Gd-EOB enhanced MRI T1-weighted 3D-GRE with and without elevated flip angle modulation for threshold-based liver volume segmentation. (December 2015)

• Record Type: Journal Article
• Authors: Grieser, Christian; Denecke, Timm; Rothe, Jan-Holger; Geisel, Dominik; Stelter, Lars; Cannon Walter, Thula; Seehofer, Daniel; Steffen, Ingo G
• Is Part Of: Acta radiologica. Volume 56:Number 12(2015 Dec.)
• Page Start: 1419
• Page End: 1427
• Publication Date: 2015-12
• Subjects: Liver MRI -- gadoxetic acid -- Gd-EOB -- liver segmentation -- liver volume -- flip angle; Radiology, Medical -- Periodicals; Radiography, Medical -- Periodicals; Radiotherapy -- Periodicals; 616.0757
• DOI: 10.1177/0284185114558975
• Languages: English
• ISSNs: 0284-1851

Abstract

Background: Despite novel software solutions, liver volume segmentation is still a time-consuming procedure and often requires further manual optimization. With the high signal intensity of the liver parenchyma in Gd-EOB enhanced magnetic resonance imaging (MRI), liver volume segmentation may be improved. Purpose: To evaluate the practicability of threshold-based segmentation of the liver volume using Gd-EOB-enhanced MRI including a customized three-dimensional (3D) sequence. Material and Methods: A total of 20 patients examined with Gd-EOB MRI (hepatobiliary phase T1-weighted (T1W) 3D sequence [VIBE]; flip angle [FA], 10° and 30°) were enrolled in this retrospective study. The datasets were independently processed by two blinded observers (O1 and O2) in two ways: manual (man) and threshold-based (thresh; study method) segmentation of the liver each followed by an optimization step (man+opt and thresh+opt; man+opt [FA10°] served as reference method). Resulting liver volumes and segmentation times were compared. A liver conversion factor was calculated in percent, describing the non-hepatocellular fraction of the total liver volume, i.e. bile ducts and vessels. Results: Thresh+opt (FA10°) was significantly faster compared to the reference method leading to a median volume overestimation of 4%/8% ( P < 0.001). Using thresh+opt (FA30°), segmentation was even faster ( P < 0.001) and even reduced median volume deviation of 0%/2% (O1/O2; both P > 0.2). The liver conversion factor was found to be 10%. Conclusion: Threshold-based liver segmentation employing Gd-EOB-enhanced hepatobiliary phase standard T1W 3D sequence is accurate and time-saving. The performance of this approach can be further improved by increasing the FA.