"MR nyrer med funksjonell avbildning - en tverrfaglig satsning" prosjektnummer 12087
- Prosjektnummer
- 911211
- Ansvarlig person
- jarle rørvik
- Institusjon
- Universitetet i Bergen
- Prosjektkategori
- Forskningsprosjekt
- Helsekategori
- Renal and Urogenital
- Forskningsaktivitet
- 4. Detection and Diagnosis
Blood flow quantification from 2D phase contrast MRI in renal arteries using an unsupervised data driven approach.
Z Med Phys 2009;19(2):98-107.
PMID: 19678525
Assessment of 3D DCE-MRI of the kidneys using non-rigid image registration and segmentation of voxel time courses.
Comput Med Imaging Graph 2009 Apr;33(3):171-81. Epub 2009 jan 9
PMID: 19135861
Assessment of Kidney Volumes from MR Images - A review of Aquisition and Segmentation Techniques
Z Med Phys - submitted
Quantitative Assessment of Kidney Function using Dynamic Contrast Enhanched MRI - Steps towards an integrated software prototype
ISISP 2009
Integrated software prototype for medical image processing
NOTUR 2009 (Poster award)
MRI kidney -Quatitative assessment of kidney function using DCE-MRI. (poster)
Trends and needs in Medical Technology and Health Care"
Project report
12. januar 2008
MR imaging ofkidney structure and function
EC COST B12 WGI meeting, Spain 2006
Image registration for quantitative analysis of kidney function using MRI
International workshop on information Optics, Spain, 2006
Motion correction in dynamic DCE-MRI studies for the evaluation of renal function
ESMRMB, 2006
Towards quantification of kidney function by clustering volumetric MRI perfusion time series
ESMRMB, 2006
Assessment of high-field DCE-MRI of the kidneys using non-rigid image registration and segmentation of voxel time-courses
Submitted manuscript: Investigative radiology
Segmentation of Kidneys from MR-Images
Final thesis at Norwegian University of Sciences and Technonolgy (NTNU)
Segmentation of magnetic resonance perfusion images
Intern rapport
Image Qulity Comparison
Rapport til med fak etter sommerstipend 2005
Deformable registration of dynamic mr-images of the kidneys
Rapport til institutt for biomedisin fra samarbeidspartnere ved Universitetet i Madrid
A computational framework for image registration in physiological and molecular imaging
PhD-prosjekt ved institutt for biomedisin. Veileder Arvid Lundervold. Foreløpig rapport.
eRapport er utarbeidet av Sølvi Lerfald og Reidar Thorstensen, Regionalt kompetansesenter for klinisk forskning, Helse Vest RHF, og videreutvikles av de fire RHF-ene i fellesskap, med støtte fra Helse Vest IKT
Alle henvendelser rettes til Faglig rapportering, Helse Vest