The role of x-ray Swank factor in energy-resolving photon-counting imaging.

PURPOSE Energy-resolved x-ray imaging has the potential to improve contrast-to-noise ratio by measuring the energy of each interacting photon and applying optimal weighting factors. The success of energy-resolving photon-counting (EPC) detectors relies on the ability of an x-ray detector to accurately measure the energy of each interacting photon. However, the escape of characteristic emissions and Compton scatter degrades spectral information. This article makes the theoretical connection between accuracy and imprecision in energy measurements with the x-ray Swank factor for a-Se, Si, CdZnTe, and HgI2-based detectors. METHODS For a detector that implements adaptive binning to sum all elements in which x-ray energy is deposited for a single interaction, energy imprecision is shown to depend on the Swank factor for a large element with x rays incident at the center. The response function for each converter material is determined using Monte Carlo methods and used to determine energy accuracy, Swank factor, and relative energy imprecision in photon-energy measurements. RESULTS For each material, at energies below the respective K edges, accuracy is close to unity and imprecision is only a few percent. Above the K-edge energies, characteristic emission results in a drop in accuracy and precision that depends on escape probability. In Si, and to some extent a-Se, Compton-scatter escape also degrades energy precision with increasing energy. The influence of converter thickness on energy accuracy and imprecision is modest for low-Z materials but becomes important when using high-Z materials at energies greater than the K-edge energies. CONCLUSIONS Accuracy and precision in energy measurements by EPC detectors are determined largely by the energy-dependent x-ray Swank factor. Modest decreases in the Swank factor (5%-15%) result in large increases in relative imprecision (30%-40%).

[1]  Björn Cederström,et al.  Physical characterization of a scanning photon counting digital mammography system based on Si-strip detectors. , 2007, Medical physics.

[2]  J. Schlomka,et al.  Experimental feasibility of multi-energy photon-counting K-edge imaging in pre-clinical computed tomography , 2008, Physics in medicine and biology.

[3]  J A Rowlands,et al.  X-ray imaging using amorphous selenium: determination of Swank factor by pulse height spectroscopy. , 1998, Medical physics.

[4]  John A. Rowlands,et al.  Flat Panel Detectors for Digital Radiography , 2000 .

[5]  Adam Wang,et al.  Impact of photon counting detector spectral response on dual energy techniques , 2010, Medical Imaging.

[6]  Taly Gilat Schmidt,et al.  Optimal "image-based" weighting for energy-resolved CT. , 2009, Medical physics.

[7]  Frank Herbert Attix,et al.  Introduction to Radiological Physics and Radiation Dosimetry: Attix/Introduction , 2007 .

[8]  Polad M Shikhaliev,et al.  Tilted angle CZT detector for photon counting/energy weighting x-ray and CT imaging , 2006, Physics in medicine and biology.

[9]  M. Campbell,et al.  The Medipix3 Prototype, a Pixel Readout Chip Working in Single Photon Counting Mode With Improved Spectrometric Performance , 2006, IEEE Transactions on Nuclear Science.

[10]  Taly Gilat Schmidt,et al.  CT energy weighting in the presence of scatter and limited energy resolution. , 2010, Medical physics.

[11]  K Doi,et al.  Studies of x-ray energy absorption and quantum noise properties of x-ray screens by use of Monte Carlo simulation. , 1984, Medical physics.

[12]  H. B. Barber,et al.  Charge transport in arrays of semiconductor gamma-ray detectors. , 1995, Physical review letters.

[13]  P. Shikhaliev Computed tomography with energy-resolved detection: a feasibility study , 2008, Physics in medicine and biology.

[14]  Cheng Xu,et al.  Design considerations to overcome cross talk in a photon counting silicon strip detector for computed tomography , 2010 .

[15]  B. Mikulec,et al.  Development of segmented semiconductor arrays for quantum imaging , 2003 .

[16]  R. F. Wagner,et al.  SNR and DQE analysis of broad spectrum X-ray imaging , 1985 .

[17]  K Doi,et al.  Energy and angular dependence of x-ray absorption and its effect on radiographic response in screen--film systems. , 1983, Physics in medicine and biology.

[18]  Thilo Michel,et al.  A fundamental method to determine the signal-to-noise ratio (SNR) and detective quantum efficiency (DQE) for a photon counting pixel detector , 2006 .

[19]  Adam Wang,et al.  Optimal energy thresholds and weights for separating materials using photon counting x-ray detectors with energy discriminating capabilities , 2009, Medical Imaging.

[20]  J. Yorkston Recent developments in digital radiography detectors , 2007 .

[21]  Andrew D. A. Maidment,et al.  An analytical model of NPS and DQE comparing photon counting and energy integrating detectors , 2010, Medical Imaging.

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

[23]  R. K. Swank Measurement of absorption and noise in an x‐ray image intensifier , 1974 .

[24]  E. Roessl,et al.  Cramér–Rao lower bound of basis image noise in multiple-energy x-ray imaging , 2009, Physics in medicine and biology.

[25]  U. Fano Ionization Yield of Radiations. II. The Fluctuations of the Number of Ions , 1947 .

[26]  A Fenster,et al.  Monte Carlo studies of x-ray energy absorption and quantum noise in megavoltage transmission radiography. , 1995, Medical physics.

[27]  Thilo Michel,et al.  Reconstruction of X-ray spectra with the energy sensitive photon counting detector Medipix2 , 2009 .

[28]  Polad M Shikhaliev,et al.  Projection x-ray imaging with photon energy weighting: experimental evaluation with a prototype detector , 2009, Physics in medicine and biology.

[29]  T. Takahashi,et al.  Single photon counting X-ray imaging with Si and CdTe single chip pixel detectors and multichip pixel modules , 2004, IEEE Transactions on Nuclear Science.

[30]  T. Takahashi,et al.  Performance of a low noise front-end ASIC for Si/CdTe detectors in Compton gamma-ray telescope , 2004, IEEE Transactions on Nuclear Science.

[31]  J A Rowlands,et al.  Optical factors affecting the detective quantum efficiency of radiographic screens. , 1986, Medical physics.

[32]  J. Schlomka,et al.  Multienergy photon-counting K-edge imaging: potential for improved luminal depiction in vascular imaging. , 2008, Radiology.

[33]  C. Ponchut,et al.  Correction of the charge sharing in photon-counting pixel detector data , 2008 .

[34]  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.

[35]  M. Danielsson,et al.  Photon-counting spectral computed tomography using silicon strip detectors: a feasibility study , 2010, Physics in medicine and biology.

[36]  Erik Fredenberg,et al.  Energy resolution of a photon-counting silicon strip detector , 2010, 2101.07789.

[37]  I A Cunningham,et al.  Signal and noise transfer properties of photoelectric interactions in diagnostic x-ray imaging detectors. , 2006, Medical physics.

[38]  I A Cunningham,et al.  Fundamental x-ray interaction limits in diagnostic imaging detectors: Frequency-dependent Swank noise. , 2008, Medical physics.