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    Simplex-based navigation tool for a posteriori selection of the preferred deformable image registration outcome from a set of trade-off solutions obtained with multiobjective optimization for the case of breast MRI

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    Authors
    Pirpinia, K
    Bosman, PAN
    Loo, CE
    Russell, NS
    van Herk, Marcel
    Alderliesten, T
    Affiliation
    Netherlands Cancer Institute, Department of Radiation Oncology, Amsterdam, The Netherlands
    Issue Date
    2018
    
    Metadata
    Show full item record
    Abstract
    Multiobjective optimization approaches for deformable image registration (DIR) remove the need for manual adjustment of key parameters and provide a set of solutions that represent high-quality trade-offs between objectives of interest. Choosing a desired outcome a posteriori is potentially far more insightful as differences between solutions can be immediately visualized. The purpose of this work is to investigate whether such an approach allows clinical experts to intuitively select their preferred DIR outcome. To this end, we developed a simplex-based tool for solution navigation and asked 10 clinical experts to use it to choose their preferred DIR outcome from sets of trade-off solutions obtained for 10 breast magnetic resonance DIR cases of low (prone-prone DIR; n=5 ) and high (prone-supine DIR; n=5 ) difficulty, of patients and volunteers, respectively. The usability of the software is subsequently evaluated by the observers using the system usability scale. Further, the quality of the selected DIR outcomes is evaluated using the mean target registration error. Results show that the users are able to identify and select high-quality DIR outcomes, and attested to high learnability and usability of our software, supporting the validity of the presumed added value of taking a multiobjective perspective on DIR in clinical practice.
    Citation
    Pirpinia K, Bosman PAN, Loo CE, Russell NS, van Herk MB, Alderliesten T. Simplex-based navigation tool for a posteriori selection of the preferred deformable image registration outcome from a set of trade-off solutions obtained with multiobjective optimization for the case of breast MRI. Journal of medical imaging. 2018 Oct;5(4):045501.
    Journal
    Journal of Medical Imaging
    URI
    http://hdl.handle.net/10541/621744
    DOI
    10.1117/1.JMI.5.4.045501
    PubMed ID
    30840735
    Additional Links
    https://dx.doi.org/10.1117/1.JMI.5.4.045501
    Type
    Article
    Language
    en
    ae974a485f413a2113503eed53cd6c53
    10.1117/1.JMI.5.4.045501
    Scopus Count
    Collections
    All Paterson Institute for Cancer Research

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