esperu

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Academic Interests

Medical imaging, with FDG-PET/CT and MR, used in diagnostics and image guided radiotherapy. Image analysis, segmentation, and classification, used to examine the dynamic interplay between measured physiological functions of the tissue, like perfusion and metabolism. Explore possibilities for multi modal modeling compared to separate interpretations.

The workflow contains co-registration, calculation of physiological models, and image segmentation. The calculations are mainly conducted in Interactive Data Language (IDL). The connection between physics and physiology, clinical practice and science, is both interesting and stimulating. Though the field is wide I am determined to find my spot.

A short story of metabolism

The basis of a FDG-PET image is the measurement of the distribution of radioactive sugar in patients. Manipulating sugar metabolism is one of the oldest biochemical experiment conducted by man. That is using yeast to brew a variety of alcoholic substances. Since the invention of the microscope and the discovery of microorganisms, research has been conducted to find an explanation of how grapes turned to wine, milk turned to cheese, and grain turned to beer. From the beginning it was apparent that the efficiency of the process, in the case of beer or wine: the amount of alcohol produced per unit of sugar, depended both on the abundance of sugar (Crabtree) and availability of oxygen (Pasteur). Under certain conditions the yeast switched to an alternative process of sugar transformation, while some types of yeast always preferred the alternative approach regardless of the environment. Later it was found that cancer cells where of the latter type (Warburg).

The exact mechanisms of the metabolic shift varies between cancer strands, it seems to be more an evolutionary pressure towards more aggressive cells. To compensate for the increased cell density both vascular and metabolic changes are required, both with negative consequences for the surrounding tissue. As such changes within both respects can be used to estimate tumor aggressiveness, though which is most pronounced depends on tumor type. It is however natural to assume that a region identified as poor prognostic factor also is a possible target for intensive treatment.

An even shorter story of me

Initially studied aeronautics, though changed to electronics. Had a specialization in biocompatible surfaces, but had to extend to the field of physics. I began with analysis of city structure, though ended with analyzing the humans inside. Desired 2D for its simplicity but ended in 3D. Hunted for fish and found an island. 

 

Publications

  • Roa, ana Maria Acosta; Skingen, Vilde Eide; Rekstad, Bernt Louni; Undseth, Christine; Rusten, Espen & Hernes, Eivor [Show all 8 contributors for this article] (2023). Stability of metabolic tumor volume may enable radiotherapy dose painting in anal cancer. Physica Medica. ISSN 1120-1797. 114, p. 1–7. doi: 10.1016/j.ejmp.2023.103151. Full text in Research Archive
  • Grøndahl, Aurora Rosvoll; Moe, Yngve Mardal; Kaushal, Christine Kiran; Huynh, Bao Ngoc; Rusten, Espen & Tomic, Oliver [Show all 12 contributors for this article] (2021). Deep learning-based automatic delineation of anal cancer gross tumour volume: a multimodality comparison of CT, PET and MRI. Acta Oncologica. ISSN 0284-186X. 61(1), p. 89–96. doi: 10.1080/0284186X.2021.1994645. Full text in Research Archive
  • Dahle, Tordis Johnsen; Rusten, Espen; Stokkevåg, Camilla Hanquist; Silvoniemi, Antti; Mairani, Andrea & Fjæra, Lars Fredrik [Show all 14 contributors for this article] (2020). The FLUKA Monte Carlo code coupled with an OER model for biologically weighted dose calculations in proton therapy of hypoxic tumors. Physica Medica. ISSN 1120-1797. 76, p. 166–172. doi: 10.1016/j.ejmp.2020.07.003. Full text in Research Archive
  • Rusten, Espen; Rekstad, Bernt Louni; Undseth, Christine; Klotz, Dagmar; Hernes, Eivor & Guren, Marianne Grønlie [Show all 7 contributors for this article] (2019). Anal cancer chemoradiotherapy outcome prediction using 18F-fluorodeoxyglucose positron emission tomography and clinicopathological factors. British Journal of Radiology (BJR). ISSN 0007-1285. 92:20181006(1097), p. 1–8. doi: 10.1259/bjr.20181006. Full text in Research Archive
  • Rusten, Espen; Rekstad, Bernt Louni; Undseth, Christine; Al-Haidari, Ghazwan Ahmed Dhia Eldin; Hanekamp, Bettina & Hernes, Eivor [Show all 9 contributors for this article] (2017). Target volume delineation of anal cancer based on magnetic resonance imaging or positron emission tomography. Radiation Oncology. 12(147), p. 1–8. doi: 10.1186/s13014-017-0883-z. Full text in Research Archive
  • Pitman, Kathinka; Rusten, Espen; Kristian, Alexandr & Malinen, Eirik (2015). Variability of dynamic 18F-FDG-PET data in breast cancer xenografts. Acta Oncologica. ISSN 0284-186X. 54(9), p. 1399–1407. doi: 10.3109/0284186X.2015.1062140. Full text in Research Archive
  • Rusten, Espen; Rødal, Jan; Revheim, Mona Elisabeth; Skretting, Arne; Bruland, Øyvind & Malinen, Eirik (2013). Quantitative dynamic 18 FDG-PET and tracer kinetic analysis of soft tissue sarcomas. Acta Oncologica. ISSN 0284-186X. 52(6), p. 1160–1167. doi: 10.3109/0284186X.2012.728713. Full text in Research Archive
  • Rusten, Espen; Rødal, Jan; Bruland, Øyvind & Malinen, Eirik (2013). Biologic targets identified from dynamic (18)FDG-PET and implications for image-guided therapy. Acta Oncologica. ISSN 0284-186X. 52(7), p. 1378–1383. doi: 10.3109/0284186X.2013.813071. Full text in Research Archive
  • Rødal, Jan; Rusten, Espen; Søvik, Åste; Skogmo, Hege Kippenes & Malinen, Eirik (2013). Functional imaging to monitor vascular and metabolic response in canine head and neck tumors during fractionated radiotherapy. Acta Oncologica. ISSN 0284-186X. 52(7), p. 1293–1299. doi: 10.3109/0284186X.2013.812800. Full text in Research Archive

View all works in NVA

View all works in NVA

Published Jan. 31, 2013 11:43 AM - Last modified July 29, 2013 3:41 PM