Kidney segmentation in ultrasound, magnetic resonance and computed tomography images: A systematic review

HR Torres, S Queiros, P Morais, B Oliveira… - Computer methods and …, 2018 - Elsevier
Background and objective Segmentation is an essential step in computer-aided diagnosis
and treatment planning of kidney diseases. In recent years, several researchers proposed …

Kidney segmentation in renal magnetic resonance imaging-current status and prospects

FG Zöllner, M Kociński, L Hansen, AK Golla… - IEEE …, 2021 - ieeexplore.ieee.org
Magnetic resonance imaging has achieved an increasingly important role in the clinical
work-up of renal diseases such chronic kidney disease (CKD). A large panel of parameters …

Kidney segmentation from DCE-MRI converging level set methods, fuzzy clustering and Markov random field modeling

M El-Melegy, R Kamel, MA El-Ghar, M Shehata… - Scientific reports, 2022 - nature.com
Early diagnosis of transplanted kidney function requires precise Kidney segmentation from
Dynamic Contrast-Enhanced Magnetic Resonance Imaging images as a preliminary step. In …

Image registration in dynamic renal MRI—current status and prospects

FG Zöllner, A Šerifović-Trbalić, G Kabelitz… - … Resonance Materials in …, 2020 - Springer
Magnetic resonance imaging (MRI) modalities have achieved an increasingly important role
in the clinical work-up of chronic kidney diseases (CKD). This comprises among others …

An open source software for analysis of dynamic contrast enhanced magnetic resonance images: UMMPerfusion revisited

FG Zöllner, M Daab, SP Sourbron, LR Schad… - BMC medical …, 2016 - Springer
Background Perfusion imaging has become an important image based tool to derive the
physiological information in various applications, like tumor diagnostics and therapy …

Temporal subtraction of serial CT images with large deformation diffeomorphic metric mapping in the identification of bone metastases

R Sakamoto, M Yakami, K Fujimoto, K Nakagomi… - Radiology, 2017 - pubs.rsna.org
Purpose To determine the improvement of radiologist efficiency and performance in the
detection of bone metastases at serial follow-up computed tomography (CT) by using a …

[HTML][HTML] Pieces-of-parts for supervoxel segmentation with global context: Application to DCE-MRI tumour delineation

B Irving, JM Franklin, BW Papież, EM Anderson… - Medical image …, 2016 - Elsevier
Rectal tumour segmentation in dynamic contrast-enhanced MRI (DCE-MRI) is a challenging
task, and an automated and consistent method would be highly desirable to improve the …

Modeling dynamic radial contrast enhanced MRI with linear time invariant systems for motion correction in quantitative assessment of kidney function

J Coll-Font, O Afacan, JS Chow, RS Lee… - Medical image …, 2021 - Elsevier
Early identification of kidney function deterioration is essential to determine which newborn
patients with congenital kidney disease should be considered for surgical intervention as …

Renal functional MRI and its application

JY Zhou, YC Wang, CH Zeng… - Journal of Magnetic …, 2018 - Wiley Online Library
Renal function varies according to the nature and stage of diseases. Renal functional
magnetic resonance imaging (fMRI), a technique considered superior to the most common …

Variational approach for joint kidney segmentation and registration from DCE-MRI using fuzzy clustering with shape priors

M El-Melegy, R Kamel, M Abou El-Ghar, NS Alghamdi… - Biomedicines, 2022 - mdpi.com
The dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) technique has
great potential in the diagnosis, therapy, and follow-up of patients with chronic kidney …