Literature DB >> 16237228

An innovative phantom for quantitative and qualitative investigation of advanced x-ray imaging technologies.

C B Chiarot1, J H Siewerdsen, T Haycocks, D J Moseley, D A Jaffray.   

Abstract

Development, characterization, and quality assurance of advanced x-ray imaging technologies require phantoms that are quantitative and well suited to such modalities. This note reports on the design, construction, and use of an innovative phantom developed for advanced imaging technologies (e.g., multi-detector CT and the numerous applications of flat-panel detectors in dual-energy imaging, tomosynthesis, and cone-beam CT) in diagnostic and image-guided procedures. The design addresses shortcomings of existing phantoms by incorporating criteria satisfied by no other single phantom: (1) inserts are fully 3D--spherically symmetric rather than cylindrical; (2) modules are quantitative, presenting objects of known size and contrast for quality assurance and image quality investigation; (3) features are incorporated in ideal and semi-realistic (anthropomorphic) contexts; and (4) the phantom allows devices to be inserted and manipulated in an accessible module (right lung). The phantom consists of five primary modules: (1) head, featuring contrast-detail spheres approximate to brain lesions; (2) left lung, featuring contrast-detail spheres approximate to lung modules; (3) right lung, an accessible hull in which devices may be placed and manipulated; (4) liver, featuring contrast-detail spheres approximate to metastases; and (5) abdomen/pelvis, featuring simulated kidneys, colon, rectum, bladder, and prostate. The phantom represents a two-fold evolution in design philosophy--from 2D (cylindrically symmetric) to fully 3D, and from exclusively qualitative or quantitative to a design accommodating quantitative study within an anatomical context. It has proven a valuable tool in investigations throughout our institution, including low-dose CT, dual-energy radiography, and cone-beam CT for image-guided radiation therapy and surgery.

Entities:  

Mesh:

Year:  2005        PMID: 16237228     DOI: 10.1088/0031-9155/50/21/N01

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


  9 in total

1.  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

2.  Validation of phalanx bone three-dimensional surface segmentation from computed tomography images using laser scanning.

Authors:  Nicole A DeVries; Esther E Gassman; Nicole A Kallemeyn; Kiran H Shivanna; Vincent A Magnotta; Nicole M Grosland
Journal:  Skeletal Radiol       Date:  2007-10-25       Impact factor: 2.199

3.  Characterization of a novel anthropomorphic plastinated lung phantom.

Authors:  Sungwon Yoon; Robert W Henry; Donna M Bouley; N Robert Bennett; Rebecca Fahrig
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

4.  Investigation of lung nodule detectability in low-dose 320-slice computed tomography.

Authors:  J D Silverman; N S Paul; J H Siewerdsen
Journal:  Med Phys       Date:  2009-05       Impact factor: 4.071

5.  Automatic image-to-world registration based on x-ray projections in cone-beam CT-guided interventions.

Authors:  N M Hamming; M J Daly; J C Irish; J H Siewerdsen
Journal:  Med Phys       Date:  2009-05       Impact factor: 4.071

6.  Geometric calibration of a mobile C-arm for intraoperative cone-beam CT.

Authors:  M J Daly; J H Siewerdsen; Y B Cho; D A Jaffray; J C Irish
Journal:  Med Phys       Date:  2008-05       Impact factor: 4.071

7.  Evaluation of sparse-view reconstruction from flat-panel-detector cone-beam CT.

Authors:  Junguo Bian; Jeffrey H Siewerdsen; Xiao Han; Emil Y Sidky; Jerry L Prince; Charles A Pelizzari; Xiaochuan Pan
Journal:  Phys Med Biol       Date:  2010-10-20       Impact factor: 3.609

8.  Robust methods for automatic image-to-world registration in cone-beam CT interventional guidance.

Authors:  H Dang; Y Otake; S Schafer; J W Stayman; G Kleinszig; J H Siewerdsen
Journal:  Med Phys       Date:  2012-10       Impact factor: 4.506

9.  Accuracy of automatic couch corrections with on-line volumetric imaging.

Authors:  Winnie Li; Douglas J Moseley; Tony Manfredi; David A Jaffray
Journal:  J Appl Clin Med Phys       Date:  2009-10-07       Impact factor: 2.102

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.