitative Signal Intensity Analysis of T2-Weighted Images of Myocardial Edema Using a T2 Ratio Method

Iacopo Carbone | Helene Childs | ... | Matthias G. Friedrich
  • Special Issue
  • - Volume 2015
  • - Article ID 970357
  • - Research Article

Validation and Development of a New Automatic Algorithm for Time-Resolved Segmentation of the Left Ventricle in Magnetic Resonance Imaging

Jane Tufvesson | Erik Hedström | ... | Einar Heiberg
  • Special Issue
  • - Volume 2015
  • - Article ID 293163
  • - Review Article

Use of Contrast-Enhanced Ultrasound in Carotid Atherosclerotic Disease: Limits and Perspectives

Gianfranco Varetto | Lorenzo Gibello | ... | Pietro Rispoli
  • Special Issue
  • - Volume 2015
  • - Article ID 412716
  • - Research Article

Development of an Ex Vivo, Beating Heart Model for CT Myocardial Perfusion

Gert Jan Pelgrim | Marco Das | ... | Rozemarijn Vliegenthart
  • Special Issue
  • - Volume 2015
  • - Article ID 819102
  • - Research Article

Free-Breathing 3D Imaging of Right Ventricular Structure and Function Using Respiratory and Cardiac Self-Gated Cine MRI

Yanchun Zhu | Jing Liu | ... | Yi Wang
BioMed Research International
 Journal metrics
Acceptance rate31%
Submission to final decision81 days
Acceptance to publication53 days
CiteScore2.410
Impact Factor2.197
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