Optimising inter-patient image registration for image-based data mining in breast radiotherapy

Background and purpose: Image-based data mining (IBDM) requires spatial normalisation to reference anatomy, which is challenging in breast radiotherapy due to variations in the treatment position, breast shape and volume. We aim to optimise spatial normalisation for breast IBDM. Materials and method...

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Bibliografski detalji

Glavni autori:	Tanwiwat Jaikuna, Fiona Wilson, David Azria, Jenny Chang-Claude, Maria Carmen De Santis, Sara Gutiérrez-Enríquez, Marcel van Herk, Peter Hoskin, Lea Kotzki, Maarten Lambrecht, Zoe Lingard, Petra Seibold, Alejandro Seoane, Elena Sperk, R Paul Symonds, Christopher J. Talbot, Tiziana Rancati, Tim Rattay, Victoria Reyes, Barry S. Rosenstein, Dirk de Ruysscher, Ana Vega, Liv Veldeman, Adam Webb, Catharine ML West, Marianne C Aznar, Eliana Vasquez Osorio
Format:	Artigo
Jezik:	Inglês
Izdano:	Elsevier 2024-10-01
Serija:	Physics and Imaging in Radiation Oncology
Teme:	Breast radiotherapy Image registration Image-based data mining Spatial normalisation
Online pristup:	http://www.sciencedirect.com/science/article/pii/S2405631624001052
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