Literature DB >> 24877821

Improved image quality of cone beam CT scans for radiotherapy image guidance using fiber-interspaced antiscatter grid.

Uros Stankovic1, Marcel van Herk1, Lennert S Ploeger1, Jan-Jakob Sonke1.   

Abstract

PURPOSE: Medical linear accelerator mounted cone beam CT (CBCT) scanner provides useful soft tissue contrast for purposes of image guidance in radiotherapy. The presence of extensive scattered radiation has a negative effect on soft tissue visibility and uniformity of CBCT scans. Antiscatter grids (ASG) are used in the field of diagnostic radiography to mitigate the scatter. They usually do increase the contrast of the scan, but simultaneously increase the noise. Therefore, and considering other scatter mitigation mechanisms present in a CBCT scanner, the applicability of ASGs with aluminum interspacing for a wide range of imaging conditions has been inconclusive in previous studies. In recent years, grids using fiber interspacers have appeared, providing grids with higher scatter rejection while maintaining reasonable transmission of primary radiation. The purpose of this study was to evaluate the impact of one such grid on CBCT image quality.
METHODS: The grid used (Philips Medical Systems) had ratio of 21:1, frequency 36 lp/cm, and nominal selectivity of 11.9. It was mounted on the kV flat panel detector of an Elekta Synergy linear accelerator and tested in a phantom and a clinical study. Due to the flex of the linac and presence of gridline artifacts an angle dependent gain correction algorithm was devised to mitigate resulting artifacts. Scan reconstruction was performed using XVI4.5 augmented with inhouse developed image lag correction and Hounsfield unit calibration. To determine the necessary parameters for Hounsfield unit calibration and software scatter correction parameters, the Catphan 600 (The Phantom Laboratory) phantom was used. Image quality parameters were evaluated using CIRS CBCT Image Quality and Electron Density Phantom (CIRS) in two different geometries: one modeling head and neck and other pelvic region. Phantoms were acquired with and without the grid and reconstructed with and without software correction which was adapted for the different acquisition scenarios. Parameters used in the phantom study were t(cup) for nonuniformity and contrast-to-noise ratio (CNR) for soft tissue visibility. Clinical scans were evaluated in an observer study in which four experienced radiotherapy technologists rated soft tissue visibility and uniformity of scans with and without the grid.
RESULTS: The proposed angle dependent gain correction algorithm suppressed the visible ring artifacts. Grid had a beneficial impact on nonuniformity, contrast to noise ratio, and Hounsfield unit accuracy for both scanning geometries. The nonuniformity reduced by 90% for head sized object and 91% for pelvic-sized object. CNR improved compared to no corrections on average by a factor 2.8 for the head sized object, and 2.2 for the pelvic sized phantom. Grid outperformed software correction alone, but adding additional software correction to the grid was overall the best strategy. In the observer study, a significant improvement was found in both soft tissue visibility and nonuniformity of scans when grid is used.
CONCLUSIONS: The evaluated fiber-interspaced grid improved the image quality of the CBCT system for broad range of imaging conditions. Clinical scans show significant improvement in soft tissue visibility and uniformity without the need to increase the imaging dose.

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Year:  2014        PMID: 24877821     DOI: 10.1118/1.4875978

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  7 in total

1.  Scatter Reduction and Correction for Dual-Source Cone-Beam CT Using Prepatient Grids.

Authors:  Lei Ren; Yingxuan Chen; You Zhang; William Giles; Jianyue Jin; Fang-Fang Yin
Journal:  Technol Cancer Res Treat       Date:  2015-05-24

2.  Learning-based CBCT correction using alternating random forest based on auto-context model.

Authors:  Yang Lei; Xiangyang Tang; Kristin Higgins; Jolinta Lin; Jiwoong Jeong; Tian Liu; Anees Dhabaan; Tonghe Wang; Xue Dong; Robert Press; Walter J Curran; Xiaofeng Yang
Journal:  Med Phys       Date:  2018-12-11       Impact factor: 4.071

3.  Transmission characteristics of a two dimensional antiscatter grid prototype for CBCT.

Authors:  Cem Altunbas; Brian Kavanagh; Timur Alexeev; Moyed Miften
Journal:  Med Phys       Date:  2017-06-16       Impact factor: 4.071

Review 4.  Image-guided radiotherapy and motion management in lung cancer.

Authors:  S S Korreman
Journal:  Br J Radiol       Date:  2015-05-08       Impact factor: 3.039

5.  Evaluation of scatter rejection and correction performance of 2D antiscatter grids in cone beam computed tomography.

Authors:  Yeonok Park; Timur Alexeev; Brian Miller; Moyed Miften; Cem Altunbas
Journal:  Med Phys       Date:  2021-03-04       Impact factor: 4.071

6.  The Mechanism of Computed Tomography-Guided 125I Particle in Treating Lung Cancer.

Authors:  Jianzhong Cheng; Shaozeng Ma; Guanghua Yang; Lisen Wang; Wei Hou
Journal:  Med Sci Monit       Date:  2017-01-17

7.  Cone-Beam CT image contrast and attenuation-map linearity improvement (CALI) for brain stereotactic radiosurgery procedures.

Authors:  SayedMasoud Hashemi; Christopher Huynh; Arjun Sahgal; William Y Song; Håkan Nordström; Markus Eriksson; James G Mainprize; Young Lee; Mark Ruschin
Journal:  J Appl Clin Med Phys       Date:  2018-10-19       Impact factor: 2.102

  7 in total

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