WEBINAR: Advances in CT to Enhance Radiation Therapy Planning

The webinar "Advances in Computed Tomography (CT) to Enhance Radiation Therapy Planning," will offer an overview of the use of CT simulation in radiation therapy and the technologies available to reduce image artifacts that may impact the quality of care.

The webinar took place June 7, 2017, and the archive version is available immediately when you register.

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本次网络研讨会由飞利浦医疗集团赞助。

Statement of Purpose
CT simulation is the current standard of care for radiation therapy treatment planning due to its excellent geometric fidelity and relationship to material density required for dose calculation. However, image artifacts may be detrimental to treatment planning accuracy. This talk will describe the state of the art of CT artifact reduction, particularly for metal artifacts and potential impacts on radiation therapy planning. Furthermore, as we image more frequently for adaptive planning purposes and adhere to as low as reasonably achievable (ALARA) principles, dose reduction and image optimization without information loss is essential. Concepts such as incorporating advanced CT reconstruction algorithms such as iterative and model-based reconstruction will be discussed. The impact of using these algorithms in the context of radiation therapy will be described. Finally, consideration will be given to emerging CT applications on the horizon.

Learning Objectives
Upon completion of this activity, participants will be able to:

• Review causes of CT image artifacts and potential impacts on treatment planning.
• Explain the state of the art for metal artifact reduction technologies in CT and their potential impact on clinical treatment planning.
• Define typical CT doses in the context of radiation therapy.
• Discuss existing CT technologies to lower dose in image acquisition and examine the potential clinical impact in radiation oncology.
描述正在开发和使用的新兴CT在放射肿瘤学中的应用。

Intended Audience:
This activity is intended for radiation oncologists, medical physicists, dosimetrists, and all staff involved in imaging used for oncology treatment planning and simulation.

Speaker:

Carri K. Glide-Hurst, Ph.D., DABR
Director of Translational Research
Henry Ford Health System

Glide-Hurst于2007年获得韦恩州立大学医学物理学博士学位，专注于乳腺超声断层扫描和利用声学参数进行乳腺密度评估。随后，她在威廉博蒙特医院的放射肿瘤科进行了两年的博士后培训，重点是肺癌的运动管理技术。此后，她一直在底特律的Henry Ford Health Systems工作，目前担任转化研究主任。她的主要临床和研究重点包括将CT和MR模拟(MR- sim)应用于放射肿瘤学和治疗规划。glid - hurst是AAPM 284任务组的联合主席-磁共振成像-放疗模拟:临床实施、优化和质量保证的考虑。格莱德-赫斯特获得了美国国立卫生研究院R01拨款，用于发展解剖病人模型，以促进仅mr治疗计划。她发表了超过35篇同行评议的出版物和大约100篇与放射治疗成像相关的摘要。

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