Hostname: page-component-586b7cd67f-gb8f7 Total loading time: 0 Render date: 2024-11-28T06:10:01.806Z Has data issue: false hasContentIssue false

Echocardiographic MRI: an innovative fusion of functional and anatomic assessment strategy for CHD

Published online by Cambridge University Press:  31 October 2018

Addison S. Gearhart*
Affiliation:
Children’s Hospital of Orange County, Pediatric Heart Institute, Orange, CA 92868, USA
Stephanie A. Raymundo
Affiliation:
Children’s Hospital of Orange County, Pediatric Heart Institute, Orange, CA 92868, USA
Anthony C. Chang
Affiliation:
Children’s Hospital of Orange County, Pediatric Heart Institute, Orange, CA 92868, USA
*
Author for correspondence: Anthony C. Chang, MD, MBA, MPH, MS, CHOC Medical Intelligence and Innovation Institute, 505 South Main Street, Suite 200, Orange, CA 92868, USA. Tel: +1-714-509-3939; Fax: +1-714-509-3949; E-mail: [email protected]

Abstract

We present a pilot case using an innovative fusion of echocardiogram and MRI achieved with a MATLAB-based imaging programme to explore the feasibility of this imaging strategy in the functional and anatomic assessment of a patient with repaired tetralogy of Fallot requiring pulmonary valve intervention. Echocardiogram and MRI neutralises the disadvantages and limitations of each individual imaging modality and yields important anatomic and haemodynamic information crucial to the treatment decision-making process. Future image fusion strategies can apply to three-dimensional images and image-directed therapy for CHD.

Type
Brief Report
Copyright
© Cambridge University Press 2018 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

Cite this article: Gearhart AS, Raymundo SA, Chang AC. (2018) Echocardiographic MRI: an innovative fusion of functional and anatomic assessment strategy for CHD. Cardiology in the Young29: 88–89. doi: 10.1017/S1047951118001749

References

1. Porter, BC, Rubens, DJ, Strang, JG, Smith, J, Totterman, S, Parker, KJ. Three-dimensional registration and fusion of ultrasound and MRI using major vessels as fiducial markers. IEEE Trans Med Imaging 2001; 20: 354359.Google Scholar
2. Rajpoot, K, Noble, JA, Grau, V, Szmigielski, C, Becher, H. Multiview RT3D echocardiography image fusion. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2009; 5528: 134143.Google Scholar
3. Rasche, V, Mansour, M, Reddy, V, et al. Fusion of three-dimensional X-ray angiography and three-dimensional echocardiography. Int J Comput Assist Radiol Surg 2008; 2: 293303.Google Scholar
4. Wang, C, Chen, M, Zhao, JM, Liu, Y. Fusion of color Doppler and magnetic resonance images of the heart. J Digit Imaging 2011; 24: 10241030.Google Scholar
5. Park, JH, Zhou, SK, Simopoulos, C, Otsuki, J, Comaniciu, D. Automatic cardiac view classification of echocardiogram. In: Proceedings of the IEEE International Conference on Computer Vision, 2007.Google Scholar
6. Cho, C-H, Song, K-S, Min, B-W, et al. Multimodal approach to postoperative pain control in patients undergoing rotator cuff repair. Knee Surg Sports Traumatol Arthrosc 2011; 19 (10): 17441748.Google Scholar
7. Wang, L, Li, B, Tian, LF. EGGDD: an explicit dependency model for multi-modal medical image fusion in shift-invariant shearlet transform domain. Inf Fusion 2014; 19: 2937.Google Scholar
8. James, AP, Dasarathy, BV. Medical image fusion: a survey of the state of the art. Inf Fusion 2014; 19: 419.Google Scholar
Supplementary material: File

Gearhart et al. supplementary material

Gearhart et al. supplementary material 1

Download Gearhart et al. supplementary material(File)
File 143.3 KB