Comparison of noise reducing T2map reconstruction methods in MRI imaging of Achilles tendon

Achilles tendon rupture (ATR) is one of the most common tendinopathy. For differential diagnosis, surgical treatment planning and regeneration monitoring, MRI is being used. Quantitative T2-weighted sequence (T2-map) is one of several MRI sequences that are commonly assessed during this procedure. T2-map distinguishing feature is a more detailed and quantitative characterization of tissues instead of other qualitative weighted MRI sequences. There are several approaches of calculating T2-aps: ex. log-linear regression model (LLR), non-linear least squares model (NNLS). Unfortunately these models enhance MRI’s noise. Therefore, purpose of this research is to develop new models (weighted log-linear regression model—WLLR and weighted non-linear least squares model— WNNLS) of calculating T2-maps in ATR patients and healthy controls allowing to reduce noise and to assess LLR, NNLS, WLLR, WNNLS with non-reference noise measures.