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.
Publication of the Month, March

Assessment of Kidney Volumes From MRI: Acquisition and Segmentation Techniques

Frank G.Zöllner1 2, Einar Svarstad3, Antonella Z. Munthe-Kaas4, Lothar R. Schad1, Arvid Lundervold5 6 and Jarle Rørvik2 6
OBJECTIVE. The prevalence of chronic kidney disease (CKD) is increasing worldwide. In Europe alone, at least 8% of the population currently has some degree of CKD. CKD is associated with serious comorbidity, reduced life expectancy, and high economic costs; hence, early detection and adequate treatment of kidney disease are important.
CONCLUSION. We review state-of-the-art MRI acquisition techniques for CKD, with a special focus on image segmentation methods used for the estimation of kidney volume.
New imaging modalities have achieved an increasingly important role in the clinical workup of chronic kidney diseases (CKDs). They allow minimally invasive measurement of the kidney volume and the loss of functional parenchyma, as well as renal blood flow (RBF) and glomerular filtration rate (GFR). Sonography is a standard low-cost modality and is easily accessible. However, it is operator dependent, estimated volumes suffer from poor reproducibility and low accuracy, and 3D ultrasound equipment is not widely available. CT provides precise measurements, also in 3D, but the patients are exposed to ionized radiation and iodinated contrast agents, which
may be contraindicated for use. MRI may emerge as a good alternative by acquiring high-resolution 3D images without radiation exposure. Generally, MRI provides good tissue contrast that facilitates segmentation of the kidney and extraction of volumetric information from the images. Methods for performing such segmentation range from simple manual delineation to the application of advanced object-detection algorithms. Image data acquired by these methods comprise purely morphologic T1- or T2-weighted images as well as contrast-enhanced and time-resolved image data. In the present review, state-of-the-art methods of acquisition and segmentation for performing
high-quality renal volumetry by MRI will be discussed.
Last Updated on Tuesday, 12 March 2013 16:55
Open position

Phd position OUS

A PhD position announcement, advanced MRI in cancer imaging:
Deadline 28.02.2013
Last Updated on Tuesday, 26 February 2013 10:12
Visualization Group

Aging - cognition, brain imaging and genetics

You are all invited at the next Visual Computing Forum seminar, which will be held on Friday March 1. The seminar will take place from 10.15 to 11.15. at the Høyteknologisenteret, datablokk, in the Lille Auditorium at the second floor.
Our speakers will be Astri J Lundervold (Professor, Department of Biological and Medical and Psychology, UiB) and Arvid Lundervold (Professor, Department of Biomedicine, UiB). They will present us their recent study on the aging process.
You can find more details in the enclosed flyer or on our website:
We hope to see you all on Friday.

VCF is relatively easy to visit from the hospital by the Campus bus leaving Haukeland at 9h40 and return trip leaving Høyteknologisenteret at 11h35.


Best regards,

The Visualization Group 
Last Updated on Tuesday, 26 February 2013 12:47
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