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Performance evaluation of a sub-millimetre spectrally resolved CT system on high- and low-frequency imaging tasks: a simulation
KTH, School of Engineering Sciences (SCI), Physics, Medical Imaging.ORCID iD: 0000-0001-7253-0164
KTH, School of Engineering Sciences (SCI), Physics, Medical Imaging.ORCID iD: 0000-0002-3039-9791
KTH, School of Engineering Sciences (SCI), Physics, Medical Imaging.
2012 (English)In: Physics in Medicine and Biology, ISSN 0031-9155, E-ISSN 1361-6560, Vol. 57, no 8, 2373-2391 p.Article in journal (Refereed) Published
Abstract [en]

We are developing a photon-counting silicon strip detector with 0.4 x 0.5 mm(2) detector elements for clinical CT applications. Except for the limited detection efficiency of approximately 0.8 for a spectrum of 80 kVp, the largest discrepancies from ideal spectral behaviour have been shown to be Compton interactions in the detector and electronic noise. Using the framework of cascaded system analysis, we reconstruct the 3D MTF and NPS of a silicon strip detector including the influence of scatter and charge sharing inside the detector. We compare the reconstructed noise and signal characteristics with a reconstructed 3D MTF and NPS of an ideal energy-integrating detector system with unity detection efficiency, no scatter or charge sharing inside the detector, unity presampling MTF and 1 x 1 mm(2) detector elements. The comparison is done by calculating the dose-normalized detectability index for some clinically relevant imaging tasks and spectra. This work demonstrates that although the detection efficiency of the silicon detector rapidly drops for the acceleration voltages encountered in clinical computed tomography practice, and despite the high fraction of Compton interactions due to the low atomic number, silicon detectors can perform on a par with ideal energy-integrating detectors for routine imaging tasks containing low-frequency components. For imaging tasks containing high-frequency components, the proposed silicon detector system can perform approximately 1.1-1.3 times better than a fully ideal energy-integrating system.

Place, publisher, year, edition, pages
2012. Vol. 57, no 8, 2373-2391 p.
National Category
Radiology, Nuclear Medicine and Medical Imaging
Identifiers
URN: urn:nbn:se:kth:diva-94040DOI: 10.1088/0031-9155/57/8/2373ISI: 000302567100018Scopus ID: 2-s2.0-84859355603OAI: oai:DiVA.org:kth-94040DiVA: diva2:525233
Note
QC 20120507Available from: 2012-05-07 Created: 2012-05-07 Last updated: 2017-12-07Bibliographically approved
In thesis
1. Quantification and Maximization of Performance Measures for Photon Counting Spectral Computed Tomography
Open this publication in new window or tab >>Quantification and Maximization of Performance Measures for Photon Counting Spectral Computed Tomography
2015 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

During my time as a PhD student at the Physics of Medical Imaging group at KTH, I have taken part in the work of developing a photon counting spectrally resolved silicon detector for clinical computed tomography. This work has largely motivated the direction of my research, and is the main reason for my focus on certain issues. Early in the work, a need to quantify and optimize the performance of a spectrally resolved detector was identified. A large part of my work have thus consisted of reviewing conventional methods used for performance quantification and optimization in computed tomography, and identifying which are best suited for the characterization of a spectrally resolved system. In addition, my work has included comparisons of conventional systems with the detector we are developing. The collected result after a little more than four years of work are four publications and three conference papers.

This compilation thesis consists of five introductory chapters and my four publications. The introductory chapters are not self-contained in the sense that the theory and results from all my published work are included. Rather, they are written with the purpose of being a context in which the papers should be read.

The first two chapters treat the general purpose of the introductory chapters, and the theory of computed tomography including the distinction between conventional, non-spectral, computed tomography, and different practical implementations of spectral computed tomography. The second chapter consists of a review of the conventional methods developed for quantification and optimization of image quality in terms of detectability and signal-to-noise ratio, part of which are included in my published work. In addition, the theory on which the method of material basis decomposition is based on is presented, together with a condensed version of the results from my work on the comparison of two systems with fundamentally different practical solutions for material quantification. In the fourth chapter, previously unpublished measurements on the photon counting spectrally resolved detector we are developing are presented, and compared to Monte Carlo simulations. In the fifth and final chapter, a summary of the appended publications is included.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2015. x, 65 p.
Series
TRITA-FYS, ISSN 0280-316X ; 15:08
Keyword
spectral computed tomography, silicon detector, detectability index, photon counting, Hotelling SDNR, material basis decomposition
National Category
Other Physics Topics
Identifiers
urn:nbn:se:kth:diva-160899 (URN)978-91-7595-465-3 (ISBN)
Public defence
2015-03-27, sal D3, Lindstedtsvägen 5, KTH, Stockholm, 10:00 (English)
Opponent
Supervisors
Note

QC 20150303

Available from: 2015-03-03 Created: 2015-03-03 Last updated: 2015-03-03Bibliographically approved

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