Literature DB >> 27257875

Dynamic intensity-weighted region of interest imaging for conebeam CT.

Erik Pearson1,2, Xiaochuan Pan1,3, Charles Pelizzari1.   

Abstract

BACKGROUND: Patient dose from image guidance in radiotherapy is small compared to the treatment dose. However, the imaging beam is untargeted and deposits dose equally in tumor and healthy tissues. It is desirable to minimize imaging dose while maintaining efficacy.
OBJECTIVE: Image guidance typically does not require full image quality throughout the patient. Dynamic filtration of the kV beam allows local control of CT image noise for high quality around the target volume and lower quality elsewhere, with substantial dose sparing and reduced scatter fluence on the detector.
METHODS: The dynamic Intensity-Weighted Region of Interest (dIWROI) technique spatially varies beam intensity during acquisition with copper filter collimation. Fluence is reduced by 95% under the filters with the aperture conformed dynamically to the ROI during cone-beam CT scanning. Preprocessing to account for physical effects of the collimator before reconstruction is described.
RESULTS: Reconstructions show image quality comparable to a standard scan in the ROI, with higher noise and streak artifacts in the outer region but still adequate quality for patient localization. Monte Carlo modeling shows dose reduction by 10-15% in the ROI due to reduced scatter, and up to 75% outside.
CONCLUSIONS: The presented technique offers a method to reduce imaging dose by accepting increased image noise outside the ROI, while maintaining full image quality inside the ROI.

Entities:  

Keywords:  IGRT; Region of interest imaging; cone-beam CT; image guidance

Mesh:

Year:  2016        PMID: 27257875      PMCID: PMC5498113          DOI: 10.3233/XST-160550

Source DB:  PubMed          Journal:  J Xray Sci Technol        ISSN: 0895-3996            Impact factor:   1.535


  18 in total

1.  Ordered subset reconstruction for x-ray CT.

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2.  Dose reduction in CT by on-line tube current control: principles and validation on phantoms and cadavers.

Authors:  W A Kalender; H Wolf; C Suess; M Gies; H Greess; W A Bautz
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3.  Fluence field optimization for noise and dose objectives in CT.

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4.  Image reconstruction in peripheral and central regions-of-interest and data redundancy.

Authors:  Xiaochuan Pan; Yu Zou; Dan Xia
Journal:  Med Phys       Date:  2005-03       Impact factor: 4.071

5.  Penalized-likelihood sinogram smoothing for low-dose CT.

Authors:  Patrick J La Rivière
Journal:  Med Phys       Date:  2005-06       Impact factor: 4.071

6.  Noise Reduction for Low-Dose Single-Slice Helical CT Sinograms.

Authors:  Jing Wang; Tianfang Li; Hongbing Lu; Zhengrong Liang
Journal:  IEEE Trans Nucl Sci       Date:  2006-06       Impact factor: 1.679

7.  The management of imaging dose during image-guided radiotherapy: report of the AAPM Task Group 75.

Authors:  Martin J Murphy; James Balter; Stephen Balter; Jose A BenComo; Indra J Das; Steve B Jiang; C M Ma; Gustavo H Olivera; Raymond F Rodebaugh; Kenneth J Ruchala; Hiroki Shirato; Fang-Fang Yin
Journal:  Med Phys       Date:  2007-10       Impact factor: 4.071

8.  Iterative reconstruction for helical CT: a simulation study.

Authors:  J Nuyts; B De Man; P Dupont; M Defrise; P Suetens; L Mortelmans
Journal:  Phys Med Biol       Date:  1998-04       Impact factor: 3.609

9.  Region of interest (ROI) computed tomography (CT): Comparison with full field of view (FFOV) and truncated CT for a human head phantom.

Authors:  R Chityala; K R Hoffmann; S Rudin; D R Bednarek
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2005

10.  Accurate image reconstruction from few-view and limited-angle data in diffraction tomography.

Authors:  Samuel J LaRoque; Emil Y Sidky; Xiaochuan Pan
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2008-07       Impact factor: 2.129

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