Improving Automatic Renal Segmentation in Clinically Normal and Abnormal Paediatric DCE-MRI via Contrast Maximisation and Convolutional Networks for Computing Markers of Kidney Function

Improving Automatic Renal Segmentation in Clinically Normal and Abnormal Paediatric DCE-MRI via Contrast Maximisation and Convolutional Networks for Computing Markers of Kidney Function

There is a growing demand for fast, accurate computation of clinical markers to improve renal function and anatomy assessment with a single study. However, conventional techniques have limitations leading to overestimations of kidney function or failure to provide sufficient spatial resolution to ta...

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Bibliographic Details
Main Authors: Hykoush Asaturyan, Barbara Villarini, Karen Sarao, Jeanne S. Chow, Onur Afacan, Sila Kurugol
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Sensors
Subjects:
cortex
DCE-MRI
GFR
kidney
medulla
MR urography
Online Access:https://www.mdpi.com/1424-8220/21/23/7942

Internet

https://www.mdpi.com/1424-8220/21/23/7942

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