WE‐G‐217BCD‐07: Implementation and Evaluation of Helical On‐Board CBCT and Exact Image Reconstruction

J. Tan, H. li, P. Parikh, E. Izaguirre, H. li, D. Yang

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Purpose: Longitudinal coverage of CBCT, which is 17 cm for head scan and 15.5 cm for body scan, is not enough to cover the entire PTV for over 90% of head/neck and gastrointestinal/genitourinary/gynecologic patients if lymph nodes are involved. Helical CBCT, which was accomplished using external beam LINAC in its research mode, is one promising way to extend the CBCT longitudinal coverage. Aim of this study is to compare Katsevich's exact algorithm with traditional FDK algorithm for helical CBCT image reconstruction. Methods: CBCT projection raw data were acquired on a TrueBeam LINAC machine (Varian Medical Systems) in the research mode in helical trajectories that encompass a 360 degree rotation, 25 cm pitch, 100 kVp, 80 mA, and 25 ms, with a Catphan 600. Reconstruction was done with Katsevich's exact and FDK approximate algorithms. Scatter correction, beam‐hardening correction, and non‐uniform gantry angle correction, are performed on projection data to reduce artifacts and noise. Image qualities (CT number accuracy, uniformity, SNR) were evaluated and compared between the reconstruction algorithms. Results: Images reconstructed by Katsevich's algorithm show better qualities, compared to ones by FDK algorithm and HU numbers have higher uniformity and accuracy. The HU‐density calibration curve closely conforms to the manufacturer recommended values. The level of noise computed as the standard deviation in the phantom uniform region is 28.07 for the Katsevich algorithm, compared to 44.64 for the FDK algorithm. Conclusions: Katsevich's exact reconstruction algorithm provided better image qualities than FDK for helical CBCT scans. This result will very useful for our ongoing investigation of helical CBCT, which would lead to improvement of CBCT longitudinal coverage of PTV and would be essential for future image‐guided adaptive radiation therapy applications. Varian Research Agreement with Washington University in St. Louis.

Original languageEnglish (US)
Pages (from-to)3973-3974
Number of pages2
JournalMedical Physics
Volume39
Issue number6
DOIs
StatePublished - Jan 1 2012

Fingerprint

Computer-Assisted Image Processing
Noise
Head
Research
Artifacts
Calibration
Neck
Radiotherapy
Lymph Nodes

ASJC Scopus subject areas

  • Biophysics
  • Radiology Nuclear Medicine and imaging

Cite this

WE‐G‐217BCD‐07 : Implementation and Evaluation of Helical On‐Board CBCT and Exact Image Reconstruction. / Tan, J.; li, H.; Parikh, P.; Izaguirre, E.; li, H.; Yang, D.

In: Medical Physics, Vol. 39, No. 6, 01.01.2012, p. 3973-3974.

Research output: Contribution to journalArticle

Tan, J. ; li, H. ; Parikh, P. ; Izaguirre, E. ; li, H. ; Yang, D. / WE‐G‐217BCD‐07 : Implementation and Evaluation of Helical On‐Board CBCT and Exact Image Reconstruction. In: Medical Physics. 2012 ; Vol. 39, No. 6. pp. 3973-3974.
@article{87350ddb7c324c4a9e1b649910f87262,
title = "WE‐G‐217BCD‐07: Implementation and Evaluation of Helical On‐Board CBCT and Exact Image Reconstruction",
abstract = "Purpose: Longitudinal coverage of CBCT, which is 17 cm for head scan and 15.5 cm for body scan, is not enough to cover the entire PTV for over 90{\%} of head/neck and gastrointestinal/genitourinary/gynecologic patients if lymph nodes are involved. Helical CBCT, which was accomplished using external beam LINAC in its research mode, is one promising way to extend the CBCT longitudinal coverage. Aim of this study is to compare Katsevich's exact algorithm with traditional FDK algorithm for helical CBCT image reconstruction. Methods: CBCT projection raw data were acquired on a TrueBeam LINAC machine (Varian Medical Systems) in the research mode in helical trajectories that encompass a 360 degree rotation, 25 cm pitch, 100 kVp, 80 mA, and 25 ms, with a Catphan 600. Reconstruction was done with Katsevich's exact and FDK approximate algorithms. Scatter correction, beam‐hardening correction, and non‐uniform gantry angle correction, are performed on projection data to reduce artifacts and noise. Image qualities (CT number accuracy, uniformity, SNR) were evaluated and compared between the reconstruction algorithms. Results: Images reconstructed by Katsevich's algorithm show better qualities, compared to ones by FDK algorithm and HU numbers have higher uniformity and accuracy. The HU‐density calibration curve closely conforms to the manufacturer recommended values. The level of noise computed as the standard deviation in the phantom uniform region is 28.07 for the Katsevich algorithm, compared to 44.64 for the FDK algorithm. Conclusions: Katsevich's exact reconstruction algorithm provided better image qualities than FDK for helical CBCT scans. This result will very useful for our ongoing investigation of helical CBCT, which would lead to improvement of CBCT longitudinal coverage of PTV and would be essential for future image‐guided adaptive radiation therapy applications. Varian Research Agreement with Washington University in St. Louis.",
author = "J. Tan and H. li and P. Parikh and E. Izaguirre and H. li and D. Yang",
year = "2012",
month = "1",
day = "1",
doi = "10.1118/1.4736215",
language = "English (US)",
volume = "39",
pages = "3973--3974",
journal = "Medical Physics",
issn = "0094-2405",
publisher = "AAPM - American Association of Physicists in Medicine",
number = "6",

