ArticleNeuroImage2013
Optimization of PET-MR registrations for nonhuman primates using mutual information measures: a Multi-Transform Method (MTM).
Article in NeuroImage, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
20 citing papers in PubMed, 31 citations in OpenAlex.
- PET Imaging of Sphingosine-1-Phosphate Receptor 1 with [Molecular imaging and biology · 2025Article
- PET Imaging of Sphingosine-1-Phosphate Receptor 1 with [18F]TZ4877 in Nonhuman Primates.Research square · 2024Article
- Characterization in nonhuman primates of (R)-[European journal of nuclear medicine and molecular imaging · 2022Article
- Imaging the effect of ketamine on synaptic density (SV2A) in the living brain.Molecular psychiatry · 2022Article
- Synthesis and in vivo evaluation of [European journal of nuclear medicine and molecular imaging · 2019Article
- Synthesis and in Vivo Evaluation of a Novel PET Radiotracer for Imaging of Synaptic Vesicle Glycoprotein 2A (SV2A) in Nonhuman Primates.ACS chemical neuroscience · 2019Article
- PET imaging of αEuropean journal of nuclear medicine and molecular imaging · 2017Article
- Nicotine and Nicotine Abstinence Do Not Interfere with GABAA Receptor Neuroadaptations During Alcohol Abstinence.Alcoholism, clinical and experimental research · 2016Article
- PET imaging evaluation of [(18)F]DBT-10, a novel radioligand specific to α7 nicotinic acetylcholine receptors, in nonhuman primates.European journal of nuclear medicine and molecular imaging · 2016Article
- Measurement of Bmax and Kd with the glycine transporter 1 radiotracer ¹⁸F-MK6577 using a novel multi-infusion paradigm.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2015Article
- Evaluation of [(18)F]-(-)-norchlorofluorohomoepibatidine ([(18)F]-(-)-NCFHEB) as a PET radioligand to image the nicotinic acetylcholine receptors in non-human primates.Nuclear medicine and biology · 2015Article
- Further evaluation of [11C]MP-10 as a radiotracer for phosphodiesterase 10A: PET imaging study in rhesus monkeys and brain tissue metabolite analysis.Synapse (New York, N.Y.) · 2015Article
- Magnetic microbubble-mediated ultrasound-MRI registration based on robust optical flow model.Biomedical engineering online · 2015Article
- Evaluation of the sensitivity of the novel α4β2* nicotinic acetylcholine receptor PET radioligand 18F-(-)-NCFHEB to increases in synaptic acetylcholine levels in rhesus monkeys.Synapse (New York, N.Y.) · 2014Article
- A stationary wavelet transform based approach to registration of planning CT and setup cone beam-CT images in radiotherapy.Journal of medical systems · 2014Article
- Imaging nicotine- and amphetamine-induced dopamine release in rhesus monkeys with [(11)C]PHNO vs [(11)C]raclopride PET.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2014Article
- Awake nonhuman primate brain PET imaging with minimal head restraint: evaluation of GABAA-benzodiazepine binding with 11C-flumazenil in awake and anesthetized animals.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2013Article
- Determination of the in vivo selectivity of a new κ-opioid receptor antagonist PET tracer 11C-LY2795050 in the rhesus monkey.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2013Article
- Studies of the metabotropic glutamate receptor 5 radioligand [¹¹C]ABP688 with N-acetylcysteine challenge in rhesus monkeys.Synapse (New York, N.Y.) · 2013Article
- The Search for a Subtype-Selective PET Imaging Agent for the GABAMolecular imagingArticle
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
An important step in PET brain kinetic analysis is the registration of functional data to an anatomical MR image. Typically, PET-MR registrations in nonhuman primate neuroreceptor studies used PET images acquired early post-injection, (e.g., 0-10 min) to closely resemble the subject's MR image. However, a substantial fraction of these registrations (~25%) fail due to the differences in kinetics and distribution for various radiotracer studies and conditions (e.g., blocking studies). The Multi-Transform Method (MTM) was developed to improve the success of registrations between PET and MR images. Two algorithms were evaluated, MTM-I and MTM-II. The approach involves creating multiple transformations by registering PET images of different time intervals, from a dynamic study, to a single reference (i.e., MR image) (MTM-I) or to multiple reference images (i.e., MR and PET images pre-registered to the MR) (MTM-II). Normalized mutual information was used to compute similarity between the transformed PET images and the reference image(s) to choose the optimal transformation. This final transformation is used to map the dynamic dataset into the animal's anatomical MR space, required for kinetic analysis. The chosen transforms from MTM-I and MTM-II were evaluated using visual rating scores to assess the quality of spatial alignment between the resliced PET and reference images. One hundred twenty PET datasets involving eleven different tracers from 3 different scanners were used to evaluate the MTM algorithms. Studies were performed with baboons and rhesus monkeys on the HR+, HRRT, and Focus-220. Successful transformations increased from 77.5%, 85.8%, to 96.7% using the 0-10 min method, MTM-I, and MTM-II, respectively, based on visual rating scores. The Multi-Transform Methods proved to be a robust technique for PET-MR registrations for a wide range of PET studies.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.