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Volume 18 Supplement 1

19th Annual SCMR Scientific Sessions

  • Poster presentation
  • Open Access

Whole heart self-navigated 3D radial MRI for the creation of virtual 3D models in congenital heart disease

  • 1, 2,
  • 1,
  • 3,
  • 1,
  • 4,
  • 1 and
  • 1, 5
Journal of Cardiovascular Magnetic Resonance201618 (Suppl 1) :P185

  • Published:


  • Congenital Heart Disease
  • Image Quality Assessment
  • Complex Congenital Heart Disease
  • bSSFP Sequence
  • Cardiovascular Anatomy


Three-dimensional (3D) virtual models are valuable tools that may help to better understand complex cardiovascular anatomy and facilitate surgical planning in patients with congenital heart disease (CHD). Although computed tomography (CT) images are used most commonly to create these models [1,2], Magnetic Resonance Imaging (MRI) may be an attractive alternative, since it offers superior soft-tissue characterization and flexible image contrast mechanisms, and avoids the use of ionizing radiation. However, segmentation on MRI images is inherently challenging due to noise/artifacts, magnetic field inhomogeneity, and relatively lower spatial resolution compared to CT. The purpose of this study was to evaluate the image quality and assess the feasibility of creating virtual 3D heart models using a novel prototype 3D whole heart self-navigated radial MRI technique.


Free-breathing self-navigated whole heart MRI was performed on three pediatric patients: two with complex CHD (average age=17 months) and one with normal cardiac anatomy (age=17years), using a 3D radial, non-slice-selective, T2-prepared, fat-saturated bSSFP sequence on a 1.5T MRI scanner (MAGNETOM Aera, Siemens, Germany). The acquisition window (~50-55 ms) was placed in mid-diastole and was adapted for different heart rates. Imaging parameters were as follows: TR/TE=3.1/1.56 ms, FOV=200 mm3, voxel size=1 mm3, FA=115°, and acquisition time=5-6 minutes (~12000 radial lines). Respiratory motion correction and image reconstruction was performed on the scanner as described in [3]. For comparison, conventional non-gated 3D FLASH or navigator-gated 3D bSSFP sequences were also performed. All results were blinded and randomized for image quality assessment by one pediatric cardiologist and one cardiac radiologist using a five-point scale (1=non-diagnostic, 2=poor, 3=adequate, 4=good, 5=excellent). Statistical analysis was performed to compare mean scores. DICOM images were imported to a 3D workstation (Mimics, Materialise, Leuven, Belgium) for 3D post-processing. The cardiovascular anatomy was first segmented using a combination of automated and manual techniques; and volume rendering was performed to depict the anatomy of interest.


The free-breathing self-navigated 3D radial acquisition provided significantly improved image quality and myocardial wall-blood contrast (Figure 1). Mean scores were 4.58 and 2.67 for the 3D radial and FLASH/bSSFP sequences respectively (p = 0.003). The cardiovascular anatomy was well depicted on all virtual 3D models (Figure 2).
Figure 1
Figure 1

Comparison between 3D Radial Sequence (left) to FLASH (Subjects 1 and 2) or respiratory-navigated bSSFP (Subject 3). Note the sharp myocardial wall contrast(Subjects 1 and 3) and tricuspid valve leaflets (Subject 2, Ebstein's anomaly) in the 3D radial sequence.

Figure 2
Figure 2

3D Virtual models demonstrating (A) arterial switch with lecompte, VSD, and enlarged coronary sinus in subject 1, (B) area of tricuspid regurgitation due to lack of coaptation in subject 2 (Ebstein's anomaly), and (C) normal cardiac anatomy and coronary arteries in subject 3.


3D virtual models are frequently being created to understand complex anatomy, influence surgical planning, and provide intra-operative guidance for patients with CHD. This novel free-breathing, self-navigated whole heart 3D radial sequence provided excellent image quality as compared to existing routine MR sequences. Furthermore, the superb image quality provided using this novel sequence makes it an excellent choice for the creation of 3D models.

Authors’ Affiliations

Center for Advanced Imaging Innovation and Research (CAI2R) and Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, USA
The Sackler Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, NY, USA
Advanced Clinical Imaging Technology, Siemens Healthcare, Lausanne, Switzerland
Department of Cardiothoracic Surgery, New York University School of Medicine, New York, NY, USA
Department of Pediatrics, New York University School of Medicine, New York, NY, USA


© Wake et al. 2016

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.