MedViz – a Research & Development cluster in Bergen. MedViz is a cluster of groups performing interdisciplinary research in advanced image analysis and visualisation bridging the gap between “bench and bedside”. MedViz also includes imaging physics and fundamental biomedical translational research. Our mission is to promote the development of biomedical and clinical imaging technologies with the ultimate goal of improving diagnosis and treatment of patients. MedViz wants to develop new clinical methods for potential commercialisation by means of denovo software for analysis, decision support and visual communication.
PhD defence Erik A. Hanson

PhD defence for Erik A. Hanson: 4D-images of brain and kidney


10.12.2014, at 13.00.
Place: Auditorium 307 (“pi”), Carl L. Godskes Hus, Johannes Bruns gate 12 (in the vicinity of the Library for natural sciences).

Erik Andreas Hanson will be defending his PhD dissertation, entitled “Image processing methods for 4D magnetic resonance acquisitions from brain and kidney” on Wednesday December 10, 2014 at the University of Bergen.

Magnetic Resonance (MR) tomography makes it possible to make detailed 3D-images of our body. These images can also be recorded over time, resulting in 3D-video (4D-images) of organs and their functions. Physicians can find out quite a lot about a patient by studying these images with the naked eye. It is, however, difficult to systematically catch what is happening in the picture at any given time. By the aid of mathematical models and image analysis the complete 4D-image can be analyzed simultaneously and a lot of extra information can automatically be red from the pictures.  This might e.g. be information about the accurate volume of a kidney, the location of a tumor or brain activity while you are not thinking of anything.

Hanson has during his PhD work looked into a range of problems related to analyses of 4D-MR-images. He has among other things developed automated methods to discover the imaged organs and correction of organ movements during MR-acquisition. He has also studied how mathematical models and MR images together can be applied to characterize the organ functions.  Even though the applications of the methods span from calculation of brain activity to estimation of kidney function, the underlying mathematics has many similarities. Among the mathematical tools applied in the PhD thesis we find both partial differential equations and mathematical graphs.

Erik A. Hanson has been supervised by Professor Alexander Malyshev, Department of Mathematics and Professor Arvid Lundervold, Department of Biomedicine. (See also interview with Erik in MedViz Newsletter from August 2013).

Last Updated on Friday, 05 December 2014 15:46
 
MedViz seminar 21.11.2014

MedViz Seminar Friday 21.11.2014

 
PLACE: MedViz Facilities., Møllendalsbakken 7, 5th floor
TIME   : 12:00-13:00
SPEAKERS/TITLE:
Kristian Smeland Ytre-Hauge
Title: Radiation Therapy with Proton and Carbon Ions
Helge Pettersen
Title: Imaging the proton stopping power with proton Computed Tomography
Sara Margareta Cecilia Thörnqvist
Title: Radiobiology and imaging for use in particle therapy
Odd Harald Odland
Title: Planning for a particle therapy facility at Haukeland University Hospital – status November 2014

 

     
Last Updated on Thursday, 20 November 2014 07:09
 
Ligthouse project

MedViz Lighthouse Project - Image-based quantitative assessment on abdominal organ function

One of the goals of modern medicine, diagnostic and therapeutic, is to have individualised
evaluation and targeted treatment. The new imaging modalities like magnetic resonance
imaging (MRI), positron emission tomography (PET), ultrasound (US) and the combination
(multi-parametric/fusion) of these, may, together with digital image analysis and visualisation
of organ structure and functions, represent significant steps in the direction of personalized
medicine. The application of these advanced imaging technologies to abdominal organs is
particular challenging due to movement of the organ(s) during image examinations.

 

Read more about the project.

Last Updated on Thursday, 06 November 2014 12:04
 
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