Quantitative Intensity Harmonization of Dopamine Transporter SPECT Images Using Gamma Mixture Models.
Purpose: Differences in site, device, and/or settings may cause large variations in the intensity profile of dopamine transporter (DAT) single-photon emission computed tomography (SPECT) images. However, the current standard to evaluate these images, the striatal binding ratio (SBR), does not effici...
| Publicado en: | Molecular Imaging & Biology Vol. 21; no. 2; pp. 339 - 348 |
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| Autores principales: | , , , |
| Formato: | diagnostic images research tables/charts Journal Article |
| Publicado: |
Springer Nature
Apr2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=135752316&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 135752316 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15361632 KJU jtl: Molecular Imaging & Biology issn: 15361632 maglogo: N pubinfo: dt: Apr2019 vid: 21 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 135752316 135752316 NLM29987621 135752316 10.1007/s11307-018-1217-8 NLM29987621 135752316 ppf: 339 ppct: 9 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Quantitative Intensity Harmonization of Dopamine Transporter SPECT Images Using Gamma Mixture Models. aug: au: Llera, Alberto Huertas, Ismael Mir, Pablo Beckmann, Christian F. affil: Donders Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands sug: subj: Tomography, Emission-Computed, Single-Photon Dopamine Plasma Membrane Transport Proteins Metabolism Models, Theoretical Female Human Male Basal Ganglia Middle Age Validation Studies Comparative Studies Evaluation Research Multicenter Studies Funding Source Middle Aged: 45-64 years Female Male ab: Purpose: Differences in site, device, and/or settings may cause large variations in the intensity profile of dopamine transporter (DAT) single-photon emission computed tomography (SPECT) images. However, the current standard to evaluate these images, the striatal binding ratio (SBR), does not efficiently account for this heterogeneity and the assessment can be unequivalent across distinct acquisition pipelines. In this work, we present a voxel-based automated approach to intensity normalize such type of data that improves on cross-session interpretation.Procedures: The normalization method consists of a reparametrization of the voxel values based on the cumulative density function (CDF) of a Gamma distribution modeling the specific region intensity. The harmonization ability was tested in 1342 SPECT images from the PPMI repository, acquired with 7 distinct gamma camera models and at 24 different sites. We compared the striatal quantification across distinct cameras for raw intensities, SBR values, and after applying the Gamma CDF (GDCF) harmonization. As a proof-of-concept, we evaluated the impact of GCDF normalization in a classification task between controls and Parkinson disease patients.Results: Raw striatal intensities and SBR values presented significant differences across distinct camera models. We demonstrate that GCDF normalization efficiently alleviated these differences in striatal quantification and with values constrained to a fixed interval [0, 1]. Also, our method allowed a fully automated image assessment that provided maximal classification ability, given by an area under the curve (AUC) of AUC = 0.94 when used mean regional variables and AUC = 0.98 when used voxel-based variables.Conclusion: The GCDF normalization method is useful to standardize the intensity of DAT SPECT images in an automated fashion and enables the development of unbiased algorithms using multicenter datasets. This method may constitute a key pre-processing step in the analysis of this type of images. pubtype: Academic Journal doctype: diagnostic images research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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