Volumetric analysis of MRI data monitoring the treatment of polycystic kidney disease in a mouse model
| Autor: | Wilfried Reichardt, Dominik von Elverfeldt, Martin Buechert, Juergen Hennig, Stathis Hadjidemetriou |
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| Rok vydání: | 2011 |
| Předmět: |
Pathology
medicine.medical_specialty Morpholines Drug Evaluation Preclinical Biophysics Automated segmentation Autosomal dominant polycystic kidney disease Imaging data Mice Polycystic kidney disease Animals Medicine Spiro Compounds Radiology Nuclear Medicine and imaging Sirolimus Kidney Radiological and Ultrasound Technology urogenital system business.industry Treatment development Reproducibility of Results Organ Size Polycystic Kidney Autosomal Dominant medicine.disease Magnetic Resonance Imaging Disease Models Animal Treatment Outcome medicine.anatomical_structure Female Data monitoring business Immunosuppressive Agents |
| Zdroj: | Magnetic Resonance Materials in Physics, Biology and Medicine. 24:109-119 |
| ISSN: | 1352-8661 0968-5243 |
| Popis: | The human condition autosomal dominant polycystic kidney disease (ADPKD) is characterized by the growth of cysts in the kidneys that increase renal volume and lead to kidney failure. Mice studies are performed for treatment development monitored with imaging. The analysis of the imaging data is typically manual, which is costly and potentially biased. This paper presents a reliable and reproducible method for the automated segmentation of polycystic mouse kidneys.Treated and untreated mice have been imaged longitudinally with high field anatomic MRI. The region of interest (ROI) of the kidneys in the images is identified and restored for artifacts. It is then analyzed statistically and geometric models are estimated for each kidney. The statistical and geometric information are provided to the graph cuts algorithm that delineates the kidneys.The accuracy of the analysis has been demonstrated by showing consistency with results obtained with previous methods as well as by comparing with manual segmentations.The method developed can accelerate and improve the accuracy of kidney volumetry in preclinical treatment trials for ADPKD. |
| Databáze: | OpenAIRE |
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