TU Darmstadt / ULB / TUbiblio

COSMO - Coupled Shape Model for Radiation Therapy Planning of Head and Neck Cancer

Jung, Florian ; Steger, Sebastian ; Knapp, Oliver ; Noll, Matthias ; Wesarg, Stefan (2014)
COSMO - Coupled Shape Model for Radiation Therapy Planning of Head and Neck Cancer.
Clinical Image-Based Procedures. Translational Research in Medical Imaging.
doi: 10.1007/978-3-319-13909-8_4
Conference or Workshop Item, Bibliographie

Abstract

Radiation therapy plays a major role in head and neck cancer treatment. Segmentation of organs at risk prior to the radiation therapy helps to prevent the radiation beam from damaging healthy tissue, whereas a concentrated ray can target the cancerous regions. Unfortunately, the manual annotation of all relevant structures in the head and neck area is very time-consuming and existing atlas-based solutions don't provide sufficient segmentation accuracy. Therefore, we propose a coupled shape model (CoSMo) for the segmentation of key structures within the head and neck area. The model's adaptation to a test image is done with respect to the appearance of its items and the trained articulation space. 40 data sets labeled by clinicians containing 22 structures were used to build the CoSMo. Even on very challenging data sets with unnatural postures, which occur far more often than expected, the model adaptation algorithm succeeds. A first evaluation showed an average directed Hausdorff distance of 13.22mm and an average DICE overlap of 0.62. Furthermore, we review some of the challenges we encountered during the course of building our model from image data, taken from actual radiation therapy planing cases.

Item Type: Conference or Workshop Item
Erschienen: 2014
Creators: Jung, Florian ; Steger, Sebastian ; Knapp, Oliver ; Noll, Matthias ; Wesarg, Stefan
Type of entry: Bibliographie
Title: COSMO - Coupled Shape Model for Radiation Therapy Planning of Head and Neck Cancer
Language: English
Date: 2014
Publisher: Springer, Berlin, Heidelberg, New York
Series: Lecture Notes in Computer Science (LNCS); 8680
Event Title: Clinical Image-Based Procedures. Translational Research in Medical Imaging
DOI: 10.1007/978-3-319-13909-8_4
Abstract:

Radiation therapy plays a major role in head and neck cancer treatment. Segmentation of organs at risk prior to the radiation therapy helps to prevent the radiation beam from damaging healthy tissue, whereas a concentrated ray can target the cancerous regions. Unfortunately, the manual annotation of all relevant structures in the head and neck area is very time-consuming and existing atlas-based solutions don't provide sufficient segmentation accuracy. Therefore, we propose a coupled shape model (CoSMo) for the segmentation of key structures within the head and neck area. The model's adaptation to a test image is done with respect to the appearance of its items and the trained articulation space. 40 data sets labeled by clinicians containing 22 structures were used to build the CoSMo. Even on very challenging data sets with unnatural postures, which occur far more often than expected, the model adaptation algorithm succeeds. A first evaluation showed an average directed Hausdorff distance of 13.22mm and an average DICE overlap of 0.62. Furthermore, we review some of the challenges we encountered during the course of building our model from image data, taken from actual radiation therapy planing cases.

Uncontrolled Keywords: Business Field: Visual decision support, Research Area: Human computer interaction (HCI), Automatic segmentation, Statistical shape models (SSM), Radiation therapies
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Date Deposited: 12 Nov 2018 11:16
Last Modified: 12 Nov 2018 11:16
PPN:
Export:
Suche nach Titel in: TUfind oder in Google
Send an inquiry Send an inquiry

Options (only for editors)
Show editorial Details Show editorial Details