Paper
13 April 2018 The evaluation of correction algorithms of intensity nonuniformity in breast MRI images: a phantom study
Damian Borys, Wojciech Serafin, Kamil Gorczewski, Marek Kijonka, Mariusz Frackiewicz, Henryk Palus
Author Affiliations +
Proceedings Volume 10696, Tenth International Conference on Machine Vision (ICMV 2017); 106962H (2018) https://doi.org/10.1117/12.2309464
Event: Tenth International Conference on Machine Vision, 2017, Vienna, Austria
Abstract
The aim of this work was to test the most popular and essential algorithms of the intensity nonuniformity correction of the breast MRI imaging. In this type of MRI imaging, especially in the proximity of the coil, the signal is strong but also can produce some inhomogeneities. Evaluated methods of signal correction were: N3, N3FCM, N4, Nonparametric, and SPM. For testing purposes, a uniform phantom object was used to obtain test images using breast imaging MRI coil. To quantify the results, two measures were used: integral uniformity and standard deviation. For each algorithm minimum, average and maximum values of both evaluation factors have been calculated using the binary mask created for the phantom. In the result, two methods obtained the lowest values in these measures: N3FCM and N4, however, for the second method visually phantom was the most uniform after correction.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Damian Borys, Wojciech Serafin, Kamil Gorczewski, Marek Kijonka, Mariusz Frackiewicz, and Henryk Palus "The evaluation of correction algorithms of intensity nonuniformity in breast MRI images: a phantom study", Proc. SPIE 10696, Tenth International Conference on Machine Vision (ICMV 2017), 106962H (13 April 2018); https://doi.org/10.1117/12.2309464
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Cited by 2 scholarly publications.
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KEYWORDS
Magnetic resonance imaging

Breast

Breast imaging

Data modeling

Diagnostics

Nonuniformity corrections

Binary data

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