| Autor: |
Waldmannstetter, Diana, Wiestler, Benedikt, Schwarting, Julian, Ezhov, Ivan, Metz, Marie, Bakas, Spyridon, Baheti, Bhakti, Chakrabarty, Satrajit, Rueckert, Daniel, Kirschke, Jan S., Heckemann, Rolf A., Piraud, Marie, Menze, Bjoern H., Kofler, Florian |
| Rok vydání: |
2023 |
| Předmět: |
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| Druh dokumentu: |
Working Paper |
| Popis: |
Even though simultaneous optimization of similarity metrics is a standard procedure in the field of semantic segmentation, surprisingly, this is much less established for image registration. To help closing this gap in the literature, we investigate in a complex multi-modal 3D setting whether simultaneous optimization of registration metrics, here implemented by means of primitive summation, can benefit image registration. We evaluate two challenging datasets containing collections of pre- to post-operative and pre- to intra-operative MR images of glioma. Employing the proposed optimization, we demonstrate improved registration accuracy in terms of TRE on expert neuroradiologists' landmark annotations. |
| Databáze: |
arXiv |
| Externí odkaz: |
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