Maria Tunset Grinde
About
I am educated as a physicist (masters degree) and I have a PhD in medical technology.
I have worked several years (~ 8 years) with cancer research. My main research interests the last years have been using Magnetic Resonance Spectroscopy (MRS) for assessment of tumor response and identification of predictive biomarkers from novel anticancer agents. I am mainly working with preclinical models (animal models/rodents, organoids, and cell cultures) and using both 1H, 13C and 31P NMR. I am also using complementary methodologies such as histology, and gene and protein expression analysis.
I have also worked 3-4 years as a medical physicist, working with MR and nuclear medicine/PET. The work included development and implementation of quality control systems for clinical MR, gamma cameras/SPECT and PET scanners. It also included improvements of clinical sequences, identification of artefacts in medical images, teaching and more. The work has given me experience in image analysis and DICOM images.
Both as a researcher and medical physicist I have analyzed metabolomics data and image/DICOM data using MATLAB. I’m very interested in and I have experience in development of own MATLAB scripts.
Publications
2018
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Euceda, Leslie R.;
Andersen, Maria Karoline;
Tessem, May-Britt;
Moestue, Siver Andreas;
Grinde, Maria Tunset;
Bathen, Tone Frost.
(2018)
NMR-Based Prostate Cancer Metabolomics.
Methods in molecular biology
Academic article
Journal publications
-
Euceda, Leslie R.;
Andersen, Maria Karoline;
Tessem, May-Britt;
Moestue, Siver Andreas;
Grinde, Maria Tunset;
Bathen, Tone Frost.
(2018)
NMR-Based Prostate Cancer Metabolomics.
Methods in molecular biology
Academic article