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

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...

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Veröffentlicht in:Medical physics (Lancaster) Jg. 33; H. 3; S. 655 - 667
Hauptverfasser: Godfrey, Devon J., McAdams, H. P., Dobbins, James T.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States American Association of Physicists in Medicine 01.03.2006
Schlagworte:
Algorithms
CHEST
diagnostic radiography
Digital tomosynthesis mammography
GEOMETRY
Humans
Image detection systems
IMAGE PROCESSING
Image quality
image reconstruction
Image sensors
impulse response
IN VIVO
lung
LUNGS
matrix inversion
Matrix theory
medical image processing
Medical image quality
Medical image reconstruction
Medical imaging
Modulation transfer functions
MTF
Numerical optimization
optical transfer function
optimisation
OPTIMIZATION
PHANTOMS
Phantoms, Imaging
pulmonary nodule
Radiographic Image Enhancement - methods
Radiographic Image Interpretation, Computer-Assisted - methods
Radiography
Radiography, Thoracic - methods
RADIOLOGY AND NUCLEAR MEDICINE
Reproducibility of Results
Sensitivity and Specificity
SIMULATION
Solitary Pulmonary Nodule - diagnosis
Solitary Pulmonary Nodule - diagnostic imaging
Thorax
three‐dimensional imaging
Tomography, X-Ray - methods
tomosynthesis
TRANSFER FUNCTIONS
transient response
chest
tomosynthesis
three-dimensional imaging
pulmonary nodule
impulse response
radiography
MTF
ISSN:0094-2405, 2473-4209
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Zusammenfassung: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 ° , 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.
Bibliographie:ObjectType-Article-1
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ISSN:0094-2405
2473-4209
DOI:10.1118/1.2170398