Improvement of MRI-functional measurement with automatic movement correction in native and transplanted kidneysReport as inadecuate




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1 IMB - Institut de Mathématiques de Bordeaux 2 Radiology & Physics Unit, UCL Institute of Child Health 3 Imagerie moléculaire et fonctionnelle: de la physiologie à la thérapie

Abstract : Purpose: To improve 2D software for motion correction of renal dynamic contrast-enhanced magnetic resonance imaging DCE-MRI and to evaluate its effect using the Patlak-Rutland model.Material and methods: A subpixel accurate method to correct for kidney motion during DCE-MRI was evaluated on native and transplanted kidneys using data from two different institutions with different magnets and protocols. The Patlak-Rutland model was used to calculate Glomerular Filtration Rate GFR on a voxel-by-voxel basis providing mean Kp and uncertainty Sigma Kp values for GFR. Results: In transplanted kidneys, average absolute variation of Kp was 6.4 %±4.8 % max= 16.6 %. In native kidneys average absolute variation of was 12.11 % ±6.88 % max= 25.6 % for the right and 11.6 % ± 6 % max= 20.8 % for the left. Movement correction showed an average reduction of Sigma Kp of 6.9 %±6.6 % max= 21.4 % in transplanted kidneys, 30.9 %±17.6 % max= 60.8 % for the right native kidney and 31.8 %±14 % max= 55.3 % for the left kidney. Conclusion: The movement correction algorithm showed improved uncertainty on GFR computation for both native and transplanted kidneys despite different spatial resolution from the different MRI systems and different levels of signal-to-noise ratios on DCE-MRI.





Author: Baudouin Denis de Senneville - Iosif Mendichovszky - Sébastien Roujol - Isky Gordon Chrit Moonen - Nicolas Grenier -

Source: https://hal.archives-ouvertes.fr/



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