Deep learning based kidney segmentation for glomerular filtration rate measurement using quantitative SPECT/CT
26 Objectives: Glomerular filtration rate (GFR), the rate at which the kidney filters the waste
from the blood, is considered the most useful test to measure the level of renal function and …
from the blood, is considered the most useful test to measure the level of renal function and …
[HTML][HTML] Measurement of glomerular filtration rate using quantitative SPECT/CT and deep-learning-based kidney segmentation
Quantitative SPECT/CT is potentially useful for more accurate and reliable measurement of
glomerular filtration rate (GFR) than conventional planar scintigraphy. However, manual …
glomerular filtration rate (GFR) than conventional planar scintigraphy. However, manual …
Deep learning-based SPECT/CT quantification of 177Lu uptake in the kidneys
T Ryden, M van Essen, J Svensson, P Bernhardt - 2020 - Soc Nuclear Med
1401 Introduction: The aim of this study was to develop an automated algorithm to quantify
activity concentration in the kidneys in Lu-177 SPECT images. The manual routine to …
activity concentration in the kidneys in Lu-177 SPECT images. The manual routine to …
ACTIVITY CONCENTRATION ESTIMATION IN AUTOMATED KIDNEY SEGMENTATION BASED ON CONVOLUTION NEURAL NETWORK METHOD FOR 177LU …
J Khan, T Rydèn, M Van Essen… - Radiation Protection …, 2021 - academic.oup.com
For 177Lu-DOTATATE treatments, dosimetry based on manual kidney segmentation from
computed tomography (CT) is accurate but time consuming and might be affected by …
computed tomography (CT) is accurate but time consuming and might be affected by …
[HTML][HTML] Healthy kidney segmentation in the dce-Mr images using a convolutional neural network and temporal signal characteristics
A Klepaczko, E Eikefjord, A Lundervold - Sensors, 2021 - mdpi.com
Quantification of renal perfusion based on dynamic contrast-enhanced magnetic resonance
imaging (DCE-MRI) requires determination of signal intensity time courses in the region of …
imaging (DCE-MRI) requires determination of signal intensity time courses in the region of …
Clinical utility of a 3D convolutional neural network kidney segmentation method for radionuclide dosimetry
N Lamba, H Wan, A Kruzer, E Platt, A Nelson - 2019 - Soc Nuclear Med
267 Objectives: With the recent approvals of new molecular radiotherapy agents, new
methods for measurement and assessment of absorbed dose in both normal regions and …
methods for measurement and assessment of absorbed dose in both normal regions and …
[HTML][HTML] Deep learning renal segmentation for fully automated radiation dose estimation in unsealed source therapy
Background Convolutional neural networks (CNNs) have been shown to be powerful tools
to assist with object detection and—like a human observer—may be trained based on a …
to assist with object detection and—like a human observer—may be trained based on a …
Deep regression using 99mTc-DTPA dynamic renal imaging for automatic calculation of the glomerular filtration rate
Y Pi, Z Zhao, P Yang, J Cheng, L Jiang, J Wei… - European …, 2023 - Springer
Objectives To develop and evaluate an artificial intelligence (AI) system that can
automatically calculate the glomerular filtration rate (GFR) from dynamic renal imaging …
automatically calculate the glomerular filtration rate (GFR) from dynamic renal imaging …
[HTML][HTML] Automated and robust organ segmentation for 3D-based internal dose calculation
M Nazari, LD Jiménez-Franco, M Schroeder, A Kluge… - EJNMMI research, 2021 - Springer
Purpose In this work, we address image segmentation in the scope of dosimetry using deep
learning and make three main contributions:(a) to extend and optimize the architecture of an …
learning and make three main contributions:(a) to extend and optimize the architecture of an …
[HTML][HTML] PSMA-PET improves deep learning-based automated CT kidney segmentation
For dosimetry of radiopharmaceutical therapies, it is essential to determine the volume of
relevant structures exposed to therapeutic radiation. For many radiopharmaceuticals, the …
relevant structures exposed to therapeutic radiation. For many radiopharmaceuticals, the …