CT and MRI Image Fusion Error: An Analysis of Co-Registration Error Using Commercially Available Deep Brain Stimulation Surgical Planning Software
| Autor: | John F. Burke, Dominic Tanzillo, Daniel A. Lim, Paul S. Larson, Philip A. Starr |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Deep brain stimulation
Computer science Deep Brain Stimulation medicine.medical_treatment Anatomical structures Co registration Surgical planning 030218 nuclear medicine & medical imaging 03 medical and health sciences Mri image 0302 clinical medicine Software medicine Humans Computer vision Retrospective Studies Image fusion medicine.diagnostic_test business.industry Magnetic resonance imaging Magnetic Resonance Imaging Surgery Neurology (clinical) Artificial intelligence Tomography X-Ray Computed business 030217 neurology & neurosurgery |
| Zdroj: | Stereotactic and Functional Neurosurgery. 99:196-202 |
| ISSN: | 1423-0372 1011-6125 |
| DOI: | 10.1159/000511114 |
| Popis: | Introduction: During deep brain stimulation (DBS) surgery, computed tomography (CT) and magnetic resonance imaging (MRI) scans need to be co-registered or fused. Image fusion is associated with the error that can distort the location of anatomical structures. Co-registration in DBS surgery is usually performed automatically by proprietary software; the amount of error during this process is not well understood. Here, our goal is to quantify the error during automated image co-registration with FrameLink™, a commonly used software for DBS planning and clinical research. Methods: This is a single-center retrospective study at a quaternary care referral center, comparing CT and MR imaging co-registration for a consecutive series of patients over a 12-month period. We collected CT images and MRI scans for 22 patients with Parkinson’s disease requiring placement of DBS. Anatomical landmarks were located on CT images and MRI scans using a novel image analysis algorithm that included a method for capturing the potential error inherent in the image standardization step of the analysis. The distance between the anatomical landmarks was measured, and the error was found by averaging the distances across all patients. Results: The average error during co-registration was 1.25 mm. This error was significantly larger than the error resulting from image standardization (0.19 mm) and was worse in the anterior-posterior direction. Conclusions: The image fusion errors found in this analysis were nontrivial. Although the estimated error may be inflated, it is significant enough that users must be aware of this potential inaccuracy, and developers of proprietary software should provide details about the magnitude and direction of co-registration errors. |
| Databáze: | OpenAIRE |
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