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2019 | OriginalPaper | Buchkapitel

22. Computer-Assisted Approaches for Uterine Fibroid Segmentation in MRgFUS Treatments: Quantitative Evaluation and Clinical Feasibility Analysis

verfasst von : Leonardo Rundo, Carmelo Militello, Andrea Tangherloni, Giorgio Russo, Roberto Lagalla, Giancarlo Mauri, Maria Carla Gilardi, Salvatore Vitabile

Erschienen in: Quantifying and Processing Biomedical and Behavioral Signals

Verlag: Springer International Publishing

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Abstract

Nowadays, uterine fibroids can be treated using Magnetic Resonance guided Focused Ultrasound Surgery (MRgFUS), which is a non-invasive therapy exploiting thermal ablation. In order to measure the Non-Perfused Volume (NPV) for treatment response assessment, the ablated fibroid areas (i.e., Region of Treatment, ROT) are manually contoured by a radiologist. The current operator-dependent methodology could affect the subsequent follow-up phases, due to the lack of result repeatability. In addition, this fully manual procedure is time-consuming, considerably increasing execution times. These critical issues can be addressed only by means of accurate and efficient automated Pattern Recognition approaches. In this contribution, we evaluate two computer-assisted segmentation methods, which we have already developed and validated, for uterine fibroid segmentation in MRgFUS treatments. A quantitative comparison on segmentation accuracy, in terms of area-based and distance-based metrics, was performed. The clinical feasibility of these approaches was assessed from physicians’ perspective, by proposing an integrated solution.

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Vorheriges Kapitel Unsupervised Gene Identification in Colorectal Cancer

Nächstes Kapitel Supervised Gene Identification in Colorectal Cancer

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Titel: Computer-Assisted Approaches for Uterine Fibroid Segmentation in MRgFUS Treatments: Quantitative Evaluation and Clinical Feasibility Analysis
verfasst von: Leonardo Rundo
Carmelo Militello
Andrea Tangherloni
Giorgio Russo
Roberto Lagalla
Giancarlo Mauri
Maria Carla Gilardi
Salvatore Vitabile
Verlag: Springer International Publishing
Buch: Quantifying and Processing Biomedical and Behavioral Signals
Print ISBN: 978-3-319-95094-5

Electronic ISBN: 978-3-319-95095-2

Copyright-Jahr: 2019
DOI: https://doi.org/10.1007/978-3-319-95095-2_22

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