Organ-focused mutual information for nonrigid multimodal registration of liver CT and Gd–EOB–DTPA-enhanced MRI

Fernández de Manuel, Laura and Wöllny, Gert and Kybic, Jan and Jimenez Carretero, Daniel and Tellado, Jose M. and Ramon, Enrique and Desco, Manuel and Santos Lleo, Andres de and Pascau González-Garzón, Javier and Ledesma Carbayo, María Jesús (2014). Organ-focused mutual information for nonrigid multimodal registration of liver CT and Gd–EOB–DTPA-enhanced MRI. "Medical Image Analysis", v. 18 (n. 1); pp. 22-35. ISSN 1361-8415. https://doi.org/10.1016/j.media.2013.09.002.

Description

Title: Organ-focused mutual information for nonrigid multimodal registration of liver CT and Gd–EOB–DTPA-enhanced MRI
Author/s:
  • Fernández de Manuel, Laura
  • Wöllny, Gert
  • Kybic, Jan
  • Jimenez Carretero, Daniel
  • Tellado, Jose M.
  • Ramon, Enrique
  • Desco, Manuel
  • Santos Lleo, Andres de
  • Pascau González-Garzón, Javier
  • Ledesma Carbayo, María Jesús
Item Type: Article
Título de Revista/Publicación: Medical Image Analysis
Date: January 2014
ISSN: 1361-8415
Volume: 18
Subjects:
Freetext Keywords: Image registration; Mutual information; Liver surgery; Magnetic resonance imaging; Computed tomography
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería Electrónica
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Accurate detection of liver lesions is of great importance in hepatic surgery planning. Recent studies have shown that the detection rate of liver lesions is significantly higher in gadoxetic acid-enhanced magnetic resonance imaging (Gd–EOB–DTPA-enhanced MRI) than in contrast-enhanced portal-phase computed tomography (CT); however, the latter remains essential because of its high specificity, good performance in estimating liver volumes and better vessel visibility. To characterize liver lesions using both the above image modalities, we propose a multimodal nonrigid registration framework using organ-focused mutual information (OF-MI). This proposal tries to improve mutual information (MI) based registration by adding spatial information, benefiting from the availability of expert liver segmentation in clinical protocols. The incorporation of an additional information channel containing liver segmentation information was studied. A dataset of real clinical images and simulated images was used in the validation process. A Gd–EOB–DTPA-enhanced MRI simulation framework is presented. To evaluate results, warping index errors were calculated for the simulated data, and landmark-based and surface-based errors were calculated for the real data. An improvement of the registration accuracy for OF-MI as compared with MI was found for both simulated and real datasets. Statistical significance of the difference was tested and confirmed in the simulated dataset (p < 0.01).

More information

Item ID: 22300
DC Identifier: http://oa.upm.es/22300/
OAI Identifier: oai:oa.upm.es:22300
DOI: 10.1016/j.media.2013.09.002
Official URL: http://www.sciencedirect.com/science/article/pii/S1361841513001229
Deposited by: Memoria Investigacion
Deposited on: 11 Feb 2014 17:12
Last Modified: 01 Feb 2015 23:56
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