Literature DB >> 20228334

Optimizing parameters for flat-panel detector digital tomosynthesis.

Haruhiko Machida1, Toshiyuki Yuhara, Takako Mori, Eiko Ueno, Yoshio Moribe, John M Sabol.   

Abstract

Digital tomosynthesis is a novel technique that allows easy and swift volume data acquisition in selected regions of the body. However, many radiologists and technologists are unfamiliar with this technique and the potential artifacts related to data acquisition. Digital tomosynthesis requires a single linear sweep of the x-ray tube assembly with corresponding tomographic reconstruction of large-area flat-panel detector radiographic data. Standard acquisition parameters include sweep angle, sweep direction, patient barrier-object distance, number of projections, and total radiation dose. Potential acquisition-related artifacts include blurring-ripple, ghost artifact-distortion, poor spatial resolution, image noise, and metallic artifact. A comprehensive understanding of the relationships between acquisition parameters and potential associated artifacts is critical to optimizing acquisition technique and avoiding misinterpretation of artifacts. Sweep direction should be chosen on the basis of the anatomy of interest and the purpose of the examination so as to reduce the influence of blurring-ripple, ghost artifact-distortion, and metallic artifact. Adjusting the sweep angle, number of projections, and radiation dose will optimize depth resolution, avoid ripple in the sections of interest, and reduce unnecessary radiation exposure without compromising image quality. Thus, it is important that the radiologist and technologist establish appropriate protocols for different examination types to allow optimal utilization of this novel imaging technique.

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Year:  2010        PMID: 20228334     DOI: 10.1148/rg.302095097

Source DB:  PubMed          Journal:  Radiographics        ISSN: 0271-5333            Impact factor:   5.333


  20 in total

Review 1.  Recent advances in medical imaging: anatomical and clinical applications.

Authors:  Bruno Grignon; Laurence Mainard; Matthieu Delion; Claude Hodez; Guillaume Oldrini
Journal:  Surg Radiol Anat       Date:  2012-05-29       Impact factor: 1.246

2.  Stationary intraoral digital tomosynthesis using a carbon nanotube X-ray source array.

Authors:  J Shan; A W Tucker; L R Gaalaas; G Wu; E Platin; A Mol; J Lu; O Zhou
Journal:  Dentomaxillofac Radiol       Date:  2015-06-19       Impact factor: 2.419

3.  Evaluation of a new system for chest tomosynthesis: aspects of image quality of different protocols determined using an anthropomorphic phantom.

Authors:  M Jadidi; A Sundin; P Aspelin; M Båth; S Nyrén
Journal:  Br J Radiol       Date:  2015-06-29       Impact factor: 3.039

4.  [Dose reduction and adequate image quality in digital radiography: a contradiction?].

Authors:  S Pötter-Lang; M Dünkelmeyer; M Uffmann
Journal:  Radiologe       Date:  2012-10       Impact factor: 0.635

5.  Comparison of Reconstruction Algorithms for Decreasing the Exposure Dose During Digital Tomosynthesis for Arthroplasty: a Phantom Study.

Authors:  Tsutomu Gomi; Rina Sakai; Masami Goto; Yusuke Watanabe; Tohoru Takeda; Tokuo Umeda
Journal:  J Digit Imaging       Date:  2016-08       Impact factor: 4.056

6.  Digital tomosynthesis with metal artifact reduction for assessing cementless hip arthroplasty: a diagnostic cohort study of 48 patients.

Authors:  Hao Tang; Dejin Yang; Shengjie Guo; Jing Tang; Jian Liu; Dacheng Wang; Yixin Zhou
Journal:  Skeletal Radiol       Date:  2016-09-02       Impact factor: 2.199

7.  Postoperative follow-up of olecranon fracture by digital tomosynthesis radiography.

Authors:  Haruhiko Machida; Toshiyuki Yuhara; John M Sabol; Mieko Tamura; Yutaka Shimada; Eiko Ueno
Journal:  Jpn J Radiol       Date:  2011-09-17       Impact factor: 2.374

8.  Diagnostic impact of digital tomosynthesis in oncologic patients with suspected pulmonary lesions on chest radiography.

Authors:  Emilio Quaia; Elisa Baratella; Gabriele Poillucci; Antonio Giulio Gennari; Maria Assunta Cova
Journal:  Eur Radiol       Date:  2015-12-01       Impact factor: 5.315

9.  Dependency of image quality on acquisition protocol and image processing in chest tomosynthesis-a visual grading study based on clinical data.

Authors:  Masoud Jadidi; Magnus Båth; Sven Nyrén
Journal:  Br J Radiol       Date:  2018-04-09       Impact factor: 3.039

10.  Detection and measurement of rheumatoid bone and joint lesions of fingers by tomosynthesis: a phantom study for reconstruction filter setting optimization.

Authors:  Yohei Ono; Tamotsu Kamishima; Nobutoshi Yasojima; Kenichi Tamura; Kaori Tsutsumi
Journal:  Radiol Phys Technol       Date:  2015-06-20
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