Quantification of the difference between Cardiac Magnetic Resonance signals in perfusion studies with and without motion correction algorithms

• Type: Article in International Conference Proceedings Book
• Date: 2019

Authors

Moreira, T (Author) Other; Almeida, N (Author) Other; Bettencourt, N (Author) FMUP; Coimbra, M (Author) FCUP

Conference proceedings International

Title: 6th IEEE Portuguese Meeting on Bioengineering, ENBENG 2019 - Proceedings

6th IEEE Portuguese Meeting on Bioengineering, ENBENG 2019

22 February 2019 through 23 February 2019

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Other information

Authenticus ID: P-00Q-K0D

DOI: 10.1109/enbeng.2019.8692487

Abstract (EN): In studies requiring respiratory apnea, such as the cardiac magnetic resonance (CMR) perfusion sequence, it is sometimes difficult for patients to perform such a requirement. In the medical imaging market, motion correction algorithms have emerged, such as motion correction (MoCo) from Siemens, as computational tools capable of correcting this dilemma. It is important to verify, by the signal intensity of the images, if the images of the sequences with the application of the algorithm do not differ significantly from the images without any post-processing. An experimental study was carried out to measure signal intensity by region of interest (ROI) marking, one of which was located in the cardiac chamber and another in the segment with ischemia in thirteen individuals (n = 13) with a diagnosis of ischemia of the anterior descendent artery who performed the perfusion sequence by CMR. Statistical analysis with the values resulting from these measurements was performed using the statistical analysis software IBM SPSS Statistics 24. Signal strength measurements were performed at the Alfena Private Hospital with Siemens Syngo MR D14 software. It is verified that there are no statistically significant differences in the signal intensity measurements in the images without and with the motion correction algorithm.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 4