Literature DB >> 19378760

Application- and patient size-dependent optimization of x-ray spectra for CT.

Willi A Kalender1, Paul Deak, Markus Kellermeier, Marcel van Straten, Sabrina V Vollmar.   

Abstract

Although x-ray computed tomography (CT) has been in clinical use for over 3 decades, spectral optimization has not been a topic of great concern; high voltages around 120 kV have been in use since the beginning of CT. It is the purpose of this study to analyze, in a rigorous manner, the energies at which the patient dose necessary to provide a given contrast-to-noise ratio (CNR) for various diagnostic tasks can be minimized. The authors used cylindrical water phantoms and quasianthropomorphic phantoms of the thorax and the abdomen with inserts of 13 mm diameter mimicking soft tissue, bone, and iodine for simulations and measurements. To provide clearly defined contrasts, these inserts were made of solid water with a 1% difference in density (DD) to represent an energy-independent soft-tissue contrast of 10 Hounsfield units (HU), calcium hydroxyapatite (Ca) representing bone, and iodine (I) representing the typical contrast medium. To evaluate CT of the thorax, an adult thorax phantom (300 x 200 mm2) plus extension rings up to a size of 460 x 300 mm2 to mimic different patient cross sections were used. For CT of the abdomen, we used a phantom of 360 x 200 mm2 and an extension ring of 460 x 300 mm2. The CT scanner that the authors used was a SOMATOM Definition (Siemens Healthcare, Forchheim, Germany) at 80, 100, 120, and 140 kV. Further voltage settings of 60, 75, 90, and 105 kV were available in an experimental mode. The authors determined contrast for the density difference, calcium, and iodine, and noise and 3D dose distributions for the available voltages by measurements. Additional voltage values and monoenergetic sources were evaluated by simulations. The dose-weighted contrast-to-noise ratio (CNRD) was used as the parameter for optimization. Simulations and measurements were in good agreement with respect to absolute values and trends regarding the dependence on energy for the parameters investigated. For soft-tissue imaging, the standard settings of 120-140 kV were found as adequate choices with optimal values increasing for larger cross sections, e.g., for large abdomens voltages higher than 140 kV may be indicated. For bone and iodine imaging the optimum values were generally found at significantly lower voltages of typically below 80 kV. This offers a potential for dose reduction of up to 50%, but demands significantly higher power values in most cases. The authors concluded that voltage settings in CT should be varied more often than is common in practice today and should be chosen not only according to patient size but also according to the substance imaged in order to minimize dose while not compromising image quality. A reduction from 120 to 80 kV, for example, would yield a reduction in patient dose by more than half for coronary CT angiography. The use of lower voltages has to be recommended for contrast medium studies in cardiac and pediatric CT.

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Year:  2009        PMID: 19378760     DOI: 10.1118/1.3075901

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  49 in total

1.  Spectral Hounsfield units: a new radiological concept.

Authors:  Michael Anthony Hurrell; Anthony Philip Howard Butler; Nicholas James Cook; Philip Howard Butler; J Paul Ronaldson; Rafidah Zainon
Journal:  Eur Radiol       Date:  2011-12-02       Impact factor: 5.315

2.  Virtual monochromatic imaging in dual-source dual-energy CT: radiation dose and image quality.

Authors:  Lifeng Yu; Jodie A Christner; Shuai Leng; Jia Wang; Joel G Fletcher; Cynthia H McCollough
Journal:  Med Phys       Date:  2011-12       Impact factor: 4.071

3.  Achieving routine submillisievert CT scanning: report from the summit on management of radiation dose in CT.

Authors:  Cynthia H McCollough; Guang Hong Chen; Willi Kalender; Shuai Leng; Ehsan Samei; Katsuyuki Taguchi; Ge Wang; Lifeng Yu; Roderic I Pettigrew
Journal:  Radiology       Date:  2012-06-12       Impact factor: 11.105

4.  Individually tailored contrast enhancement in CT pulmonary angiography.

Authors:  Babs M F Hendriks; Madeleine Kok; Casper Mihl; Sebastiaan C A M Bekkers; Joachim E Wildberger; Marco Das
Journal:  Br J Radiol       Date:  2016-01-22       Impact factor: 3.039

5.  Aortic CT angiography dose reduction: investigation of optimal noise index and iterative algorithm strength in combination with low kV.

Authors:  Osvaldo Rampado; Stefania Busso; Domenica Garabello; Ezio Marengo; Marco Valerio; Simona Capello; Simona Veglia; Ottavio Davini; Roberto Ropolo
Journal:  Radiol Med       Date:  2015-12-16       Impact factor: 3.469

6.  CT Image Contrast of High-Z Elements: Phantom Imaging Studies and Clinical Implications.

Authors:  Paul F FitzGerald; Robert E Colborn; Peter M Edic; Jack W Lambert; Andrew S Torres; Peter J Bonitatibus; Benjamin M Yeh
Journal:  Radiology       Date:  2015-09-10       Impact factor: 11.105

7.  Development of a low-dose protocol for cone beam CT examinations of the anterior maxilla in children.

Authors:  Jose A Hidalgo Rivas; Keith Horner; Badri Thiruvenkatachari; Jonathan Davies; Chrysoula Theodorakou
Journal:  Br J Radiol       Date:  2015-08-17       Impact factor: 3.039

8.  Design of a digital beam attenuation system for computed tomography. Part II. Performance study and initial results.

Authors:  Timothy P Szczykutowicz; Charles A Mistretta
Journal:  Med Phys       Date:  2013-02       Impact factor: 4.071

9.  Optimization of computed tomography (CT) arthrography of hip for the visualization of cartilage: an in vitro study.

Authors:  Paolo Simoni; Pierre-Philippe Leyder; Adelin Albert; Françoise Malchair; Carole Maréchal; Laura Scarciolla; Bruno Beomonte Zobel; Victoria Alvarez Miezentseva; Philippe Gillet
Journal:  Skeletal Radiol       Date:  2013-11-27       Impact factor: 2.199

10.  Fast analytical approach of application specific dose efficient spectrum selection for diagnostic CT imaging and PET attenuation correction.

Authors:  Xue Rui; Yannan Jin; Paul F FitzGerald; Mingye Wu; Adam M Alessio; Paul E Kinahan; Bruno De Man
Journal:  Phys Med Biol       Date:  2016-10-18       Impact factor: 3.609

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