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Optimized Three-Dimensional Cardiovascular Magnetic Resonance Whole Heart Imaging Utilizing Non-Selective Excitation and Compressed Sensing in Children and Adults with Congenital Heart Disease

Ingo Paetsch1,*, Roman Gebauer2, Christian Paech2, Frank-Thomas Riede2, Sabrina Oebel1, Andreas Bollmann1, Christian Stehning3, Jouke Smink4, Ingo Daehnert2, Cosima Jahnke1

1 Department of Electrophysiology, Heart Center Leipzig at University of Leipzig, Leipzig, Germany
2 Department of Pediatric Cardiology, Heart Center Leipzig at University of Leipzig, Leipzig, Germany
3 Philips Research Laboratories, Hamburg, Germany
4 Philips Medical Systems, Best, The Netherlands

* Corresponding Author: Ingo Paetsch. Email: email

Congenital Heart Disease 2023, 18(3), 279-294. https://doi.org/10.32604/chd.2023.029634

Abstract

Background: In congenital heart disease (CHD) patients, detailed three-dimensional anatomy depiction plays a pivotal role for diagnosis and therapeutical decision making. Hence, the present study investigated the applicability of an advanced cardiovascular magnetic resonance (CMR) whole heart imaging approach utilizing nonselective excitation and compressed sensing for anatomical assessment and interventional guidance of CHD patients in comparison to conventional dynamic CMR angiography. Methods: 86 consecutive pediatric patients and adults with congenital heart disease (age, 1 to 74 years; mean, 35 years) underwent CMR imaging including a free-breathing, ECG-triggered 3D nonselective SSFP whole heart acquisition using compressed SENSE (nsWHcs). Anatomical assessability and signal intensity ratio (SIR) measurements were compared with conventional dynamic 3D-/4D-MR angiography. Results: The most frequent diagnoses were partial anomalous pulmonary venous drainage (17/86, 20%), transposition of the great arteries (15/86, 17%), tetralogy of Fallot (12/86, 14%), and a single ventricle (7/86, 8%). Image quality of nsWHcs was rated as excellent/good in 98% of patients. nsWHcs resulted in a reliable depiction of all large thoracic vessels (anatomic assessability, 99%–100%) and the proximal segments of coronary arteries and coronary sinus (>90%). nsWHcs achieved a homogenously distributed SIR in all cardiac cavities and thoracic vessels without a significant difference between pulmonary and systemic circulation (10.9 ± 3.5 and 10.6 ± 3.4; p = 0.15), while 3D angiography showed significantly increased SIR for targeted vs. non-targeted circulation (PA-angiography, 15.2 ± 8.1 vs. 5.8 ± 3.6, p < 0.001; PV-angiography, 7.0 ± 3.9 vs. 17.3 ± 6.8, p < 0.001). Conclusions: The proposed nsWHcs imaging approach provided a consistently high image quality and a homogeneous signal intensity distribution within the pulmonary and systemic circulation in pediatric patients and adults with a wide spectrum of congenital heart diseases. nsWHcs enabled detailed anatomical assessment and three-dimensional reconstruction of all cardiac cavities and large thoracic vessels and can be regarded particularly useful for preprocedural planning and interventional guidance in CHD patients.

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APA Style
Paetsch, I., Gebauer, R., Paech, C., Riede, F., Oebel, S. et al. (2023). Optimized three-dimensional cardiovascular magnetic resonance whole heart imaging utilizing non-selective excitation and compressed sensing in children and adults with congenital heart disease. Congenital Heart Disease, 18(3), 279-294. https://doi.org/10.32604/chd.2023.029634
Vancouver Style
Paetsch I, Gebauer R, Paech C, Riede F, Oebel S, Bollmann A, et al. Optimized three-dimensional cardiovascular magnetic resonance whole heart imaging utilizing non-selective excitation and compressed sensing in children and adults with congenital heart disease. Congeni Heart Dis. 2023;18(3):279-294 https://doi.org/10.32604/chd.2023.029634
IEEE Style
I. Paetsch et al., "Optimized Three-Dimensional Cardiovascular Magnetic Resonance Whole Heart Imaging Utilizing Non-Selective Excitation and Compressed Sensing in Children and Adults with Congenital Heart Disease," Congeni. Heart Dis., vol. 18, no. 3, pp. 279-294. 2023. https://doi.org/10.32604/chd.2023.029634



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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