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Stochastic noise characteristics in matrix inversion tomosynthesis (MITS).

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

¹Department of Radiology, Duke Advanced Imaging Laboratories, Duke University, DUMC 3295, Durham, North Carolina 27710, USA. devon.godfrey@duke.edu

Medical Physics

|June 24, 2009

Summary

Matrix inversion tomosynthesis (MITS) noise characteristics were analyzed. Optimal parameters for MITS imaging were confirmed, though some noise properties were suboptimal.

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Area of Science:

Medical Imaging
Tomosynthesis
Image Reconstruction

Background:

Matrix inversion tomosynthesis (MITS) deterministically separates in-plane detail from tomographic blur.
Previous work identified optimal MITS parameters (ANG=20°, N=71, NP=69) for chest imaging based on impulse response.

Purpose of the Study:

To examine the effect of scan angle (ANG), number of projections (N), and number of reconstructed planes (NP) on MITS exposure-normalized noise power spectra (ENNPS).
To confirm if previously determined optimal MITS parameters yield acceptable stochastic properties.

Main Methods:

Generated ENNPS curves for projection images, conventional tomosynthesis, and MITS planes using a prototype system.
Acquired 10 tomosynthesis data sets per technique for ensemble averaging and noise analysis.
Normalized NPS to entrance exposure for ENNPS estimation.

Main Results:

Mid- and high-frequency noise in MITS planes is comparable to conventional tomosynthesis.
Low-frequency noise is amplified in anterior/posterior MITS planes.
Maximizing N and NP minimizes noise, while increasing ANG amplifies it.

Conclusions:

The previously determined optimal MITS imaging strategy shows somewhat suboptimal stochastic noise characteristics.
Despite noise considerations, the chosen parameters likely remain the best technique for MITS chest imaging.