Preliminary investigation of CBCT imaging optimization for Image-guided radiation therapy

Junguo Bian, Gregory C. Sharp, Yang Kyun Park, Thomas Bortfeld, Georges El Fakhri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Flat-panel-based cone-beam CT (CBCT) has become an important tool for Image-guided radiation therapy (IGRT). However, repeated use of CBCT imaging can result in a high accumulated radiation dose, which poses a health concern to patients. Current CBCT for IGRT also suffers from poor image quality. Thus it is important to reduce patient dose, and improve image quality of current CBCT used in IGRT. In recent years, a great deal of effort has been devoted to the development of optimization-based (i.e. iterative) image reconstruction algorithms for the purpose of reducing CBCT imaging dose or improving CBCT image quality. It has been shown that iterative reconstruction techniques may yield images of improved quality over standard analytic-based algorithms from both low-dose diagnostic CBCT data and sparse-view flat-panel-based CBCT data. However, CBCT image quality is related with both the exposure level per view and number of views at which projections are collected. It is important to explore the trade-off between the view number and exposure level for optimization-based algorithms for the purpose of both dose reduction and image quality improvement purposes. In this work, we performed a preliminary study of optimizing the CBCT imaging quality for IGRT with optimization-based reconstruction algorithms. The preliminary results show that the image quality of ASD-POCS is relatively stable across a wide range of views and exposure levels and seems to indicate that view sampling around one view per degree is more optimal than a higher sampling density with the same total exposure.

Original languageEnglish (US)
Title of host publication2014 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479960972
DOIs
StatePublished - Mar 10 2016
EventIEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014 - Seattle, United States
Duration: Nov 8 2014Nov 15 2014

Other

OtherIEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014
CountryUnited States
CitySeattle
Period11/8/1411/15/14

Fingerprint

Image-Guided Radiotherapy
Cone-Beam Computed Tomography
radiation therapy
cones
optimization
dosage
sampling
Computer-Assisted Image Processing
Quality Improvement
image reconstruction
health
Radiation

ASJC Scopus subject areas

  • Nuclear and High Energy Physics
  • Radiology Nuclear Medicine and imaging

Cite this

Bian, J., Sharp, G. C., Park, Y. K., Bortfeld, T., & El Fakhri, G. (2016). Preliminary investigation of CBCT imaging optimization for Image-guided radiation therapy. In 2014 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014 [7430871] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NSSMIC.2014.7430871

Preliminary investigation of CBCT imaging optimization for Image-guided radiation therapy. / Bian, Junguo; Sharp, Gregory C.; Park, Yang Kyun; Bortfeld, Thomas; El Fakhri, Georges.

2014 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014. Institute of Electrical and Electronics Engineers Inc., 2016. 7430871.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Bian, J, Sharp, GC, Park, YK, Bortfeld, T & El Fakhri, G 2016, Preliminary investigation of CBCT imaging optimization for Image-guided radiation therapy. in 2014 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014., 7430871, Institute of Electrical and Electronics Engineers Inc., IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014, Seattle, United States, 11/8/14. https://doi.org/10.1109/NSSMIC.2014.7430871
Bian J, Sharp GC, Park YK, Bortfeld T, El Fakhri G. Preliminary investigation of CBCT imaging optimization for Image-guided radiation therapy. In 2014 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014. Institute of Electrical and Electronics Engineers Inc. 2016. 7430871 https://doi.org/10.1109/NSSMIC.2014.7430871
Bian, Junguo ; Sharp, Gregory C. ; Park, Yang Kyun ; Bortfeld, Thomas ; El Fakhri, Georges. / Preliminary investigation of CBCT imaging optimization for Image-guided radiation therapy. 2014 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014. Institute of Electrical and Electronics Engineers Inc., 2016.
@inproceedings{678c7befb2ac43b885d274edb1f79c2e,
title = "Preliminary investigation of CBCT imaging optimization for Image-guided radiation therapy",
abstract = "Flat-panel-based cone-beam CT (CBCT) has become an important tool for Image-guided radiation therapy (IGRT). However, repeated use of CBCT imaging can result in a high accumulated radiation dose, which poses a health concern to patients. Current CBCT for IGRT also suffers from poor image quality. Thus it is important to reduce patient dose, and improve image quality of current CBCT used in IGRT. In recent years, a great deal of effort has been devoted to the development of optimization-based (i.e. iterative) image reconstruction algorithms for the purpose of reducing CBCT imaging dose or improving CBCT image quality. It has been shown that iterative reconstruction techniques may yield images of improved quality over standard analytic-based algorithms from both low-dose diagnostic CBCT data and sparse-view flat-panel-based CBCT data. However, CBCT image quality is related with both the exposure level per view and number of views at which projections are collected. It is important to explore the trade-off between the view number and exposure level for optimization-based algorithms for the purpose of both dose reduction and image quality improvement purposes. In this work, we performed a preliminary study of optimizing the CBCT imaging quality for IGRT with optimization-based reconstruction algorithms. The preliminary results show that the image quality of ASD-POCS is relatively stable across a wide range of views and exposure levels and seems to indicate that view sampling around one view per degree is more optimal than a higher sampling density with the same total exposure.",
author = "Junguo Bian and Sharp, {Gregory C.} and Park, {Yang Kyun} and Thomas Bortfeld and {El Fakhri}, Georges",
year = "2016",
month = "3",
day = "10",
doi = "10.1109/NSSMIC.2014.7430871",
language = "English (US)",
booktitle = "2014 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Preliminary investigation of CBCT imaging optimization for Image-guided radiation therapy

