Spatial normalization of 18F-Flutemetamol PET images using an adaptive principal-component template

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Lilja, JohanUppsala universitet,Radiologi,Hermes Medical Solutions, Stockholm, Sweden (författare)

Spatial normalization of 18F-Flutemetamol PET images using an adaptive principal-component template

Artikel/kapitelEngelska2019

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2018-06-14
Society of Nuclear Medicine,2019
electronicrdacarrier

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LIBRIS-ID:oai:DiVA.org:uu-357431
https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-357431URI
https://doi.org/10.2967/jnumed.118.207811DOI
http://kipublications.ki.se/Default.aspx?queryparsed=id:140216467URI

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Språk:engelska
Sammanfattning på:engelska

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Though currently approved for visual assessment only, there is evidence to suggest that quantification of amyloid-β (Aβ) PET images may reduce interreader variability and aid in the monitoring of treatment effects in clinical trials. Quantification typically involves a regional atlas in standard space, requiring PET images to be spatially normalized. Different uptake patterns in Aβ-positive and Aβ-negative subjects, however, make spatial normalization challenging. In this study, we proposed a method to spatially normalize 18F-flutemetamol images using a synthetic template based on principal-component images to overcome these challenges.Methods: 18F-flutemetamol PET and corresponding MR images from a phase II trial (n = 70), including subjects ranging from Aβ-negative to Aβ-positive, were spatially normalized to standard space using an MR-driven registration method (SPM12). 18F-flutemetamol images were then intensity-normalized using the pons as a reference region. Principal-component images were calculated from the intensity-normalized images. A linear combination of the first 2 principal-component images was then used to model a synthetic template spanning the whole range from Aβ-negative to Aβ-positive. The synthetic template was then incorporated into our registration method, by which the optimal template was calculated as part of the registration process, providing a PET-only–driven registration method. Evaluation of the method was done in 2 steps. First, coregistered gray matter masks generated using SPM12 were spatially normalized using the PET- and MR-driven methods, respectively. The spatially normalized gray matter masks were then visually inspected and quantified. Second, to quantitatively compare the 2 registration methods, additional data from an ongoing study were spatially normalized using both methods, with correlation analysis done on the resulting cortical SUV ratios.Results: All scans were successfully spatially normalized using the proposed method with no manual adjustments performed. Both visual and quantitative comparison between the PET- and MR-driven methods showed high agreement in cortical regions. 18F-flutemetamol quantification showed strong agreement between the SUV ratios for the PET- and MR-driven methods (R2 = 0.996; pons reference region).Conclusion: The principal-component template registration method allows for robust and accurate registration of 18F-flutemetamol images to a standardized template space, without the need for an MR image.

Ämnesord och genrebeteckningar

MEDICIN OCH HÄLSOVETENSKAP Klinisk medicin Radiologi och bildbehandling hsv//swe
MEDICAL AND HEALTH SCIENCES Clinical Medicine Radiology, Nuclear Medicine and Medical Imaging hsv//eng
Alzheimer disease
amyloid-beta
PET
F-18-flutemetamol
adaptive template

Biuppslag (personer, institutioner, konferenser, titlar ...)

Leuzy, Antoine (författare)
Chiotis, KonstantinosKarolinska Institutet (författare)
Savitcheva, Irina (författare)
Sörensen, JensUppsala universitet,Radiologi(Swepub:uu)jenssore (författare)
Nordberg, AgnetaKarolinska Institutet (författare)
Uppsala universitetRadiologi (creator_code:org_t)

Sammanhörande titlar

Ingår i:Journal of Nuclear Medicine: Society of Nuclear Medicine60:2, s. 285-2910161-55051535-56672159-662X

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Av författaren/redakt...: Lilja, Johan; Leuzy, Antoine; Chiotis, Konstan ...; Savitcheva, Irin ...; Sörensen, Jens; Nordberg, Agneta

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MEDICIN OCH HÄLSOVETENSKAP: MEDICIN OCH HÄLS ...; och Klinisk medicin; och Radiologi och bi ...

Artiklar i publikationen: Journal of Nucle ...

Av lärosätet: Uppsala universitet; Karolinska Institutet

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