Literature DB >> 21119224

Why is TOF PET reconstruction a more robust method in the presence of inconsistent data?

Maurizio Conti1.   

Abstract

In order to obtain an accurate and quantitative positron emission tomography (PET) image, emission data need to be corrected for random coincidences, photon attenuation and Compton scattering of photons in the tissue, and detector efficiency response or normalization. The accuracy of these corrections strongly affects the quality of the PET image. There is evidence that time-of-flight (TOF) PET reconstruction is less sensitive than non-TOF reconstruction to inconsistencies between emission data and corrections. The purpose of this study is to analyze and discuss such experimental evidence. In this work, inconsistent correction data (inconsistent normalization, absence of scatter correction and mismatched attenuation correction) are introduced in experimental phantom data. Both TOF and non-TOF reconstructed images are analyzed to examine the effect of flawed data. The behavior of TOF reconstruction in respiratory artifacts, a very common example of inconsistency in the data, is studied in patient images. TOF reconstruction is less sensitive to mismatched attenuation correction, erroneous normalization and poorly estimated scatter correction. Such robustness depends strongly on the time resolution of the TOF PET scanner. In particular, the robustness of TOF in the presence of attenuation correction inconsistencies is discussed, using a simulation of a simple model of respiratory artifacts. We expect new generations of PET scanners, with improved time resolution, to be less and less sensitive to poor quality normalization, scatter and attenuation corrections. This not only reduces artifacts in the PET image, but also opens the way to less stringent requirements for the quality of the CT image (reducing either the equipment cost or the dose to the patient), and for the normalization protocols (simplifying or shortening the normalization procedures). Moreover, TOF reconstruction can be beneficial in multimodalities such as PET/MR, where a direct attenuation measurement is not available and attenuation correction can only be approximated.

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Year:  2010        PMID: 21119224     DOI: 10.1088/0031-9155/56/1/010

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


  44 in total

1.  Sensitivity estimation in time-of-flight list-mode positron emission tomography.

Authors:  J L Herraiz; A Sitek
Journal:  Med Phys       Date:  2015-11       Impact factor: 4.071

2.  Improvements in PET Image Quality in Time of Flight (TOF) Simultaneous PET/MRI.

Authors:  Ryogo Minamimoto; Craig Levin; Mehran Jamali; Dawn Holley; Amir Barkhodari; Greg Zaharchuk; Andrei Iagaru
Journal:  Mol Imaging Biol       Date:  2016-10       Impact factor: 3.488

3.  Attenuation correction in emission tomography using the emission data--A review.

Authors:  Yannick Berker; Yusheng Li
Journal:  Med Phys       Date:  2016-02       Impact factor: 4.071

Review 4.  Characterization of the impact to PET quantification and image quality of an anterior array surface coil for PET/MR imaging.

Authors:  Scott D Wollenweber; Gaspar Delso; Timothy Deller; David Goldhaber; Martin Hüllner; Patrick Veit-Haibach
Journal:  MAGMA       Date:  2013-06-26       Impact factor: 2.310

Review 5.  Precision and accuracy of clinical quantification of myocardial blood flow by dynamic PET: A technical perspective.

Authors:  Jonathan B Moody; Benjamin C Lee; James R Corbett; Edward P Ficaro; Venkatesh L Murthy
Journal:  J Nucl Cardiol       Date:  2015-04-14       Impact factor: 5.952

6.  Evaluation of image reconstruction algorithms encompassing Time-Of-Flight and Point Spread Function modelling for quantitative cardiac PET: phantom studies.

Authors:  L Presotto; L Gianolli; M C Gilardi; V Bettinardi
Journal:  J Nucl Cardiol       Date:  2014-11-04       Impact factor: 5.952

7.  Advances in imaging instrumentation for nuclear cardiology.

Authors:  Jae Sung Lee; Gil Kovalski; Tali Sharir; Dong Soo Lee
Journal:  J Nucl Cardiol       Date:  2017-07-17       Impact factor: 5.952

8.  The effect of time-of-flight and point spread function modeling on 82Rb myocardial perfusion imaging of obese patients.

Authors:  Paul K R Dasari; Judson P Jones; Michael E Casey; Yuanyuan Liang; Vasken Dilsizian; Mark F Smith
Journal:  J Nucl Cardiol       Date:  2018-06-15       Impact factor: 5.952

Review 9.  MR Imaging-Guided Attenuation Correction of PET Data in PET/MR Imaging.

Authors:  David Izquierdo-Garcia; Ciprian Catana
Journal:  PET Clin       Date:  2016-01-26

Review 10.  Morphology supporting function: attenuation correction for SPECT/CT, PET/CT, and PET/MR imaging.

Authors:  Tzu C Lee; Adam M Alessio; Robert M Miyaoka; Paul E Kinahan
Journal:  Q J Nucl Med Mol Imaging       Date:  2015-11-17       Impact factor: 2.346

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