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| Fältnamn | Indikatorer | Metadata |
|---|---|---|
| 000 | 04839naa a2200481 4500 | |
| 001 | oai:DiVA.org:uu-357431 | |
| 003 | SwePub | |
| 008 | 180816s2019 | |||||||||||000 ||eng| | |
| 009 | oai:prod.swepub.kib.ki.se:140216467 | |
| 024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-3574312 URI |
| 024 | 7 | a https://doi.org/10.2967/jnumed.118.2078112 DOI |
| 024 | 7 | a http://kipublications.ki.se/Default.aspx?queryparsed=id:1402164672 URI |
| 040 | a (SwePub)uud (SwePub)ki | |
| 041 | a engb eng | |
| 042 | 9 SwePub | |
| 072 | 7 | a ref2 swepub-contenttype |
| 072 | 7 | a art2 swepub-publicationtype |
| 100 | 1 | a Lilja, Johanu Uppsala universitet,Radiologi,Hermes Medical Solutions, Stockholm, Sweden4 aut0 (Swepub:uu)johli248 |
| 245 | 1 0 | a Spatial normalization of 18F-Flutemetamol PET images using an adaptive principal-component template |
| 264 | c 2018-06-14 | |
| 264 | 1 | b Society of Nuclear Medicine,c 2019 |
| 338 | a electronic2 rdacarrier | |
| 520 | a 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. | |
| 650 | 7 | a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Radiologi och bildbehandling0 (SwePub)302082 hsv//swe |
| 650 | 7 | a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Radiology, Nuclear Medicine and Medical Imaging0 (SwePub)302082 hsv//eng |
| 653 | a Alzheimer disease | |
| 653 | a amyloid-beta | |
| 653 | a PET | |
| 653 | a F-18-flutemetamol | |
| 653 | a adaptive template | |
| 700 | 1 | a Leuzy, Antoine4 aut |
| 700 | 1 | a Chiotis, Konstantinosu Karolinska Institutet4 aut |
| 700 | 1 | a Savitcheva, Irina4 aut |
| 700 | 1 | a Sörensen, Jensu Uppsala universitet,Radiologi4 aut0 (Swepub:uu)jenssore |
| 700 | 1 | a Nordberg, Agnetau Karolinska Institutet4 aut |
| 710 | 2 | a Uppsala universitetb Radiologi4 org |
| 773 | 0 | t Journal of Nuclear Medicined : Society of Nuclear Medicineg 60:2, s. 285-291q 60:2<285-291x 0161-5505x 1535-5667x 2159-662X |
| 856 | 4 | u https://doi.org/10.2967/jnumed.118.207811y Fulltext |
| 856 | 4 | u https://uu.diva-portal.org/smash/get/diva2:1239371/FULLTEXT01.pdfx primaryx Raw objecty fulltext:print |
| 856 | 4 | u http://jnm.snmjournals.org/content/60/2/285.full.pdf |
| 856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-357431 |
| 856 | 4 8 | u https://doi.org/10.2967/jnumed.118.207811 |
| 856 | 4 8 | u http://kipublications.ki.se/Default.aspx?queryparsed=id:140216467 |
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