Electroporation-Based Treatment Planning for Deep-Seated Tumors Based on Automatic Liver Segmentation of MRI Images

Electroporation is the phenomenon that occurs when a cell is exposed to a high electric field, which causes transient cell membrane permeabilization. A paramount electroporation-based application is electrochemotherapy, which is performed by delivering high-voltage electric pulses that enable the ch...

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Vydáno v:PloS one Ročník 8; číslo 8; s. e69068
Hlavní autoři: Pavliha, Denis, Mušič, Maja M., Serša, Gregor, Miklavčič, Damijan
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States Public Library of Science 02.08.2013
Public Library of Science (PLoS)
Témata:
Adaptive algorithms
Algorithms
Biology
Biomedical engineering
Bone tumors
Brain
Care and treatment
Chemotherapy
Computer Science
Digital imaging
Drug delivery systems
Electric fields
Electric pulses
Electrical engineering
Electrochemotherapy
Electrodes
Electroporation
Engineering
Evaluation
Feasibility studies
Humans
Image Interpretation, Computer-Assisted
Image processing
Image segmentation
Imaging, Three-Dimensional
Liver
Liver - diagnostic imaging
Magnetic Resonance Imaging
Mathematics
Medical imaging
Medical imaging equipment
Medicine
Metastases
Metastasis
Models, Theoretical
Neoplasms - diagnostic imaging
Neoplasms - therapy
NMR
Nodules
Nuclear magnetic resonance
Oncology
Optimization
Pattern Recognition, Automated
Planning
Radiation therapy
Radiography
Segmentation
Snakes
Three dimensional models
Training
Tumor cells
Tumors
ISSN:1932-6203, 1932-6203
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Shrnutí:Electroporation is the phenomenon that occurs when a cell is exposed to a high electric field, which causes transient cell membrane permeabilization. A paramount electroporation-based application is electrochemotherapy, which is performed by delivering high-voltage electric pulses that enable the chemotherapeutic drug to more effectively destroy the tumor cells. Electrochemotherapy can be used for treating deep-seated metastases (e.g. in the liver, bone, brain, soft tissue) using variable-geometry long-needle electrodes. To treat deep-seated tumors, patient-specific treatment planning of the electroporation-based treatment is required. Treatment planning is based on generating a 3D model of the organ and target tissue subject to electroporation (i.e. tumor nodules). The generation of the 3D model is done by segmentation algorithms. We implemented and evaluated three automatic liver segmentation algorithms: region growing, adaptive threshold, and active contours (snakes). The algorithms were optimized using a seven-case dataset manually segmented by the radiologist as a training set, and finally validated using an additional four-case dataset that was previously not included in the optimization dataset. The presented results demonstrate that patient's medical images that were not included in the training set can be successfully segmented using our three algorithms. Besides electroporation-based treatments, these algorithms can be used in applications where automatic liver segmentation is required.
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Conceived and designed the experiments: DP GS DM. Performed the experiments: DP MMM. Analyzed the data: DP MMM. Contributed reagents/materials/analysis tools: DP MMM GS. Wrote the paper: DP.
Competing Interests: The authors have declared that no competing interests exist.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0069068