Literature DB >> 16878569

Optimization of the matrix inversion tomosynthesis (MITS) impulse response and modulation transfer function characteristics for chest imaging.

Devon J Godfrey1, H P McAdams, James T Dobbins.   

Abstract

Matrix inversion tomosynthesis (MITS) uses linear systems theory, along with a priori knowledge of the imaging geometry, to deterministically distinguish between true structure and overlying tomographic blur in a set of conventional tomosynthesis planes. In this paper we examine the effect of total scan angle (ANG), number of input projections (N), and plane separation/number of reconstructed planes (NP) on the MITS impulse response (IR) and modulation transfer function (MTF), with the purpose of optimizing MITS imaging of the chest. MITS IR and MTF data were generated by simulating the imaging of a very thin wire, using various combinations of ANG, N, and NP. Actual tomosynthesis data of an anthropomorphic chest phantom were acquired with a prototype experimental system, using the same imaging parameter combinations as those in the simulations. Thoracic projection data from two human subjects were collected for corroboration of the system response analysis in vivo. Results suggest that ANG=20 degrees, N=71, NP=69 is the optimal combination for MITS chest imaging given the inherent constraints of our prototype system. MITS chest data from human subjects demonstrates that the selected imaging strategy can effectively produce high-quality MITS thoracic images in vivo.

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Year:  2006        PMID: 16878569     DOI: 10.1118/1.2170398

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


  20 in total

1.  A novel solid-angle tomosynthesis (SAT) scanning scheme.

Authors:  Jin Zhang; Cedric Yu
Journal:  Med Phys       Date:  2010-08       Impact factor: 4.071

2.  Analysis of the impact of digital tomosynthesis on the radiological investigation of patients with suspected pulmonary lesions on chest radiography.

Authors:  Emilio Quaia; Elisa Baratella; Stefano Cernic; Arianna Lorusso; Federica Casagrande; Vincenzo Cioffi; Maria Assunta Cova
Journal:  Eur Radiol       Date:  2012-04-27       Impact factor: 5.315

3.  Digital tomosynthesis of the chest for lung nodule detection: interim sensitivity results from an ongoing NIH-sponsored trial.

Authors:  T Dobbins James; H Page McAdams; Jae-Woo Song; Christina M Li; Devon J Godfrey; David M DeLong; Sang-Hyun Paik; Santiago Martinez-Jimenez
Journal:  Med Phys       Date:  2008-06       Impact factor: 4.071

4.  Stochastic noise characteristics in matrix inversion tomosynthesis (MITS).

Authors:  Devon J Godfrey; H P McAdams; James T Third Dobbins
Journal:  Med Phys       Date:  2009-05       Impact factor: 4.071

Review 5.  Anniversary paper. Development of x-ray computed tomography: the role of medical physics and AAPM from the 1970s to present.

Authors:  Xiaochuan Pan; Jeffrey Siewerdsen; Patrick J La Riviere; Willi A Kalender
Journal:  Med Phys       Date:  2008-08       Impact factor: 4.071

Review 6.  Tomosynthesis imaging: at a translational crossroads.

Authors:  James T Dobbins
Journal:  Med Phys       Date:  2009-06       Impact factor: 4.071

7.  Optimized image acquisition for breast tomosynthesis in projection and reconstruction space.

Authors:  Amarpreet S Chawla; Joseph Y Lo; Jay A Baker; Ehsan Samei
Journal:  Med Phys       Date:  2009-11       Impact factor: 4.071

8.  Improved targeting accuracy of lung tumor biopsies with scanning-beam digital x-ray tomosynthesis image guidance.

Authors:  Geoff Nelson; Meng Wu; Cameron Hinkel; Ganesh Krishna; Tobias Funk; Jarrett Rosenberg; Rebecca Fahrig
Journal:  Med Phys       Date:  2016-12       Impact factor: 4.071

9.  The effect of averaging adjacent planes for artifact reduction in matrix inversion tomosynthesis.

Authors:  Devon J Godfrey; H Page McAdams; James T Dobbins
Journal:  Med Phys       Date:  2013-02       Impact factor: 4.071

10.  Chest tomosynthesis: technical principles and clinical update.

Authors:  James T Dobbins; H Page McAdams
Journal:  Eur J Radiol       Date:  2009-07-18       Impact factor: 3.528

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