The development of a population of 4D pediatric XCAT phantoms for CT imaging research and optimization

Hannah Norris; Yakun Zhang; Jack Frush; Gregory M. Sturgeon; Anum Minhas M.D.; Daniel J. Tward; J. Tilak Ratnanather; M. I. Miller; Donald Frush M.D.; Ehsan Samei; W. Paul Segars

doi:10.1117/12.2043777

19 March 2014 The development of a population of 4D pediatric XCAT phantoms for CT imaging research and optimization

Hannah Norris, Yakun Zhang, Jack Frush, Gregory M. Sturgeon, Anum Minhas M.D., Daniel J. Tward, J. Tilak Ratnanather, M. I. Miller, Donald Frush M.D., Ehsan Samei, W. Paul Segars

Author Affiliations +

Proceedings Volume 9033, Medical Imaging 2014: Physics of Medical Imaging; 90331V (2014) https://doi.org/10.1117/12.2043777
Event: SPIE Medical Imaging, 2014, San Diego, California, United States

Abstract

With the increased use of CT examinations, the associated radiation dose has become a large concern, especially for pediatrics. Much research has focused on reducing radiation dose through new scanning and reconstruction methods. Computational phantoms provide an effective and efficient means for evaluating image quality, patient-specific dose, and organ-specific dose in CT. We previously developed a set of highly-detailed 4D reference pediatric XCAT phantoms at ages of newborn, 1, 5, 10, and 15 years with organ and tissues masses matched to ICRP Publication 89 values. We now extend this reference set to a series of 64 pediatric phantoms of a variety of ages and height and weight percentiles, representative of the public at large. High resolution PET-CT data was reviewed by a practicing experienced radiologist for anatomic regularity and was then segmented with manual and semi-automatic methods to form a target model. A Multi-Channel Large Deformation Diffeomorphic Metric Mapping (MC-LDDMM) algorithm was used to calculate the transform from the best age matching pediatric reference phantom to the patient target. The transform was used to complete the target, filling in the non-segmented structures and defining models for the cardiac and respiratory motions. The complete phantoms, consisting of thousands of structures, were then manually inspected for anatomical accuracy. 3D CT data was simulated from the phantoms to demonstrate their ability to generate realistic, patient quality imaging data. The population of pediatric phantoms developed in this work provides a vital tool to investigate dose reduction techniques in 3D and 4D pediatric CT.

Citation Download Citation

Hannah Norris, Yakun Zhang, Jack Frush, Gregory M. Sturgeon, Anum Minhas M.D., Daniel J. Tward, J. Tilak Ratnanather, M. I. Miller, Donald Frush M.D., Ehsan Samei, and W. Paul Segars "The development of a population of 4D pediatric XCAT phantoms for CT imaging research and optimization", Proc. SPIE 9033, Medical Imaging 2014: Physics of Medical Imaging, 90331V (19 March 2014); https://doi.org/10.1117/12.2043777

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available