Experimental and theoretical spectral optimization for digital mammography

The detection characteristics of digital x-ray and film-screen mammography systems are different and thus current film-screen techniques are not ideal for digital mammography. Therefore optimum technical parameters required for digital mammography are likely to be different compared with film-screen mammography. The goal of this study is to evaluate the optimum technical parameters for full-field digital mammography by experimental and computer simulation methods. A General Electric Full Field Digital Mammography (FFDM) prototype unit using Cesium Iodide (CsI) on an amorphous Silicon photodiode array was used for the experimental measurements. Using breast equivalent phantoms, images were acquired for a set of x-ray target-filters for a range of peak kilovoltage, varying breast composition and thickness, with and without an anti-scatter grid. The signal-to-noise ratio (SNR) and figure-of-merit (FOM) were determined for simulated calcification and mass targets, independently by the two methods. The results for noise, contrast, SNR and FOM were compared and agree within 5% and 6% respectively. Combined results are presented for the case of 50% glandular - 50% adipose tissue breast composition using the grid and for the calcification target. Based on the FOM approach, preliminary results suggest that a Rhodium target-filter combination will be beneficial for higher breast thickness and for denser breasts.

[1]  R Fahrig,et al.  Optimization of spectral shape in digital mammography: dependence on anode material, breast thickness, and lesion type. , 1994, Medical physics.

[2]  M. Rabbani,et al.  Detective quantum efficiency of imaging systems with amplifying and scattering mechanisms. , 1987, Journal of the Optical Society of America. A, Optics and image science.

[3]  L. Tabár,et al.  What is the optimum interval between mammographic screening examinations? An analysis based on the latest results of the Swedish two-county breast cancer screening trial. , 1987, British Journal of Cancer.

[4]  G. Barnes,et al.  Normalized average glandular dose in molybdenum target-rhodium filter and rhodium target-rhodium filter mammography. , 1994, Radiology.

[5]  V. Boutenko,et al.  An image quality prediction model for optimization of X-ray system performance , 1996, Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[6]  R Holland,et al.  So‐called interval cancers of the breast: Pathologic and radiologic analysis of sixty‐four cases , 1982, Cancer.

[7]  T. R. Fewell,et al.  Molybdenum, rhodium, and tungsten anode spectral models using interpolating polynomials with application to mammography. , 1997, Medical physics.

[8]  Michael P. Andre,et al.  Optimization of tungsten x-ray spectra for digital mammography: a comparison of model to experiment , 1997, Medical Imaging.

[9]  A Fenster,et al.  A spatial-frequency dependent quantum accounting diagram and detective quantum efficiency model of signal and noise propagation in cascaded imaging systems. , 1994, Medical physics.

[10]  R. K. Swank Absorption and noise in x‐ray phosphors , 1973 .

[11]  P. C. Johns,et al.  X-ray characterisation of normal and neoplastic breast tissues. , 1987, Physics in medicine and biology.

[12]  D B Kopans What is a useful adjunct to mammography? , 1986, Radiology.

[13]  G. Barnes,et al.  Spectral dependence of glandular tissue dose in screen-film mammography. , 1991, Radiology.

[14]  R Fahrig,et al.  A model for optimization of spectral shape in digital mammography. , 1994, Medical physics.

[15]  D B Kopans,et al.  "Early" breast cancer detection using techniques other than mammography. , 1984, AJR. American journal of roentgenology.

[16]  C G Soares,et al.  X-ray scatter data for diagnostic radiology. , 1978, Physics in medicine and biology.

[17]  J Yorkston,et al.  Empirical and theoretical investigation of the noise performance of indirect detection, active matrix flat-panel imagers (AMFPIs) for diagnostic radiology. , 1997, Medical physics.