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

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

Research output: Contribution to journalArticle

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Abstract

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 18F-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 18F-FDG and 11C-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% 6 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.

Original languageEnglish (US)
Pages (from-to)802-810
Number of pages9
JournalJournal of Nuclear Medicine
Volume48
Issue number5
DOIs
StatePublished - May 1 2007
Externally publishedYes

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Neoplasms
Fluorodeoxyglucose F18
Iliac Vein
Mesenteric Veins
Mesenteric Arteries
Radiopharmaceuticals
Iliac Artery
Carbon Monoxide
Heart Atria
Thoracic Aorta
Heart Ventricles
Aorta

All Science Journal Classification (ASJC) codes

  • Radiological and Ultrasound Technology

Cite this

Teo, Boon Keng ; Seo, Youngho ; Bacharach, Stephen L. ; Carrasquillo, Jorge A. ; Libutti, Steven ; Shukla, Himanshu ; Hasegawa, Bruce H. ; Hawkins, Randall A. ; Franc, Benjamin L. / Partial-volume correction in PET : Validation of an iterative postreconstruction method with phantom and patient data. In: Journal of Nuclear Medicine. 2007 ; Vol. 48, No. 5. pp. 802-810.
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title = "Partial-volume correction in PET: Validation of an iterative postreconstruction method with phantom and patient data",
abstract = "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 18F-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 18F-FDG and 11C-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{\%} 6 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.",
author = "Teo, {Boon Keng} and Youngho Seo and Bacharach, {Stephen L.} and Carrasquillo, {Jorge A.} and Steven Libutti and Himanshu Shukla and Hasegawa, {Bruce H.} and Hawkins, {Randall A.} and Franc, {Benjamin L.}",
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Teo, BK, Seo, Y, Bacharach, SL, Carrasquillo, JA, Libutti, S, Shukla, H, Hasegawa, BH, Hawkins, RA & Franc, BL 2007, 'Partial-volume correction in PET: Validation of an iterative postreconstruction method with phantom and patient data', Journal of Nuclear Medicine, vol. 48, no. 5, pp. 802-810. https://doi.org/10.2967/jnumed.106.035576

Partial-volume correction in PET : Validation of an iterative postreconstruction method with phantom and patient data. / Teo, Boon Keng; Seo, Youngho; Bacharach, Stephen L.; Carrasquillo, Jorge A.; Libutti, Steven; Shukla, Himanshu; Hasegawa, Bruce H.; Hawkins, Randall A.; Franc, Benjamin L.

In: Journal of Nuclear Medicine, Vol. 48, No. 5, 01.05.2007, p. 802-810.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Partial-volume correction in PET

T2 - Validation of an iterative postreconstruction method with phantom and patient data

AU - Teo, Boon Keng

AU - Seo, Youngho

AU - Bacharach, Stephen L.

AU - Carrasquillo, Jorge A.

AU - Libutti, Steven

AU - Shukla, Himanshu

AU - Hasegawa, Bruce H.

AU - Hawkins, Randall A.

AU - Franc, Benjamin L.

PY - 2007/5/1

Y1 - 2007/5/1

N2 - 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 18F-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 18F-FDG and 11C-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% 6 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.

AB - 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 18F-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 18F-FDG and 11C-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% 6 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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