CT-Based Navigation Guidance for Liver Tumor Ablation (Unknown language)

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Image-guided thermal ablation procedures such as microwave ablation (MWA) or radiofrequency ablation (RFA) have become clinically accepted treatment options for liver tumors. The goal of these minimally invasive procedures is the destruction of focal liver malignancies using mostly needle-shaped instruments. Computed tomography (CT) imaging may be used to navigate the applicator to the target position in order to achieve complete tumor ablation. Due to limited image quality and resolution, the treatment target and risk structures may be hardly visible in intra-interventional CT-images, hampering verification of the intended applicator position. In this work, we propose a navigation guidance method based only on CT images to support the physician with additional information to reach the target position. Therefore, planning information extracted from pre-interventional images is fused with the current intra-interventional image. The visible applicator is extracted semi-automatically from the intra-interventional image. The localization of the needle instrument is used to guide the physician by display of the pathway, projection of anatomical structures, and correction suggestions. In an evaluation, we demonstrate the potential of the proposed method to improve the clinical success rate of complex liver tumor ablations while increasing the accuracy and reducing the number of intra-interventional CT images needed.

Table of contents conference proceedings

The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.

1
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43
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53
Comparative Visualization for Diffusion Tensor Imaging Group Study at Multiple Levels of Detail
Zhang, Changgong / Höllt, Thomas / Caan, Matthan W. A. / Eisemann, Elmar / Vilanova, Anna | 2017
63
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Ji, Chengtao / Gronde, Jasper J. van de / Maurits, Natasha M. / Roerdink, Jos B. T. M. | 2017
73
HIFUtk: Visual Analytics for High Intensity Focused Ultrasound Simulation
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83
CT-Based Navigation Guidance for Liver Tumor Ablation
Alpers, Julian / Hansen, Christian / Ringe, Kristina / Rieder, Christian | 2017
93
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Hettig, Julian / Mistelbauer, Gabriel / Rieder, Christian / Lawonn, Kai / Hansen, Christian | 2017
103
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113
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119
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125
Automatic Thrombus Detection in Non-enhanced Computed Tomography Images in Patients With Acute Ischemic Stroke
Löber, Patrick / Stimpel, Bernhard / Syben, Christopher / Maier, Andreas / Ditt, Hendrik / Schramm, Peter / Raczkowski, Boy / Kemmling, André | 2017
131
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137
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Pezzatini, Daniele / Yagüe, Carlos / Rudenick, Paula / Blat, Josep / Bijnens, Bart / Camara, Oscar | 2017
143
UI-Net: Interactive Artificial Neural Networks for Iterative Image Segmentation Based on a User Model
Amrehn, Mario / Gaube, Sven / Unberath, Mathias / Schebesch, Frank / Horz, Tim / Strumia, Maddalena / Steidl, Stefan / Kowarschik, Markus / Maier, Andreas | 2017
149
Bone Fracture and Lesion Assessment using Shape-Adaptive Unfolding
Martinke, Hannes / Petry, Christian / Großkopf, Stefan / Suehling, Michael / Soza, Grzegorz / Preim, Bernhard / Mistelbauer, Gabriel | 2017
159
Combining Pseudo Chroma Depth Enhancement and Parameter Mapping for Vascular Surface Models
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169
Exploration of Interventricular Septum Motion in Multi-Cycle Cardiac MRI
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179
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