Evidence map›Paper›PMID 21983855›Full record

ArticleMolecular imaging and biology2012

Mouse atlas registration with non-tomographic imaging modalities-a pilot study based on simulation.

Hongkai Wang, David B Stout, Arion F Chatziioannou

Abstract read
In one paragraph

Article in Molecular imaging and biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Canny edge-based deformable image registration.Physics in medicine and biology · 2017
    Article
  3. Individually ventilated cages impose cold stress on laboratory mice: a source of systemic experimental variability.Journal of the American Association for Laboratory Animal Science : JAALAS · 2013
    Article
  4. Article
  5. Article
  6. Article
  7. Automated analysis of small animal PET studies through deformable registration to an atlas.European journal of nuclear medicine and molecular imaging · 2012
    Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Hongkai WangCrump Institute of Molecular Imaging, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA. wang.hongkai@gmail.com
David B Stout
Arion F Chatziioannou

Funding

The UCLA Imaging Resource for Mouse Cancer ModelsU24CA092865 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CHATZIIOANNOU, ARION XENOFON, PHELPS, MICHAEL E · 2007 to 2011
$2.2M
NCI NIH HHS U24 CA092865
6 · The paper itself

Abstract

purposeThis study investigates methodologies for the estimation of small animal anatomy from non-tomographic modalities, such as planar X-ray projections, optical cameras, and surface scanners. The key goal is to register a digital mouse atlas to a combination of non-tomographic modalities, in order to provide organ-level anatomical references of small animals in 3D. PROCEDURES: A 2D/3D registration method was developed to register the 3D atlas to the combination of non-tomographic imaging modalities. Eleven combinations of three non-tomographic imaging modalities were simulated, and the registration accuracy of each combination was evaluated.

resultsComparing the 11 combinations, the top-view X-ray projection combined with the side-view optical camera yielded the best overall registration accuracy of all organs. The use of a surface scanner improved the registration accuracy of skin, spleen, and kidneys.

conclusionsThe methodologies and evaluation presented in this study should provide helpful information for designing preclinical atlas-based anatomical data acquisition systems.

Indexed as

Anatomy, ArtisticAtlases as TopicComputer SimulationAnimalsImaging, Three-DimensionalMicePhantoms, ImagingPilot ProjectsTomography

Identifiers

PMID21983855
PMCPMC3340486

What OpenQuestion holds

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Registered trials

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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.