A Time-Dependent Joint Segmentation and Registration Model: Application to Longitudinal Registration of Hepatic DCE-MRI Sequences

Debroux, Noémie; Lienemann, Guillaume; Magnin, Benoît; Guyader, Carole Le; Vacavant, Antoine

doi:10.1109/ipta50016.2020.9286658

Cited by 1 publication

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References 23 publications

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“…A first version of the RVXLiverSegmentation has been employed for segmenting livers from dynamic-contrast enhanced MRI data in order to test and evaluate a combined registrationsegmentation algorithm, described in (Debroux et al, 2020). We have also compared the time of segmentations obtained by RVXLiverSegmentation and by the embedded image processing tool General Electric AW solution (Server 3.2).…”

Section: Preliminary Results Obtained With the Plug-inmentioning

confidence: 99%

The 3D Slicer RVXLiverSegmentation plug-in for interactive liver anatomy reconstruction from medical images

Lamy¹,

Pelletier²,

Lienemann³

et al. 2022

JOSS

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RVXLiverSegmentation is a 3D Slicer (Kikinis et al., 2014(Kikinis et al., , 2022 plug-in aiming at speedingup the annotation of liver anatomy from medical images (CT -Computerized Tomographyscans or MRI -Magnetic Resonance Imaging-for instance). This organ has particular anatomy and physiology; within its parenchymal volume, the liver receives blood from the portal vein and hepatic artery (the former one being the most visible in medical images), and delivers filtered blood through the hepatic veins, toward inferior vena cava. The blood vessels subdivide into the liver as fine vascular tree structures, which makes the segmentation difficult, especially in the case of MRI. To facilitate this task, our plug-in is decomposed into modules dedicated to the segmentation of the liver volume, inner vessels and possible tumors. RVXLiverSegmentation can be downloaded from (Pelletier et al., 2022) or installed from the 3D Slicer software as an official module.

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Section: Preliminary Results Obtained With the Plug-inmentioning

confidence: 99%