Literature DB >> 15737902

A hybrid approach to reducing computed tomography metal artifacts in intracavitary brachytherapy.

Dan Xia1, John C Roeske, Lifeng Yu, Charles A Pelizzari, Arno J Mundt, Xiaochuan Pan.   

Abstract

PURPOSE: To develop a hybrid approach to reduce computed tomography (CT) metal artifacts caused by the Fletcher-Suit applicator. METHODS AND MATERIALS: Using the acquired raw projection data, the hybrid algorithm determines the separate contributions from the metal and non-metal objects. Next, reconstructions of metal and non-metal images are separately obtained from their estimated projections. A final image is formed by appropriately combining the individual images. Phantom and patient data are used to evaluate the performance of this method.
RESULTS: CT images reconstructed by use of the standard filtered-backprojection (FBP) algorithm contain significant artifacts even for small metal objects. However, images reconstructed using the hybrid algorithm contain virtually no artifacts. For metal objects with complex structures, the hybrid algorithm can also yield images containing fewer severe streak artifacts than those reconstructed using the FBP algorithm alone.
CONCLUSIONS: These studies demonstrate that the hybrid approach can effectively reduce CT metal artifacts caused by the Fletcher-Suit applicator.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 15737902     DOI: 10.1016/j.brachy.2004.11.001

Source DB:  PubMed          Journal:  Brachytherapy        ISSN: 1538-4721            Impact factor:   2.362


  11 in total

1.  Preliminary study of correction of original metal artifacts due to 1-125 seeds in postimplant dosimetry for prostate permanent implant brachytherapy.

Authors:  Yutaka Takahashi; Shinichiro Mori; Takuyo Kozuka; Kotaro Gomi; Takayuki Nose; Takatoshi Tahara; Masahiko Oguchi; Takashi Yamashita
Journal:  Radiat Med       Date:  2006-02

2.  Metal artifact reduction using virtual monochromatic images for patients with pedicle screws implants on CT.

Authors:  Yue Dong; Ai Jun Shi; Jian Lin Wu; Ru Xin Wang; Li Fei Sun; Ai Lian Liu; Yi Jun Liu
Journal:  Eur Spine J       Date:  2015-06-13       Impact factor: 3.134

3.  Spectral CT using multiple balanced K-edge filters.

Authors:  Yothin Rakvongthai; William Worstell; Georges El Fakhri; Junguo Bian; Auranuch Lorsakul; Jinsong Ouyang
Journal:  IEEE Trans Med Imaging       Date:  2014-09-19       Impact factor: 10.048

4.  Benchmark measurements and simulations of dose perturbations due to metallic spheres in proton beams.

Authors:  Wayne D Newhauser; Laura Rechner; Dragan Mirkovic; Pablo Yepes; Nicholas C Koch; Uwe Titt; Jonas D Fontenot; Rui Zhang
Journal:  Radiat Meas       Date:  2013-11-01       Impact factor: 1.898

5.  Reduction of Angularly-Varying-Data Truncation in C-Arm CBCT Imaging.

Authors:  Dan Xia; Yu-Bing Chang; Joe Manak; Adnan H Siddiqui; Zheng Zhang; Buxin Chen; Emil Y Sidky; Xiaochuan Pan
Journal:  Sens Imaging       Date:  2018-03-23

6.  Sinogram preprocessing and binary reconstruction for determination of the shape and location of metal objects in computed tomography (CT).

Authors:  Bowen Meng; Jing Wang; Lei Xing
Journal:  Med Phys       Date:  2010-11       Impact factor: 4.071

7.  Optimization-based image reconstruction with artifact reduction in C-arm CBCT.

Authors:  Dan Xia; David A Langan; Stephen B Solomon; Zheng Zhang; Buxin Chen; Hao Lai; Emil Y Sidky; Xiaochuan Pan
Journal:  Phys Med Biol       Date:  2016-10-03       Impact factor: 3.609

8.  Metal artifact reduction from reformatted projections for hip prostheses in multislice helical computed tomography: techniques and initial clinical results.

Authors:  Lifeng Yu; Hua Li; Jan Mueller; James M Kofler; Xin Liu; Andrew N Primak; Joel G Fletcher; Luis S Guimaraes; Thanila Macedo; Cynthia H McCollough
Journal:  Invest Radiol       Date:  2009-11       Impact factor: 6.016

9.  A metal artifact reduction method for a dental CT based on adaptive local thresholding and prior image generation.

Authors:  Mohamed A A Hegazy; Min Hyoung Cho; Soo Yeol Lee
Journal:  Biomed Eng Online       Date:  2016-11-04       Impact factor: 2.819

10.  Metal artifact reduction on cervical CT images by deep residual learning.

Authors:  Xia Huang; Jian Wang; Fan Tang; Tao Zhong; Yu Zhang
Journal:  Biomed Eng Online       Date:  2018-11-27       Impact factor: 2.819

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.