Towards 2D/3D Registration of the Preoperative MRI to Intraoperative Fluoroscopic Images for Visualization of Bone Defects.

IF 1.3 Q4 ENGINEERING, BIOMEDICAL
Ping-Cheng Ku, Alejandro Martin-Gomez, Cong Gao, Robert Grupp, Simon C Mears, Mehran Armand
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引用次数: 0

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.

将术前磁共振成像与术中透视图像进行二维/三维配准,实现骨缺损的可视化。
磁共振成像(MRI)是一种医学成像模式,可用于评估软组织疾病和骨骼质量。外科医生在术前使用核磁共振成像图识别有缺陷的骨骼,对病变进行分割,并在手术前生成手术计划。然而,传统的术中成像模式(如透视)在检测潜在病变方面灵敏度较低。在这项工作中,我们提出了一种二维/三维配准管道,旨在将术前核磁共振成像与术中二维透视图像进行配准。为了展示我们方法的可行性,我们以核心减压术为手术示例,进行 2D/3D 股骨配准。我们使用数字重建射线照片(DRR)来模拟术中透视图像,对所提出的配准管道进行评估。随后,利用配准产生的变换创建术前核磁共振注释和规划数据的叠加,为外科医生提供术中视觉指导。我们的研究结果表明,所提出的配准流水线能够在核磁共振成像和数字重建透视图像之间实现合理的转换,用于术中可视化应用。
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来源期刊
CiteScore
2.80
自引率
6.20%
发文量
102
期刊介绍: Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization is an international journal whose main goals are to promote solutions of excellence for both imaging and visualization of biomedical data, and establish links among researchers, clinicians, the medical technology sector and end-users. The journal provides a comprehensive forum for discussion of the current state-of-the-art in the scientific fields related to imaging and visualization, including, but not limited to: Applications of Imaging and Visualization Computational Bio- imaging and Visualization Computer Aided Diagnosis, Surgery, Therapy and Treatment Data Processing and Analysis Devices for Imaging and Visualization Grid and High Performance Computing for Imaging and Visualization Human Perception in Imaging and Visualization Image Processing and Analysis Image-based Geometric Modelling Imaging and Visualization in Biomechanics Imaging and Visualization in Biomedical Engineering Medical Clinics Medical Imaging and Visualization Multi-modal Imaging and Visualization Multiscale Imaging and Visualization Scientific Visualization Software Development for Imaging and Visualization Telemedicine Systems and Applications Virtual Reality Visual Data Mining and Knowledge Discovery.
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