Literature DB >> 16126927

Liver and spleen volumetry with quantitative MR imaging and dual-space clustering segmentation.

Steven W Farraher1, Hernan Jara, Kevin J Chang, Andrew Hou, Jorge A Soto.   

Abstract

The purpose of this HIPAA-compliant, institutional review board-approved study was to assess the liver and spleen volumes calculated by using a semiautomated dual-space clustering segmentation technique, as compared with the volumes calculated by using the manual contour-tracing method. The quantitative magnetic resonance (MR) imaging data used as input were computed from images acquired by using a mixed fast spin-echo pulse sequence that was implemented with respiratory triggering. Linear regression analysis was used to assess agreement regarding the volumes calculated by using both segmentation techniques. There was strong agreement regarding the regression parameters for the liver (r = 0.98, P < .001) and the spleen (r = 0.99, P < .001) and the mean percentage volume differences for the liver (1.2%) and the spleen (0.9%). The mean segmentation time per patient was significantly shorter with use of the dual-space clustering method (P < .001). RSNA, 2005

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Year:  2005        PMID: 16126927     DOI: 10.1148/radiol.2371041416

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  19 in total

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5.  Automated segmentation and quantification of liver and spleen from CT images using normalized probabilistic atlases and enhancement estimation.

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7.  Computerized segmentation of liver in hepatic CT and MRI by means of level-set geodesic active contouring.

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8.  Determination of splenomegaly by coronal oblique length on CT.

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Journal:  Jpn J Radiol       Date:  2017-11-16       Impact factor: 2.374

9.  Robust Multicontrast MRI Spleen Segmentation for Splenomegaly Using Multi-Atlas Segmentation.

Authors:  Yuankai Huo; Jiaqi Liu; Zhoubing Xu; Robert L Harrigan; Albert Assad; Richard G Abramson; Bennett A Landman
Journal:  IEEE Trans Biomed Eng       Date:  2018-02       Impact factor: 4.538

10.  Assessing splenomegaly: automated volumetric analysis of the spleen.

Authors:  Marius George Linguraru; Jesse K Sandberg; Elizabeth C Jones; Ronald M Summers
Journal:  Acad Radiol       Date:  2013-03-25       Impact factor: 3.173

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