ArticleComputer methods in biomechanics and biomedical engineering. Imaging & visualization2023
Towards 2D/3D Registration of the Preoperative MRI to Intraoperative Fluoroscopic Images for Visualization of Bone Defects.
Article in Computer methods in biomechanics and biomedical engineering. Imaging & visualization, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed, 7 citations in OpenAlex.
- Scan-Free and Fully Automatic Tracking of Native Knee Anatomy from Dynamic Stereo-Radiography with Statistical Shape and Intensity Models.Annals of biomedical engineering · 2024Article
- Efficacy and reliability of three-dimensional fusion guidance for fluoroscopic navigation in transarterial embolization for refractory musculoskeletal pain.Quantitative imaging in medicine and surgery · 2023Article
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6 authors at 2 institutions in 1 country.
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Abstract
Magnetic Resonance Imaging (MRI) is a medical imaging modality that allows for the evaluation of soft-tissue diseases and the assessment of bone quality. Preoperative MRI volumes are used by surgeons to identify defected bones, perform the segmentation of lesions, and generate surgical plans before the surgery. Nevertheless, conventional intraoperative imaging modalities such as fluoroscopy are less sensitive in detecting potential lesions. In this work, we propose a 2D/3D registration pipeline that aims to register preoperative MRI with intraoperative 2D fluoroscopic images. To showcase the feasibility of our approach, we use the core decompression procedure as a surgical example to perform 2D/3D femur registration. The proposed registration pipeline is evaluated using digitally reconstructed radiographs (DRRs) to simulate the intraoperative fluoroscopic images. The resulting transformation from the registration is later used to create overlays of preoperative MRI annotations and planning data to provide intraoperative visual guidance to surgeons. Our results suggest that the proposed registration pipeline is capable of achieving reasonable transformation between MRI and digitally reconstructed fluoroscopic images for intraoperative visualization applications.
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