Gradient cumulative filtering to detect MRI thermometry artifacts

Juha M. Kortelainen, Juha Koikkalainen, J. Koskela, G. Ehnholm

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

Magnetic resonance imaging (MRI) thermometry is applied for guiding thermal therapy of tumorous tissues using high-intensity focused ultrasound (HIFU). Fast imaging sequences are needed for the on-line MRI operation, and strong artifacts on the temperature map can be found especially for image regions having poor signal-to-noise (S/N) ratio. Detection and masking of the regions with unreliable temperature measurement would be important to avoid unnecessary notification of the HIFU operator or even cancelation of the sonication procedure. This paper presents a specific image processing procedure to improve detection of typical MRI thermometry artifacts. First a region for well behaving temperature map is selected. Then, the remaining region of distorted temperature surface is processed with a novel method using oriented filter on the surface gradient. The result gives a more stable surface over the artifact regions, which can be used further to improve consistency in detection and masking of the temperature errors. Evaluation data is from N=7 patients having thermal therapy for uterine fibroid, including about 300 different sonications and 30,000 MRI thermometry images. The results show that the suggested method decreases variance of the temperature difference between consequent image frames in comparison with a conventional method using 2D phase unwrapping.
Original languageEnglish
Title of host publication13th IEEE International Conference on BioInformatics and BioEngineering
PublisherIEEE Institute of Electrical and Electronic Engineers
Number of pages4
ISBN (Print)978-1-4799-3163-7
DOIs
Publication statusPublished - 2013
MoE publication typeA4 Article in a conference publication
Event13th IEEE International Conference on BioInformatics and BioEngineering, BIBE 2013 - Chania, Greece
Duration: 10 Nov 201313 Nov 2013

Conference

Conference13th IEEE International Conference on BioInformatics and BioEngineering, BIBE 2013
Abbreviated titleIEEE BIBE 2013
CountryGreece
CityChania
Period10/11/1313/11/13

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    Kortelainen, J. M., Koikkalainen, J., Koskela, J., & Ehnholm, G. (2013). Gradient cumulative filtering to detect MRI thermometry artifacts. In 13th IEEE International Conference on BioInformatics and BioEngineering IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/BIBE.2013.6701659