Literature DB >> 17475970

Partial-volume correction in PET: validation of an iterative postreconstruction method with phantom and patient data.

Boon-Keng Teo1, Youngho Seo, Stephen L Bacharach, Jorge A Carrasquillo, Steven K Libutti, Himanshu Shukla, Bruce H Hasegawa, Randall A Hawkins, Benjamin L Franc.   

Abstract

UNLABELLED: Partial-volume errors (PVEs) in PET can cause incorrect estimation of radiopharmaceutical uptake in small tumors. An iterative postreconstruction method was evaluated that corrects for PVEs without a priori knowledge of tumor size or background.
METHODS: Volumes of interest (VOIs) were drawn on uncorrected PET images. PVE-corrected images were produced using an iterative 3-dimensional deconvolution algorithm and a local point spread function. The VOIs were projected on the corrected image to estimate the PVE-corrected mean activity concentration. These corrected mean values were compared with uncorrected maximum and mean values. Simulated data were generated as a first test of the correction algorithm. Phantom measurements were made using (18)F-FDG-filled spheres in a scattering medium. Clinical validation used 154 surrogate tumors from 9 patients. The surrogate tumors were blood-pool images of the descending aorta as well as mesenteric and iliac arteries and veins. Surrogate tumors ranged in diameter from 5 to 25 mm. Analysis used (18)F-FDG and (11)C-CO datasets (both dynamic and static). Values representing "truth" were derived from imaging the blood pool in large structures (e.g., the left ventricle, left atrium, or sections of the aorta) where PVEs were negligible. Surrogate tumor sizes were measured from contrast CT.
RESULTS: The PVE-correction technique, when applied to the mean value in spheric phantoms, yielded recovery coefficients of 87% for an 8-mm-diameter sphere and between 100% and 103% for spheres between 13 and 29 mm. For the human studies, PVE-corrected data recovered a large fraction of the true activity concentration (86% +/- 7% for an 8-mm-diameter tumor and 98% +/- 8% for tumors between 10 and 24 mm). For tumors smaller than 18 mm, the PVE-corrected mean values were less biased (P<0.05) than the uncorrected maximum or mean values.
CONCLUSION: Iterative postreconstruction PVE correction generated more accurate uptake measurements in subcentimeter tumors for both phantoms and patients than the uncorrected values. The method eliminates the requirement for segmenting anatomic data and estimating tumor metabolic size or tumor background level. This technique applies a PVE correction to the mean voxel value within a VOI, yielding a more accurate estimate of uptake than the maximum voxel value.

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Year:  2007        PMID: 17475970     DOI: 10.2967/jnumed.106.035576

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  54 in total

1.  Proposal for the standardisation of multi-centre trials in nuclear medicine imaging: prerequisites for a European 123I-FP-CIT SPECT database.

Authors:  John Caddell Dickson; Livia Tossici-Bolt; Terez Sera; Robin de Nijs; Jan Booij; Maria Claudia Bagnara; Anita Seese; Pierre Malick Koulibaly; Umit Ozgur Akdemir; Cathrine Jonsson; Michel Koole; Maria Raith; Markus Nowak Lonsdale; Jean George; Felicia Zito; Klaus Tatsch
Journal:  Eur J Nucl Med Mol Imaging       Date:  2012-01       Impact factor: 9.236

2.  Evaluation of a 3D local multiresolution algorithm for the correction of partial volume effects in positron emission tomography.

Authors:  Adrien Le Pogam; Mathieu Hatt; Patrice Descourt; Nicolas Boussion; Charalampos Tsoumpas; Federico E Turkheimer; Caroline Prunier-Aesch; Jean-Louis Baulieu; Denis Guilloteau; Dimitris Visvikis
Journal:  Med Phys       Date:  2011-09       Impact factor: 4.071

3.  Differential geometry-based techniques for characterization of boundary roughness of pulmonary nodules in CT images.

Authors:  Ashis Kumar Dhara; Sudipta Mukhopadhyay; Pramit Saha; Mandeep Garg; Niranjan Khandelwal
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-09-04       Impact factor: 2.924

4.  Noise propagation in resolution modeled PET imaging and its impact on detectability.

Authors:  Arman Rahmim; Jing Tang
Journal:  Phys Med Biol       Date:  2013-09-13       Impact factor: 3.609

5.  Imaging of small spherical structures in CT: simulation study using measured point spread function.

Authors:  Masaki Ohkubo; Shinichi Wada; Masayuki Kunii; Toru Matsumoto; Kanae Nishizawa
Journal:  Med Biol Eng Comput       Date:  2007-11-10       Impact factor: 2.602

6.  Diminishing the impact of the partial volume effect in cardiac SPECT perfusion imaging.

Authors:  P Hendrik Pretorius; Michael A King
Journal:  Med Phys       Date:  2009-01       Impact factor: 4.071

Review 7.  Resolution modeling in PET imaging: theory, practice, benefits, and pitfalls.

Authors:  Arman Rahmim; Jinyi Qi; Vesna Sossi
Journal:  Med Phys       Date:  2013-06       Impact factor: 4.071

8.  A method for partial volume correction of PET-imaged tumor heterogeneity using expectation maximization with a spatially varying point spread function.

Authors:  David L Barbee; Ryan T Flynn; James E Holden; Robert J Nickles; Robert Jeraj
Journal:  Phys Med Biol       Date:  2010-01-07       Impact factor: 3.609

9.  In vivo tumor grading of prostate cancer using quantitative 111In-capromab pendetide SPECT/CT.

Authors:  Youngho Seo; Carina Mari Aparici; Matthew R Cooperberg; Badrinath R Konety; Randall A Hawkins
Journal:  J Nucl Med       Date:  2009-12-15       Impact factor: 10.057

10.  Partial volume correction strategies for quantitative FDG PET in oncology.

Authors:  Nikie J Hoetjes; Floris H P van Velden; Otto S Hoekstra; Corneline J Hoekstra; Nanda C Krak; Adriaan A Lammertsma; Ronald Boellaard
Journal:  Eur J Nucl Med Mol Imaging       Date:  2010-04-27       Impact factor: 9.236

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