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Titel: 3D-visualization of segmented contacts of directional deep brain stimulation electrodes via registration and fusion of CT and FDCT
Autor(en): Al-Jaberi, Fadil
Moeskes, Matthias
Skalej, Martin
Fachet, MelanieIn der Gemeinsamen Normdatei der DNB nachschlagen
Hoeschen, ChristophIn der Gemeinsamen Normdatei der DNB nachschlagen
Erscheinungsdatum: 2024
Art: Artikel
Sprache: Englisch
Zusammenfassung: Objectives: 3D-visualization of the segmented contacts of directional deep brain stimulation (DBS) electrodes is desirable since knowledge about the position of every segmented contact could shorten the timespan for electrode programming. CT cannot yield images fitting that purpose whereas highly resolved flat detector computed tomography (FDCT) can accurately image the inner structure of the electrode. This study aims to demonstrate the applicability of image fusion of highly resolved FDCT and CT to produce highly resolved images that preserve anatomical context for subsequent fusion to preoperative MRI for eventually displaying segmented contactswithin anatomical context in future studies. Material and methods: Retrospectively collected datasets from 15 patients who underwent bilateral directional DBS electrode implantation were used. Subsequently, after image analysis, a semi-automated 3D-registration of CT and highly resolved FDCT followed by image fusion was performed. The registration accuracy was assessed by computing the target registration error. Results: Our work demonstrated the feasibility of highly resolved FDCT to visualize segmented electrode contacts in 3D. Semiautomatic image registration to CT was successfully implemented in all cases. Qualitative evaluation by two experts revealed good alignment regarding intracranial osseous structures. Additionally, the average for the mean of the target registration error over all patients, based on the assessments of two raters, was computed to be 4.16 mm. Conclusion: Our work demonstrated the applicability of image fusion of highly resolved FDCT to CT for a potential workflow regarding subsequent fusion to MRI in the future to put the electrodes in an anatomical context. Keywords: Deep brain stimulation, Medical image fusion, Multimodal medical image registration, 3D rigid registration, Image-guided intervention.
URI: https://opendata.uni-halle.de//handle/1981185920/120003
http://dx.doi.org/10.25673/118044
Open-Access: Open-Access-Publikation
Nutzungslizenz: (CC BY 4.0) Creative Commons Namensnennung 4.0 International(CC BY 4.0) Creative Commons Namensnennung 4.0 International
Journal Titel: EJNMMI reports
Verlag: Springer International Publishing
Verlagsort: [Cham]
Band: 8
Originalveröffentlichung: 10.1186/s41824-024-00208-6
Seitenanfang: 1
Seitenende: 21
Enthalten in den Sammlungen:Open Access Publikationen der MLU

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