ArticleInternational journal of computer assisted radiology and surgery2014
Design and initial evaluation of a treatment planning software system for MRI-guided laser ablation in the brain.
Article in International journal of computer assisted radiology and surgery, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Protecting organs-at-risk in cancer therapies through temporary organ displacement: a comprehensive review.Oncology reviews · 2025Review
- Development of a Treatment Planning Framework for Laser Interstitial Thermal Therapy (LITT).Cancers · 2023Article
- Modeling andFrontiers in neurology · 2023Article
- Article
- Image-based computer modeling assessment of microwave ablation for treatment of adrenal tumors.International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group · 2022Article
- Microwave ablation of lung tumors: A probabilistic approach for simulation-based treatment planning.Medical physics · 2021Article
- Predictive modeling of brain tumor laser ablation dynamics.Journal of neuro-oncology · 2019Article
- Ablation dynamics during laser interstitial thermal therapy for mesiotemporal epilepsy.PloS one · 2018Article
- MR-guided percutaneous biopsy of solitary pulmonary lesions using a 1.0-T open high-field MRI scanner with respiratory gating.European radiology · 2017Article
- Experimental measurement of microwave ablation heating pattern and comparison to computer simulations.International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group · 2017Article
- Android application for determining surgical variables in brain-tumor resection procedures.Journal of medical imaging (Bellingham, Wash.) · 2017Article
- Boolean Combinations of Implicit Functions for Model Clipping in Computer-Assisted Surgical Planning.PloS one · 2016Article
- A model evaluation study for treatment planning of laser-induced thermal therapy.International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group · 2015Article
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Authors and funding
7 authors.
Funding
Abstract
purposeAn 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.
methodsA 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.
resultsThe total time to initialize and simulate an MRgLITT procedure using the GUI was [Formula: see text]5 min. Each independent simulation took [Formula: see text]30 s, including the time to visualize the results fused with the planning MRI. For demonstration purposes, a simulated steady-state isotherm contour [Formula: see text] was correlated with MR temperature imaging (N = 5). The mean Hausdorff distance between simulated and actual contours was 2.0 mm [Formula: see text], whereas the mean Dice similarity coefficient was 0.93 [Formula: see text].
conclusionsWe 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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