Literature DB >> 19190361

Cramér-Rao lower bound of basis image noise in multiple-energy x-ray imaging.

E Roessl1, C Herrmann.   

Abstract

We present an analytical method to compute the basis image noise in the context of multi-energy x-ray imaging based on the Cramér-Rao lower bound (CRLB). The proposed formalism extends the original idea of Alvarez and Macovski (1976 Phys. Med. Biol. 21 733) to estimate the noise in the photo-effect and Compton-effect basis images in the case of dual-energy imaging. It includes an arbitrary number of independent, spectrally distinct attenuation measurements and also goes beyond the two-dimensional decomposition of the attenuation, including, e.g., a contrast agent as a third basis material. To illustrate our method, we consider three simple applications. The first application is to study the influence of the exact values for the energy thresholds on the basis image noise for a binned photon-counting system. The second application relates to the same detector system as the first and is an investigation of the dependence of the basis image noise on the energy resolution of the detector system. Finally, the third application provides an example for the case of an energy-integrating detector: the aim is to optimize the front-scintillator layer thickness of a dual-crystal detector for dual-energy imaging. The CRLB is used to minimize the noise of a photo-effect/Compton-effect basis material decomposition.

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Year:  2009        PMID: 19190361     DOI: 10.1088/0031-9155/54/5/014

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  19 in total

1.  Optimization of beam quality for photon-counting spectral computed tomography in head imaging: simulation study.

Authors:  Han Chen; Cheng Xu; Mats Persson; Mats Danielsson
Journal:  J Med Imaging (Bellingham)       Date:  2015-11-06

2.  Detective quantum efficiency of photon-counting CdTe and Si detectors for computed tomography: a simulation study.

Authors:  Mats Persson; Adam Wang; Norbert J Pelc
Journal:  J Med Imaging (Bellingham)       Date:  2020-07-17

3.  The effects of extending the spectral information acquired by a photon-counting detector for spectral CT.

Authors:  Taly Gilat Schmidt; Kevin C Zimmerman; Emil Y Sidky
Journal:  Phys Med Biol       Date:  2015-01-23       Impact factor: 3.609

4.  Impact of prior information on material decomposition in dual- and multienergy computed tomography.

Authors:  Liqiang Ren; Shengzhen Tao; Kishore Rajendran; Cynthia H McCollough; Lifeng Yu
Journal:  J Med Imaging (Bellingham)       Date:  2019-03-14

5.  Estimation of signal and noise for a whole-body research photon-counting CT system.

Authors:  Zhoubo Li; Shuai Leng; Zhicong Yu; Steffen Kappler; Cynthia H McCollough
Journal:  J Med Imaging (Bellingham)       Date:  2017-06-22

6.  A framework for performance characterization of energy-resolving photon-counting detectors.

Authors:  Mats Persson; Paurakh L Rajbhandary; Norbert J Pelc
Journal:  Med Phys       Date:  2018-10-12       Impact factor: 4.071

7.  Sparsity-regularized image reconstruction of decomposed K-edge data in spectral CT.

Authors:  Qiaofeng Xu; Alex Sawatzky; Mark A Anastasio; Carsten O Schirra
Journal:  Phys Med Biol       Date:  2014-04-28       Impact factor: 3.609

8.  Image-based Material Decomposition with a General Volume Constraint for Photon-Counting CT.

Authors:  Zhoubo Li; Shuai Leng; Lifeng Yu; Zhicong Yu; Cynthia H McCollough
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2015

Review 9.  Dual- and Multi-Energy CT: Principles, Technical Approaches, and Clinical Applications.

Authors:  Cynthia H McCollough; Shuai Leng; Lifeng Yu; Joel G Fletcher
Journal:  Radiology       Date:  2015-09       Impact factor: 11.105

10.  Optimizing spectral CT parameters for material classification tasks.

Authors:  D S Rigie; P J La Rivière
Journal:  Phys Med Biol       Date:  2016-05-26       Impact factor: 3.609

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