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Related Concept Videos

Insensitive Nuclei Enhanced by Polarization Transfer (INEPT)01:15

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IR Frequency Region: Fingerprint Region01:03

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IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the C=O, C=N, and C=C occur between 1600–1850 cm−1.
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Double Resonance Techniques: Overview

Double resonance techniques in Nuclear Magnetic Resonance (NMR) spectroscopy involve the simultaneous application of two different frequencies or radiofrequency pulses to manipulate and observe two distinct nuclear spins. One important application of double resonance is spin decoupling, which selectively suppresses coupling with one type of nucleus while observing the NMR signal from another nucleus, simplifying the spectrum and enhancing resolution.
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Solid Phase 11C-Methylation, Purification and Formulation for the Production of PET Tracers
09:25

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Published on: October 24, 2019

Reference region automatic extraction in dynamic [(11)C]PIB.

Yoko Ikoma1, Paul Edison, Anil Ramlackhansingh

  • 1Biophysics Group, Molecular Imaging Center, National Institute of Radiological Sciences, Chiba, Japan.

Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism
|August 8, 2013
PubMed
Summary
This summary is machine-generated.

A new supervised clustering method accurately identifies reference regions for positron emission tomography (PET) scans using [(11)C]Pittsburgh Compound B (PIB). This improves quantification of amyloid plaque deposition in Alzheimer's disease (AD) by overcoming limitations of the traditional cerebellum reference region.

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Area of Science:

  • Neuroimaging
  • Nuclear Medicine
  • Biomarker Development

Background:

  • Positron emission tomography (PET) with [(11)C]Pittsburgh Compound B (PIB) visualizes amyloid plaques in Alzheimer's disease (AD).
  • Quantification typically uses the cerebellum as a reference region, assuming negligible specific binding.
  • Cerebellar retention of [(11)C]PIB in familial AD challenges this assumption.

Purpose of the Study:

  • To develop an automated method for extracting a reliable reference region in [(11)C]PIB PET studies.
  • To improve the accuracy of amyloid quantification in AD by addressing limitations of the cerebellar reference region.

Main Methods:

  • Developed a supervised clustering procedure to model gray matter voxels.
  • Classified voxels into normal gray matter, lesion gray matter, and blood pool kinetic components.
  • Extracted reference voxels with a high contribution from the normal gray matter class.

Main Results:

  • Validation in idiopathic AD showed extracted regions primarily in the cerebellum with minimal specific [(11)C]PIB binding.
  • Extracted regions yielded lower total distribution volumes than the cerebellum.
  • Application to familial AD demonstrated higher binding potential compared to cerebellar reference-based quantification.

Conclusions:

  • Supervised clustering provides an automated and accurate method for reference region extraction in [(11)C]PIB PET studies.
  • This approach enhances the reliability of amyloid quantification, particularly in cases with cerebellar amyloid deposition.
  • The method offers a valuable tool for advancing AD research and diagnosis.