Volume 41, Issue 5 pp. 1242-1250

Original Research – Cardiac

Automated interventricular septum segmentation for black-blood myocardial T2* measurement in thalassemia

Qian Zheng PhD,

Qian Zheng PhD

School of Biomedical Engineering, Southern Medical University, Guangzhou, China

Zhengzhou University of Light Industry, Zhengzhou, China

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Yanqiu Feng PhD,

Corresponding Author

Yanqiu Feng PhD

School of Biomedical Engineering, Southern Medical University, Guangzhou, China

Address reprint requests to: Y.F., School of Biomedical Engineering, Southern Medical University, Guangzhou, China. E-mail: [email protected]Search for more papers by this author

Xiaping Wei BS,

Xiaping Wei BS

School of Biomedical Engineering, Southern Medical University, Guangzhou, China

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Meiyan Feng MS,

Meiyan Feng MS

School of Biomedical Engineering, Southern Medical University, Guangzhou, China

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Wufan Chen MS,

Wufan Chen MS

School of Biomedical Engineering, Southern Medical University, Guangzhou, China

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Zhentai Lu PhD,

Zhentai Lu PhD

School of Biomedical Engineering, Southern Medical University, Guangzhou, China

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Yikai Xu MD,

Yikai Xu MD

Department of Diagnostic Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China

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Hongwen Chen MD,

Hongwen Chen MD

Medical Apparatus and Equipment Department, Nanfang Hospital, Southern Medical University, Guangzhou, China

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Taigang He PhD,

Taigang He PhD

Cardiovascular Sciences Research Centre, St George's, University of London, London, United Kingdom

Biomedical Research Unit, Royal Brompton Hospital and Imperial College London, London, United Kingdom

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Qian Zheng PhD,

Qian Zheng PhD

School of Biomedical Engineering, Southern Medical University, Guangzhou, China

Zhengzhou University of Light Industry, Zhengzhou, China

Search for more papers by this author

Yanqiu Feng PhD,

Corresponding Author

Yanqiu Feng PhD

School of Biomedical Engineering, Southern Medical University, Guangzhou, China

Address reprint requests to: Y.F., School of Biomedical Engineering, Southern Medical University, Guangzhou, China. E-mail: [email protected]Search for more papers by this author

Xiaping Wei BS,

Xiaping Wei BS

School of Biomedical Engineering, Southern Medical University, Guangzhou, China

Search for more papers by this author

Meiyan Feng MS,

Meiyan Feng MS

School of Biomedical Engineering, Southern Medical University, Guangzhou, China

Search for more papers by this author

Wufan Chen MS,

Wufan Chen MS

School of Biomedical Engineering, Southern Medical University, Guangzhou, China

Search for more papers by this author

Zhentai Lu PhD,

Zhentai Lu PhD

School of Biomedical Engineering, Southern Medical University, Guangzhou, China

Search for more papers by this author

Yikai Xu MD,

Yikai Xu MD

Department of Diagnostic Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China

Search for more papers by this author

Hongwen Chen MD,

Hongwen Chen MD

Medical Apparatus and Equipment Department, Nanfang Hospital, Southern Medical University, Guangzhou, China

Search for more papers by this author

Taigang He PhD,

Taigang He PhD

Cardiovascular Sciences Research Centre, St George's, University of London, London, United Kingdom

Biomedical Research Unit, Royal Brompton Hospital and Imperial College London, London, United Kingdom

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First published: 27 May 2014

https://doi.org/10.1002/jmri.24662

Citations: 9

This article was published online on 27 May 2014. An error was subsequently identified. This notice is included in the online and print versions to indicate that both have been corrected 10 September 2014.

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Abstract

Purpose

To develop and validate an automated segmentation method that extracts the interventricular septum (IS) from myocardial black-blood images for the T2* measurement in thalassemia patients.

Materials and Methods

A total of 144 thalassemia major patients (age range, 11–51 years; 73 males) were scanned with a black-blood multi-echo gradient-echo sequence using a 1.5 Tesla Siemens Sonata system (flip angle 20°, sampling bandwidth 810 Hz/pixel, voxel size 1.56 × 1.56 × 10 mm³ and variable fields of view (20–30) × 40 cm² depending on patient size). The improved Chan-Vese model with an automated initialization by the circular Hough transformation was implemented to segment the endocardial and epicardial margins of the left ventricle (LV). Consequently, the IS was extracted by analyzing the anatomical relation between the LV and the blood pool of the right ventricle, identified by intensity thresholding. The proposed automated IS segmentation (AISS) method was compared with the conventional manual method by using the Bland-Altman analysis and the coefficient of variation (CoV).

Results

The T2* measurements using the AISS method were in good agreement with those manually measured by experienced observers with a mean difference of 1.71% and a CoV of 4.15% (P < 0.001).

Conclusion

Black-blood myocardial T2* measurement can be fully automated with the proposed AISS method. J. Magn. Reson. Imaging 2015;41:1242–1250. © 2014 Wiley Periodicals, Inc.

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Volume41, Issue5

May 2015

Pages 1242-1250

Automated interventricular septum segmentation for black-blood myocardial T2* measurement in thalassemia

Abstract

Purpose

Materials and Methods

Results

Conclusion

REFERENCES

Citing Literature

References

Information

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Automated interventricular septum segmentation for black-blood myocardial T2* measurement in thalassemia

Abstract

Purpose

Materials and Methods

Results

Conclusion

REFERENCES

Citing Literature

References

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