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Updated: Jul 7, 2026
09:31
In Vivo, Percutaneous, Needle Based, Optical Coherence Tomography of Renal Masses
Published on: March 30, 2015
[Development of automatic analysis for dynamic renal function study using computed tomographic (CT) images]
Ryuuji Ikematsu1, Hidemichi Kawata, Seiji Kawamura
1Center for Diagnostic Imaging, Kurume University Hospital.
Nihon Hoshasen Gijutsu Gakkai Zasshi
|March 4, 2008
Summary
A new computer algorithm automates kidney region determination for dynamic renal function analysis. This method enhances reproducibility and accuracy in quantifying glomerular filtration rate (GFR).
Area of Science:
- Medical Imaging
- Nuclear Medicine
- Computational Biology
Context:
- Determining the region of interest (ROI) for dynamic renal function is operator-dependent, leading to inconsistencies.
- Factors like injection rate, patient constitution, and renal function influence ROI accuracy.
- Existing methods lack standardization, impacting reliable functional assessments.
Purpose:
- To develop a computer algorithm for automatic kidney localization and ROI determination using computed tomographic (CT) images.
- To overcome the discordance among operators in defining ROIs for dynamic renal function studies.
- To enable accurate and reproducible quantification of renal function parameters.
Summary:
- A novel algorithm utilizes enhanced CT images to extract bilateral kidneys, adjusting pixel size for dynamic renal function imaging.
- Template-matching techniques and functional image analysis accurately locate kidneys and define ROIs.
- The algorithm generates time-activity curves and quantifies glomerular filtration rate (GFR) with high reproducibility.
Impact:
- Provides a standardized and automated approach to dynamic renal function analysis.
- Reduces inter-operator variability, improving the reliability of GFR measurements.
- Facilitates more consistent and accurate clinical assessments of kidney function.
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