. 2015 Feb 15:107:55-64.

doi: 10.1016/j.neuroimage.2014.11.058. Epub 2014 Dec 5.

Partial volume correction in quantitative amyloid imaging

Yi Su¹, Tyler M Blazey², Abraham Z Snyder³, Marcus E Raichle², Daniel S Marcus², Beau M Ances³, Randall J Bateman⁴, Nigel J Cairns⁵, Patricia Aldea², Lisa Cash², Jon J Christensen², Karl Friedrichsen², Russ C Hornbeck², Angela M Farrar², Christopher J Owen², Richard Mayeux⁶, Adam M Brickman⁶, William Klunk⁷, Julie C Price⁸, Paul M Thompson⁹, Bernadino Ghetti¹⁰, Andrew J Saykin¹¹, Reisa A Sperling¹², Keith A Johnson¹³, Peter R Schofield¹⁴, Virginia Buckles⁴, John C Morris⁴, Tammie L S Benzinger²; Dominantly Inherited Alzheimer Network

Affiliations

¹ Department of Radiology, Washington University School of Medicine, Saint Louis, MO 63110, USA. Electronic address: suy@mir.wustl.edu.
² Department of Radiology, Washington University School of Medicine, Saint Louis, MO 63110, USA.
³ Department of Radiology, Washington University School of Medicine, Saint Louis, MO 63110, USA; Department of Neurology, Washington University School of Medicine, Saint Louis, MO 63110, USA.
⁴ Department of Neurology, Washington University School of Medicine, Saint Louis, MO 63110, USA.
⁵ Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO 63110, USA.
⁶ Department of Neurology, Columbia University Medical Center, New York, NY 10032, USA.
⁷ Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA.
⁸ Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA.
⁹ Imaging Genetics Center, Institute for Neuroimaging and Informatics, University of Southern California, Los Angeles, CA 90032, USA; Department of Neurology, University of Southern California, Los Angeles, CA 90032, USA; Department of Psychiatry, University of Southern California, Los Angeles, CA 90032, USA; Department of Engineering, University of Southern California, Los Angeles, CA 90032, USA; Department of Radiology, University of Southern California, Los Angeles, CA 90032, USA; Department of Pediatrics, University of Southern California, Los Angeles, CA 90032, USA; Department of Ophthalmology, University of Southern California, Los Angeles, CA 90032, USA.
¹⁰ Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
¹¹ Center for Neuroimaging, Department of Radiology and Imaging Science, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
¹² Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.
¹³ Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.
¹⁴ Neuroscience Research Australia, Sydney, NSW 2031, Australia; School of Medical Sciences, University of New South Wales, Sydney, NSW 2052, Australia.

PMID: 25485714
PMCID: PMC4300252
DOI: 10.1016/j.neuroimage.2014.11.058

Partial volume correction in quantitative amyloid imaging

Yi Su et al. Neuroimage. 2015.

. 2015 Feb 15:107:55-64.

doi: 10.1016/j.neuroimage.2014.11.058. Epub 2014 Dec 5.

Authors

Affiliations

¹ Department of Radiology, Washington University School of Medicine, Saint Louis, MO 63110, USA. Electronic address: suy@mir.wustl.edu.
² Department of Radiology, Washington University School of Medicine, Saint Louis, MO 63110, USA.
³ Department of Radiology, Washington University School of Medicine, Saint Louis, MO 63110, USA; Department of Neurology, Washington University School of Medicine, Saint Louis, MO 63110, USA.
⁴ Department of Neurology, Washington University School of Medicine, Saint Louis, MO 63110, USA.
⁵ Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO 63110, USA.
⁶ Department of Neurology, Columbia University Medical Center, New York, NY 10032, USA.
⁷ Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA.
⁸ Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA.
⁹ Imaging Genetics Center, Institute for Neuroimaging and Informatics, University of Southern California, Los Angeles, CA 90032, USA; Department of Neurology, University of Southern California, Los Angeles, CA 90032, USA; Department of Psychiatry, University of Southern California, Los Angeles, CA 90032, USA; Department of Engineering, University of Southern California, Los Angeles, CA 90032, USA; Department of Radiology, University of Southern California, Los Angeles, CA 90032, USA; Department of Pediatrics, University of Southern California, Los Angeles, CA 90032, USA; Department of Ophthalmology, University of Southern California, Los Angeles, CA 90032, USA.
¹⁰ Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
¹¹ Center for Neuroimaging, Department of Radiology and Imaging Science, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
¹² Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.
¹³ Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.
¹⁴ Neuroscience Research Australia, Sydney, NSW 2031, Australia; School of Medical Sciences, University of New South Wales, Sydney, NSW 2052, Australia.

PMID: 25485714
PMCID: PMC4300252
DOI: 10.1016/j.neuroimage.2014.11.058

Abstract

Amyloid imaging is a valuable tool for research and diagnosis in dementing disorders. As positron emission tomography (PET) scanners have limited spatial resolution, measured signals are distorted by partial volume effects. Various techniques have been proposed for correcting partial volume effects, but there is no consensus as to whether these techniques are necessary in amyloid imaging, and, if so, how they should be implemented. We evaluated a two-component partial volume correction technique and a regional spread function technique using both simulated and human Pittsburgh compound B (PiB) PET imaging data. Both correction techniques compensated for partial volume effects and yielded improved detection of subtle changes in PiB retention. However, the regional spread function technique was more accurate in application to simulated data. Because PiB retention estimates depend on the correction technique, standardization is necessary to compare results across groups. Partial volume correction has sometimes been avoided because it increases the sensitivity to inaccuracy in image registration and segmentation. However, our results indicate that appropriate PVC may enhance our ability to detect changes in amyloid deposition.

Keywords: Amyloid imaging; PET; Partial volume correction; PiB.

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Figures

**Figure 1**
Demonstration of the simulation procedure. A) Example MR data. B) FreeSurfer segmentation of the MR data. A time-activity curve (TAC) was assigned to each ROI. C) Example regional TAC D) Example frame of simulated data after assigning a TAC to each region. E) PET frame smoothed to PET resolution. F) Final simulated dynamic PET frame including noise.

**Figure 2**
Estimated binding potentials with and without partial volume correction for simulations created with different cortical thickness and amyloid load.

**Figure 3**
Impact of partial volume effects to binding potential estimation due to longitudinal changes in cortical thickness based on the simulation study.

**Figure 4**
Trajectories of PiB binding estimated with cross sectional first-degree LOESS curves with and without PVC (top row). And regional time-activity curve with and without PVC for an example subject (bottom row).

**Figure 5**
Regional binding potentials with and without PVC. Although for individual regions, the PVC corrected BP_ND were highly correlated with the uncorrected version, the slope of the linear relationship varies from one region to another. On average, the estimaged BP_ND increased 41±33%, 8±14%, and 31±22% for left precuneus, left putamen and MCBP respectively when RSF PVC is applied; the estimated BP_ND increased 7±8% for left precuneus, decreased 17±2% for left putamen, and increased 12±5% for MCBP when PVC2C is applied. The percent change is calculated as (BP_PVC−BP_raw)/(1+BP_raw)×100%.

See this image and copyright information in PMC

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Partial volume correction in quantitative amyloid imaging

Affiliations

Partial volume correction in quantitative amyloid imaging

Authors

Affiliations

Abstract

Figures

References

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