A very simple, re-executable neuroimaging publication.
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ABSTRACT:
SUBMITTER: Ghosh SS
PROVIDER: S-EPMC5516225 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:PurposeIn dual modality positron emission tomography (PET)/magnetic resonance imaging (MRI), attenuation correction (AC) methods are continually improving. Although a new AC can sometimes be generated from existing MR data, its application requires a new reconstruction. We evaluate an approximate 2D projection method that allows offline image-based reprocessing.Procedure2-Deoxy-2-[18F]fluoro-D-glucose ([18F]FDG) brain scans were acquired (Siemens HR+) for six subjects. Attenuation data were obtained using the scanner's transmission source (SAC). Additional scanning was performed on a Siemens mMR including production of a Dixon-based MR AC (MRAC). The MRAC was imported to the HR+ and the PET data were reconstructed twice: once using native SAC (ground truth); once using the imported MRAC (imperfect AC). The re-projection method was implemented as follows. The MRAC PET was forward projected to approximately reproduce attenuation-corrected sinograms. The SAC and MRAC images were forward projected and converted to attenuation-correction factors (ACFs). The MRAC ACFs were removed from the MRAC PET sinograms by division; the SAC ACFs were applied by multiplication. The regenerated sinograms were reconstructed by filtered back projection to produce images (SUBAC PET) in which SAC has been substituted for MRAC. Ideally SUBAC PET should match SAC PET. Via coregistered T1 images, FreeSurfer (FS; MGH, Boston) was used to define a set of cortical gray matter regions of interest. Regional activity concentrations were extracted for SAC PET, MRAC PET, and SUBAC PET.ResultsSUBAC PET showed substantially smaller root mean square error than MRAC PET with averaged values of 1.5 % versus 8.1 %.ConclusionsRe-projection is a viable image-based method for the application of an alternate attenuation correction in neuroimaging.
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Project description:Different mutations in the gene encoding humans IGF-I cause intrauterine growth retardation, postnatal growth failure, microcephaly, mental retardation, bilateral sensorineural deafness and multiple dysmorphic features. Insight into the role of IGFs in inner ear cochlear ganglion neurogenesis has come from the study of genetically modified mice. Postnatal cochlear development is severely impaired in mice Igf1-/-, which develop smaller cochlea and cochlear ganglia, an immature tectorial membrane and they display a significant decrease in the number and size of auditory neurons. We used microarrays to define the genetic signatures of Igf-1 +/+ and Igf-1-/- mouse cochea and identify the differentially expressed genes. Keywords: comparison between WT and KO
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Project description:Establishing brain-behavior associations that map brain organization to phenotypic measures and generalize to novel individuals remains a challenge in neuroimaging. Predictive modeling approaches that define and validate models with independent datasets offer a solution to this problem. While these methods can detect novel and generalizable brain-behavior associations, they can be daunting, which has limited their use by the wider connectivity community. Here, we offer practical advice and examples based on functional magnetic resonance imaging (fMRI) functional connectivity data for implementing these approaches. We hope these ten rules will increase the use of predictive models with neuroimaging data.
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