|Veterinary Imaging: an interdisciplinary infrastructure at the University of Copenhagen|
|HD/AD-kursus 2018 Læs mere her.|
The veterinary imaging unit at the faculty Life Sciences, Copenhagen University uses modern medical imaging equipment for clinical diagnosis, research and teaching. It is staffed by five professional and three technical staff.
Research collaborations are actively encouraged, and interested parties are asked to contact us to discuss needs.
Recent and current projects include examinations of bone mineral density using DEXA in chickens and pigs, body composition studies in pigs and domestic cats using Computer Tomography, studies of gonad development in eels using ultrasonography and the assessment of models of joint disease in goats using MRI.
We have a special interest in quantification aspects of imaging which are particularly helpful in data generation for research projects.
The unit is situated primarily at Copenhagen University’s Frederiksberg campus but has some of its facilities at the University Hospital for Large Animals in Taastrup.
Arrangements with the unit can be at the level of co-applicants on research grants, collaborators in existing projects or as contract researchers. The charge structure will vary depending on the nature of the research relationship, but in all cases has to cover time charges for the personnel and equipment used.
Equipment available includes a Digtal Radiography (Agfa), Ultrasound (LOGIQ E9, General Electric), DEXA (Lunar, General Electric), Computed Tomography ( Emotion, Siemens), Magnetic Resonance Imaging (Esoate, 0.3 Tesla), Planar scintigraphy and SPECT (Philips Medical).
Services provided include interpretation of veterinary medical (including research) images, image analysis and technical assistance
from the unit
Measurement of Body Composition in Cats Using Computed Tomography and Dual Energy X-Ray Absorptiometry. Veterinary Radiology and Ultrasound, 2011 Mar-Apr;52(2):179-84
Evaluation of a 9-point body condition scoring system in physically inactive pet cats. American Journal of Veterinary Research 2011 Apr;72(4):433-7.Bjornvad CR, Nielsen DH, Armstrong PJ,
Determination of fish gender using fractal analysis of ultrasound images. Veterinary Radiology and Ultrasound (2009) 50(5):519-24
Computer tomographic investigation of subcutaneous adipose tissue as an indicator of body composition. Acta Veterinaria Scandinavica.(2009), 51: 28.
Quantitative computed tomography evaluation of pulmonary disease. Veterinary Radiology and Ultrasound (2009) 50 (1) 47-51.
Security of patient and study data associated with DICOM images when transferred using compact disc media Journal of Digital Imaging (2009) 22 (1) 65-70
Influence of age and position on the CT number of adipose tissues in pigs. Obesity (2008) 16 (10) 2368-2373