Sponsored Content | Webinar | Treatment Planning| May 15, 2017

WEBINAR: Advances in CT to Enhance Radiation Therapy Planning

This webinar is sponsored by Philips Healthcare

 Philips_SmartArc

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.

Register for this webinar

This webinar is sponsored by Philips Healthcare.

 

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.
• Describe emerging CT applications under development and use in radiation oncology.

 

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

Glide-Hurst obtained her Ph.D. in medical physics from Wayne State University in 2007, focusing her efforts on breast ultrasound tomography and utilizing acoustic parameters for breast density evaluation.  She then spent two years in postdoctoral training in the Department of Radiation Oncology at William Beaumont Hospital, with an emphasis on motion management techniques in lung cancer.  She has since been at Henry Ford Health Systems in Detroit, where she currently holds the position of director of translational research. Her primary clinical and research focus includes the implementation of CT and MR simulation (MR-SIM) into radiation oncology and treatment planning. Glide-Hurst is the co-chair of AAPM Task Group 284 - Magnetic Resonance Imaging - Simulation in Radiotherapy: Considerations for Clinical Implementation, Optimization, and Quality Assurance.  Glide-Hurst was awarded a five-year NIH R01 grant on the Development of Anatomical Patient Models to Facilitate MR-only Treatment Planning.  She has published more than 35 peer-reviewed publications and  about 100 abstracts related to imaging in radiation therapy.

 

Register for this webinar

Related Content

#COVID19 #Coronavirus #2019nCoV #Wuhanvirus #SARScov2 United Imaging has installed its first transportable CT Scanner at Maimonides Medical Center in New York City to help expand its capacity for imaging during the fight against coronavirus in the U.S. As the hospital scales its operations to meet the needs of an expected influx of coronavirus patients, doubling its capacity to 1,400 beds, United Imaging’s scanner will help expand its capacity for imaging studies to support diagnosis and treatment.

United Imaging has installed its first transportable CT Scanner at Maimonides Medical Center in New York City to help expand its capacity for imaging during the fight against coronavirus in the U.S. As the hospital scales its operations to meet the needs of an expected influx of coronavirus patients, doubling its capacity to 1,400 beds, United Imaging’s scanner will help expand its capacity for imaging studies to support diagnosis and treatment.

News | Coronavirus (COVID-19) | April 09, 2020
April 9, 2020 — United Imaging, a global leader in adva
The interior of the German air force Airbus A-310 Medivac in Cologne, Germany, before its departure to Bergamo, Italy, March 28 to being ferrying COVID-19 patients to Germany for treatment to aid the Italians, whose healthcare system has been overwhelmed by the rapid spread of the coronavirus pandemic. Bundeswehr Photo by Kevin Schrief.

The interior of the German air force Airbus A-310 Medivac in Cologne, Germany, before its departure to Bergamo, Italy, March 28 to being ferrying COVID-19 patients to Germany for treatment to aid the Italians, whose healthcare system has been overwhelmed by the rapid spread of the coronavirus pandemic. Bundeswehr Photo by Kevin Schrief. Find more images from the COVID-19 pandemic.

 

Feature | Coronavirus (COVID-19) | April 08, 2020 | By Melinda Taschetta-Millane and Dave Fornell
In an effort to keep the imaging field updated on the latest information being released on coronavirus (COVID-19), th
#COVID19 #Coronavirus #2019nCoV #Wuhanvirus #SARScov2  The first of three clinical scenarios presented to the panel with final recommendations. Mild features refer to absence of significant pulmonary dysfunction or damage. Pre-test probability is based upon background prevalence of disease and may be further modified by individual’s exposure risk. The absence of resource constraints corresponds to sufficient availability of personnel, personal protective equipment, COVID-19 testing, hospital beds, and/or ve

 The first of three clinical scenarios presented to the panel with final recommendations. Mild features refer to absence of significant pulmonary dysfunction or damage. Pre-test probability is based upon background prevalence of disease and may be further modified by individual’s exposure risk. The absence of resource constraints corresponds to sufficient availability of personnel, personal protective equipment, COVID-19 testing, hospital beds, and/or ventilators with the need to rapidly triage patients. Contextual detail and considerations for imaging with CXR (chest radiography) versus CT (computed tomography) are presented in the text. (Pos=positive, Neg=negative, Mod=moderate). [Although not covered by this scenario and not shown in the figure, in the presence of significant resources constraints, there is no role for imaging of patients with mild features of COVID-19.] Image courtesy of the journal Radiology

News | Coronavirus (COVID-19) | April 07, 2020
April 7, 2020 — A multinational consens...
#COVID19 #Coronavirus #2019nCoV #Wuhanvirus #SARScov2 Professor David Sebag-Montefiore (Image courtesy of the University of Leeds)

Professor David Sebag-Montefiore (Image courtesy of the University of Leeds)

News | Radiation Therapy | April 07, 2020
April 7, 2020 — An intern...
#COVID19 #Coronavirus #2019nCoV #Wuhanvirus #SARScov2 Chest CT findings of pediatric patients with COVID-19 on transaxial images. (a) Male, 2 months old, 2 days after symptom onset. Patchy ground-glass opacities GGO in the right lower lobe

Chest CT findings of pediatric patients with COVID-19 on transaxial images. Male, 2 months old, 2 days after symptom onset. Patchy ground-glass opacities GGO in the right lower lobe. Image courtesy of Radiology: Cardiothoracic Imaging

News | Coronavirus (COVID-19) | April 06, 2020
April 6, 2020 — Children and teenagers with COVID-19...
Eclipse v16 has received CE mark and is 510(k) pending
News | Proton Therapy | April 06, 2020
April 6, 2020 — Driven by its Intelligent Cancer Care approach in developing new solutions that use advanced technolo