AU - Bian, Junguo

AU - Sharp, Gregory C.

AU - Park, Yang Kyun

AU - Bortfeld, Thomas

AU - El Fakhri, Georges

PY - 2016/3/10

Y1 - 2016/3/10

N2 - Flat-panel-based cone-beam CT (CBCT) has become an important tool for Image-guided radiation therapy (IGRT). However, repeated use of CBCT imaging can result in a high accumulated radiation dose, which poses a health concern to patients. Current CBCT for IGRT also suffers from poor image quality. Thus it is important to reduce patient dose, and improve image quality of current CBCT used in IGRT. In recent years, a great deal of effort has been devoted to the development of optimization-based (i.e. iterative) image reconstruction algorithms for the purpose of reducing CBCT imaging dose or improving CBCT image quality. It has been shown that iterative reconstruction techniques may yield images of improved quality over standard analytic-based algorithms from both low-dose diagnostic CBCT data and sparse-view flat-panel-based CBCT data. However, CBCT image quality is related with both the exposure level per view and number of views at which projections are collected. It is important to explore the trade-off between the view number and exposure level for optimization-based algorithms for the purpose of both dose reduction and image quality improvement purposes. In this work, we performed a preliminary study of optimizing the CBCT imaging quality for IGRT with optimization-based reconstruction algorithms. The preliminary results show that the image quality of ASD-POCS is relatively stable across a wide range of views and exposure levels and seems to indicate that view sampling around one view per degree is more optimal than a higher sampling density with the same total exposure.

AB - Flat-panel-based cone-beam CT (CBCT) has become an important tool for Image-guided radiation therapy (IGRT). However, repeated use of CBCT imaging can result in a high accumulated radiation dose, which poses a health concern to patients. Current CBCT for IGRT also suffers from poor image quality. Thus it is important to reduce patient dose, and improve image quality of current CBCT used in IGRT. In recent years, a great deal of effort has been devoted to the development of optimization-based (i.e. iterative) image reconstruction algorithms for the purpose of reducing CBCT imaging dose or improving CBCT image quality. It has been shown that iterative reconstruction techniques may yield images of improved quality over standard analytic-based algorithms from both low-dose diagnostic CBCT data and sparse-view flat-panel-based CBCT data. However, CBCT image quality is related with both the exposure level per view and number of views at which projections are collected. It is important to explore the trade-off between the view number and exposure level for optimization-based algorithms for the purpose of both dose reduction and image quality improvement purposes. In this work, we performed a preliminary study of optimizing the CBCT imaging quality for IGRT with optimization-based reconstruction algorithms. The preliminary results show that the image quality of ASD-POCS is relatively stable across a wide range of views and exposure levels and seems to indicate that view sampling around one view per degree is more optimal than a higher sampling density with the same total exposure.

UR - http://www.scopus.com/inward/record.url?scp=84965076830&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84965076830&partnerID=8YFLogxK

U2 - 10.1109/NSSMIC.2014.7430871

DO - 10.1109/NSSMIC.2014.7430871

M3 - Conference contribution

BT - 2014 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014

PB - Institute of Electrical and Electronics Engineers Inc.

ER -