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

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 y 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.

Descripción

Título: Organ-focused mutual information for nonrigid multimodal registration of liver CT and Gd–EOB–DTPA-enhanced MRI
Autor/es:
  • 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
Tipo de Documento: Artículo
Título de Revista/Publicación: Medical Image Analysis
Fecha: Enero 2014
Volumen: 18
Materias:
Palabras Clave Informales: Image registration; Mutual information; Liver surgery; Magnetic resonance imaging; Computed tomography
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Ingeniería Electrónica
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

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).

Más información

ID de Registro: 22300
Identificador DC: http://oa.upm.es/22300/
Identificador OAI: oai:oa.upm.es:22300
Identificador DOI: 10.1016/j.media.2013.09.002
URL Oficial: http://www.sciencedirect.com/science/article/pii/S1361841513001229
Depositado por: Memoria Investigacion
Depositado el: 11 Feb 2014 17:12
Ultima Modificación: 01 Feb 2015 23:56
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