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International Journal of Computer Assisted Radiology and Surgery

Erschienen in:

01.07.2014 | Original Article

Design and initial evaluation of a treatment planning software system for MRI-guided laser ablation in the brain

verfasst von: E. Yeniaras, D. T. Fuentes, S. J. Fahrenholtz, J. S. Weinberg, F. Maier, J. D. Hazle, R. J. Stafford

Erschienen in: International Journal of Computer Assisted Radiology and Surgery | Ausgabe 4/2014

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Abstract

Purpose

An open-source software system for planning magnetic resonance (MR)-guided laser-induced thermal therapy (MRgLITT) in brain is presented. The system was designed to provide a streamlined and operator-friendly graphical user interface (GUI) for simulating and visualizing potential outcomes of various treatment scenarios to aid in decisions on treatment approach or feasibility.

Methods

A portable software module was developed on the 3D Slicer platform, an open-source medical imaging and visualization framework. The module introduces an interactive GUI for investigating different laser positions and power settings as well as the influence of patient-specific tissue properties for quickly creating and evaluating custom treatment options. It also provides a common treatment planning interface for use by both open-source and commercial finite element solvers. In this study, an open-source finite element solver for Pennes’ bioheat equation is interfaced to the module to provide rapid 3D estimates of the steady-state temperature distribution and potential tissue damage in the presence of patient-specific tissue boundary conditions identified on segmented MR images.

Results

The total time to initialize and simulate an MRgLITT procedure using the GUI was \(<\)5 min. Each independent simulation took \(<\)30 s, including the time to visualize the results fused with the planning MRI. For demonstration purposes, a simulated steady-state isotherm contour \((57\,^{\circ }\hbox {C})\) was correlated with MR temperature imaging (N = 5). The mean Hausdorff distance between simulated and actual contours was 2.0 mm \((\sigma \,=\,0.4\,\hbox {mm})\), whereas the mean Dice similarity coefficient was 0.93 \((\sigma =0.026)\).

Conclusions

We have designed, implemented, and conducted initial feasibility evaluations of a software tool for intuitive and rapid planning of MRgLITT in brain. The retrospective in vivo dataset presented herein illustrates the feasibility and potential of incorporating fast, image-based bioheat predictions into an interactive virtual planning environment for such procedures.

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Titel: Design and initial evaluation of a treatment planning software system for MRI-guided laser ablation in the brain
verfasst von: E. Yeniaras
D. T. Fuentes
S. J. Fahrenholtz
J. S. Weinberg
F. Maier
J. D. Hazle
R. J. Stafford
Publikationsdatum: 01.07.2014
Verlag: Springer Berlin Heidelberg
Erschienen in: International Journal of Computer Assisted Radiology and Surgery / Ausgabe 4/2014
Print ISSN: 1861-6410
Elektronische ISSN: 1861-6429
DOI: https://doi.org/10.1007/s11548-013-0948-x

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Design and initial evaluation of a treatment planning software system for MRI-guided laser ablation in the brain