Premium
Registration of different phases of contrast‐enhanced CT/MRI data for computer‐assisted liver surgery planning: Evaluation of state‐of‐the‐art methods
Author(s) -
Lange T,
Wenckebach T H,
Lamecker H,
Seebass M,
Hünerbein M,
Eulenstein S,
Gebauer B,
Schlag P M
Publication year - 2005
Publication title -
the international journal of medical robotics and computer assisted surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.556
H-Index - 53
eISSN - 1478-596X
pISSN - 1478-5951
DOI - 10.1002/rcs.23
Subject(s) - matching (statistics) , computer science , image registration , masking (illustration) , contrast (vision) , surgical planning , mutual information , intensity (physics) , artificial intelligence , radiology , medicine , mathematics , image (mathematics) , statistics , physics , art , visual arts , quantum mechanics
The exact localization of intrahepatic vessels in relation to a tumour is an important issue in oncological liver surgery. For computer‐assisted preoperative planning of surgical procedures high quality vessel models are required. In this work we show how to generate such models on the basis of registered CT or MRI data at different phases of contrast agent propagation. We combine well‐established intensity‐based rigid and non‐rigid registration approaches using Mutual Information as distance measure with different masking strategies as well as intensity inhomogeneity correction for MRI data. Non‐rigid deformations are modelled by multilevel cubic B‐splines. Quantitative evaluations of 5 MRI and 5 CT image pairs show that the liver moves rigidly 7.2 (+/− 4.2) mm on average, while the remaining non‐rigid deformations range from 1.4–3 mm. As a result we find that masked rigid registration is necessary and in many cases also sufficient on clinical data. After non‐rigid registration the matching shows no deviations in most cases. Copyright © 2005 John Wiley & Sons, Ltd.