Literature DB >> 26057776

Determining appropriate imaging parameters for kilovoltage intrafraction monitoring: an experimental phantom study.

D Wallace1, J A Ng, P J Keall, R T O'Brien, P R Poulsen, P Juneja, J T Booth.   

Abstract

Kilovoltage intrafraction monitoring (KIM) utilises the kV imager during treatment for real-time tracking of prostate fiducial markers. However, its effectiveness relies on sufficient image quality for the fiducial tracking task. To guide the performance characterisation of KIM under different clinically relevant conditions, the effect of different kV parameters and patient size on image quality, and quantification of MV scatter from the patient to the kV detector panel were investigated in this study. Image quality was determined for a range of kV acquisition frame rates, kV exposure, MV dose rates and patient sizes. Two methods were used to determine image quality; the ratio of kV signal through the patient to the MV scatter from the patient incident on the kilovoltage detector, and the signal-to-noise ratio (SNR). The effect of patient size and frame rate on MV scatter was evaluated in a homogeneous CIRS pelvis phantom and marker segmentation was determined utilising the Rando phantom with embedded markers. MV scatter incident on the detector was shown to be dependent on patient thickness and frame rate. The segmentation code was shown to be successful for all frame rates above 3 Hz for the Rando phantom corresponding to a kV to MV ratio of 0.16 and an SNR of 1.67. For a maximum patient dimension less than 36.4 cm the conservative kV parameters of 5 Hz at 1 mAs can be used to reduce dose while retaining image quality, where the current baseline kV parameters of 10 Hz at 1 mAs is shown to be adequate for marker segmentation up to a patient dimension of 40 cm. In conclusion, the MV scatter component of image quality noise for KIM has been quantified. For most prostate patients, use of KIM with 10 Hz imaging at 1 mAs is adequate however image quality can be maintained and imaging dose reduced by altering existing acquisition parameters.

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Year:  2015        PMID: 26057776     DOI: 10.1088/0031-9155/60/12/4835

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  4 in total

1.  Evaluating the image quality of cone beam CT acquired during rotational delivery.

Authors:  S A Yoganathan; K J Maria Das; K Maria Midunvaleja; D Gowtham Raj; Arpita Agarwal; J Velmurugan; Shaleen Kumar
Journal:  Br J Radiol       Date:  2015-07-30       Impact factor: 3.039

2.  3D-printed breast phantom for multi-purpose and multi-modality imaging.

Authors:  Yaoyao He; Yulin Liu; Brandon A Dyer; John M Boone; Shanshan Liu; Tiao Chen; Fenglian Zheng; Ye Zhu; Yong Sun; Yi Rong; Jianfeng Qiu
Journal:  Quant Imaging Med Surg       Date:  2019-01

3.  Quantification and correction of the scattered X-rays from a megavoltage photon beam to a linac-mounted kilovoltage imaging subsystem.

Authors:  Hiraku Iramina; Mitsuhiro Nakamura; Yuki Miyabe; Nobutaka Mukumoto; Tomohiro Ono; Hideaki Hirashima; Takashi Mizowaki
Journal:  BJR Open       Date:  2020-12-11

4.  Effect of patient size on image quality in radiotherapy kV planar verification imaging: a phantom study.

Authors:  Sara Chan; Eileen Giles; Lyndal Newmarch; Michala Short
Journal:  J Med Radiat Sci       Date:  2019-10-16
  4 in total

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