This study aimed to verify the accuracy of low-field-intensity magnetic resonance imaging (MRI) in diagnosing meniscus tears. A total of 171 patients were examined through low-field-intensity MRI to detect meniscus injuries. These patients were then diagnosed through arthroscopy. Examination results were recorded and compared. The accuracy of the diagnosis for internal and external meniscus tea...

In high and ultrahigh field magnetic resonance imaging (MRI) research, computational electromagnetic techniques are now taking an important role in the design and evaluation of MRI radiofrequency (RF) coils. This paper focuses on the RF power requirements and specific absorption rate (SAR) associated with the MRI operation at different field strength. This paper also presents new techniques for...

Bias field signal is a low-frequency and very smooth signal that corrupts MRI images specially those produced by old MRI (Magnetic Resonance Imaging) machines. Image processing algorithms such as segmentation, texture analysis or classification that use the graylevel values of image pixels will not produce satisfactory results. A pre-processing step is needed to correct for the bias field signa...

Background: Accurate small radiation field dosimetry is essential in modern radiotherapy techniques such as stereotactic radiosurgery (SRS) and intensity modulated radiotherapy (IMRT). Precise measurement of dosimetric parameters such as beam profile, percentage depth doses and output factor of these beams are complicated due to the electron disequilibrium and the steep dose gradients. In the p...

Aalto University, P.O. Box 11000, FI-00076 Aalto www.aalto.fi Author Juhani Dabek Name of the doctoral dissertation Method development for ultra-low-field magnetic resonance imaging and magnetoencephalography Publisher School of Science Unit Department of Biomedical Engineering and Computational Science Series Aalto University publication series DOCTORAL DISSERTATIONS 42/2014 Field of research ...