Jolesz Ferenc A
Division of MRI and Image Guided Therapy Program, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA 02115, USA.
Neurosurg Clin N Am. 2005 Jan;16(1):201-13. doi: 10.1016/j.nec.2004.07.011.
MRI-guided neurosurgery not only represents a technical challenge but a transformation from conventional hand-eye coordination to interactive navigational operations. In the future, multimodality-based images will be merged into a single model, in which anatomy and pathologic changes are at once distinguished and integrated into the same intuitive framework. The long-term goals of improving surgical procedures and attendant outcomes, reducing costs, and achieving broad use can be achieved with a three-pronged approach: 1. Improving the presentation of preoperative and real-time intraoperative image information 2. Integrating imaging and treatment-related technology into therapy delivery systems 3. Testing the clinical utility of image guidance in surgery The recent focus in technology development is on improving our ability to understand and apply medical images and imaging systems. Areas of active research include image processing, model-based image analysis, model deformation, real-time registration, real-time 3D (so-called "four-dimensional") imaging, and the integration and presentation of image and sensing information in the operating room. Key elements of the technical matrix also include visualization and display platforms and related software for information and display, model-based image understanding, the use of computing clusters to speed computation (ie, algorithms with partitioned computation to optimize performance), and advanced devices and systems for 3D device tracking (navigation). Current clinical applications are successfully incorporating real-time and/or continuously up-dated image-based information for direct intra-operative visualization. In addition to using traditional imaging systems during surgery, we foresee optimized use of molecular marker technology, direct measures of tissue characterization (ie, optical measurements and/or imaging), and integration of the next generation of surgical and therapy devices (including image-guided robotic systems). Although we expect the primary clinical thrusts of MRI-guided therapy to remain in neurosurgery, with the possible addition of other areas like orthopedic, head, neck, and spine surgery, we also anticipate increased use of image-guided focal thermal ablative methods (eg, laser, RF, cryoablation, high-intensity focused ultrasound). By validating the effectiveness of MRI-guided therapy in specific clinical procedures while refining the technology that serves as its underpinning at the same time, we expect many neurosurgeons will eventually embrace MRI as their intraoperative imaging choice. Clearly, intraoperative MRI offers several palpable advantages. Most important among these are improved medical outcomes, shorter hospitalization, and better and faster procedures with fewer complications. Certain economic and practical barriers also impede the large-scale use of intraoperative MRI. Although there has been a concerted technical effort to increase the benefit/cost ratio by gathering more accurate information, designing more localized and less invasive treatment devices, and developing better methods to orient and position therapy end-effectors, further research is needed. Indeed, the drive to improve and upgrade technology is ongoing. Specifically, in the context of the real-time representation of the patient's anatomy, we have improved the quality and utility of the information presented to the surgeon, which, in turn, contributes to more successful surgical outcomes. We can also expect improvements in intraoperative imaging systems as well as increased use of nonimaging sensors and robotics to facilitate more widespread use of intraoperative MRI.
磁共振成像(MRI)引导下的神经外科手术不仅是一项技术挑战,更是从传统的手眼协调操作向交互式导航手术的转变。未来,基于多模态的图像将被整合到一个单一模型中,在这个模型中,解剖结构和病理变化能够同时被区分并整合到同一个直观的框架内。通过三管齐下的方法,可以实现改善手术过程及相关结果、降低成本并实现广泛应用的长期目标:1. 改善术前和实时术中图像信息的呈现;2. 将成像和治疗相关技术集成到治疗输送系统中;3. 测试图像引导在手术中的临床效用。近期技术发展的重点在于提高我们理解和应用医学图像及成像系统的能力。活跃的研究领域包括图像处理、基于模型的图像分析、模型变形、实时配准、实时三维(所谓的“四维”)成像,以及手术室中图像与传感信息的整合与呈现。技术矩阵的关键要素还包括可视化和显示平台以及用于信息和显示的相关软件、基于模型的图像理解、使用计算集群加速计算(即采用分区计算的算法以优化性能),以及用于三维设备跟踪(导航)的先进设备和系统。当前的临床应用正在成功地将基于实时和/或持续更新图像的信息纳入直接术中可视化。除了在手术中使用传统成像系统外,我们预见分子标记技术的优化应用、组织特征的直接测量(即光学测量和/或成像),以及下一代手术和治疗设备(包括图像引导机器人系统)的整合。尽管我们预计MRI引导治疗的主要临床应用仍将集中在神经外科领域,可能还会扩展到骨科、头颈和脊柱外科等其他领域,但我们也预期图像引导的局部热消融方法(如激光、射频、冷冻消融、高强度聚焦超声)的使用会增加。通过在特定临床手术中验证MRI引导治疗的有效性,同时完善作为其基础的技术,我们预计许多神经外科医生最终会将MRI作为他们术中成像的选择。显然,术中MRI具有几个明显的优势。其中最重要的是改善医疗结果、缩短住院时间,以及手术过程更好更快且并发症更少。某些经济和实际障碍也阻碍了术中MRI的大规模应用。尽管已经通过收集更准确的信息、设计更局部化和侵入性更小的治疗设备,以及开发更好的方法来定位和放置治疗末端执行器等协同技术努力来提高效益成本比,但仍需要进一步研究。事实上,改进和升级技术的动力仍在持续。具体而言,在实时呈现患者解剖结构的背景下,我们提高了呈现给外科医生的信息的质量和效用,这反过来又有助于实现更成功的手术结果。我们还可以预期术中成像系统会有所改进,以及非成像传感器和机器人的使用增加,以促进术中MRI更广泛的应用。