}

TY - JOUR

T1 - WE‐G‐217BCD‐07

T2 - Implementation and Evaluation of Helical On‐Board CBCT and Exact Image Reconstruction

AU - Tan, J.

AU - li, H.

AU - Parikh, P.

AU - Izaguirre, E.

AU - li, H.

AU - Yang, D.

PY - 2012/1/1

Y1 - 2012/1/1

N2 - Purpose: Longitudinal coverage of CBCT, which is 17 cm for head scan and 15.5 cm for body scan, is not enough to cover the entire PTV for over 90% of head/neck and gastrointestinal/genitourinary/gynecologic patients if lymph nodes are involved. Helical CBCT, which was accomplished using external beam LINAC in its research mode, is one promising way to extend the CBCT longitudinal coverage. Aim of this study is to compare Katsevich's exact algorithm with traditional FDK algorithm for helical CBCT image reconstruction. Methods: CBCT projection raw data were acquired on a TrueBeam LINAC machine (Varian Medical Systems) in the research mode in helical trajectories that encompass a 360 degree rotation, 25 cm pitch, 100 kVp, 80 mA, and 25 ms, with a Catphan 600. Reconstruction was done with Katsevich's exact and FDK approximate algorithms. Scatter correction, beam‐hardening correction, and non‐uniform gantry angle correction, are performed on projection data to reduce artifacts and noise. Image qualities (CT number accuracy, uniformity, SNR) were evaluated and compared between the reconstruction algorithms. Results: Images reconstructed by Katsevich's algorithm show better qualities, compared to ones by FDK algorithm and HU numbers have higher uniformity and accuracy. The HU‐density calibration curve closely conforms to the manufacturer recommended values. The level of noise computed as the standard deviation in the phantom uniform region is 28.07 for the Katsevich algorithm, compared to 44.64 for the FDK algorithm. Conclusions: Katsevich's exact reconstruction algorithm provided better image qualities than FDK for helical CBCT scans. This result will very useful for our ongoing investigation of helical CBCT, which would lead to improvement of CBCT longitudinal coverage of PTV and would be essential for future image‐guided adaptive radiation therapy applications. Varian Research Agreement with Washington University in St. Louis.

AB - Purpose: Longitudinal coverage of CBCT, which is 17 cm for head scan and 15.5 cm for body scan, is not enough to cover the entire PTV for over 90% of head/neck and gastrointestinal/genitourinary/gynecologic patients if lymph nodes are involved. Helical CBCT, which was accomplished using external beam LINAC in its research mode, is one promising way to extend the CBCT longitudinal coverage. Aim of this study is to compare Katsevich's exact algorithm with traditional FDK algorithm for helical CBCT image reconstruction. Methods: CBCT projection raw data were acquired on a TrueBeam LINAC machine (Varian Medical Systems) in the research mode in helical trajectories that encompass a 360 degree rotation, 25 cm pitch, 100 kVp, 80 mA, and 25 ms, with a Catphan 600. Reconstruction was done with Katsevich's exact and FDK approximate algorithms. Scatter correction, beam‐hardening correction, and non‐uniform gantry angle correction, are performed on projection data to reduce artifacts and noise. Image qualities (CT number accuracy, uniformity, SNR) were evaluated and compared between the reconstruction algorithms. Results: Images reconstructed by Katsevich's algorithm show better qualities, compared to ones by FDK algorithm and HU numbers have higher uniformity and accuracy. The HU‐density calibration curve closely conforms to the manufacturer recommended values. The level of noise computed as the standard deviation in the phantom uniform region is 28.07 for the Katsevich algorithm, compared to 44.64 for the FDK algorithm. Conclusions: Katsevich's exact reconstruction algorithm provided better image qualities than FDK for helical CBCT scans. This result will very useful for our ongoing investigation of helical CBCT, which would lead to improvement of CBCT longitudinal coverage of PTV and would be essential for future image‐guided adaptive radiation therapy applications. Varian Research Agreement with Washington University in St. Louis.

UR - http://www.scopus.com/inward/record.url?scp=84881398682&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84881398682&partnerID=8YFLogxK

U2 - 10.1118/1.4736215

DO - 10.1118/1.4736215

M3 - Article

C2 - 28519621

AN - SCOPUS:84881398682

VL - 39

SP - 3973

EP - 3974

JO - Medical Physics

JF - Medical Physics

SN - 0094-2405

IS - 6

ER -