Please use this identifier to cite or link to this item:
http://dx.doi.org/10.25673/118044
Title: | 3D-visualization of segmented contacts of directional deep brain stimulation electrodes via registration and fusion of CT and FDCT |
Author(s): | Al-Jaberi, Fadil Moeskes, Matthias Skalej, Martin Fachet, Melanie ![]() Hoeschen, Christoph ![]() |
Issue Date: | 2024 |
Type: | Article |
Language: | English |
Abstract: | 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: | ![]() |
License: | ![]() |
Journal Title: | EJNMMI reports |
Publisher: | Springer International Publishing |
Publisher Place: | [Cham] |
Volume: | 8 |
Original Publication: | 10.1186/s41824-024-00208-6 |
Page Start: | 1 |
Page End: | 21 |
Appears in Collections: | Open Access Publikationen der MLU |
Files in This Item:
File | Description | Size | Format | |
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s41824-024-00208-6.pdf | 2.69 MB | Adobe PDF | ![]() View/Open |