Evidence map›Paper›PMID 29075361›Full record

ArticleSIAM journal on imaging sciences2016

Constrained

Andreas Mang, George Biros

Abstract read
In one paragraph

Article in SIAM journal on imaging sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency.Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition · 2023
    Article
  3. Article
  4. Article
  5. Fast GPU 3D diffeomorphic image registration.Journal of parallel and distributed computing · 2021
    Article
  6. Article
  7. Multi-Node Multi-GPU Diffeomorphic Image Registration for Large-Scale Imaging Problems.International Conference for High Performance Computing, Networking, Storage and Analysis : [proceedings]. SC (Conference : Supercomputing) · 2020
    Article
  8. Article
  9. IMAGE-DRIVEN BIOPHYSICAL TUMOR GROWTH MODEL CALIBRATION.SIAM journal on scientific computing : a publication of the Society for Industrial and Applied Mathematics · 2020
    Article
  10. Coupling brain-tumor biophysical models and diffeomorphic image registration.Computer methods in applied mechanics and engineering · 2019
    Article
  11. CLAIRE: A DISTRIBUTED-MEMORY SOLVER FOR CONSTRAINED LARGE DEFORMATION DIFFEOMORPHIC IMAGE REGISTRATION.SIAM journal on scientific computing : a publication of the Society for Industrial and Applied Mathematics · 2019
    Article
  12. A LAGRANGIAN GAUSS-NEWTON-KRYLOV SOLVER FOR MASS- AND INTENSITY-PRESERVING DIFFEOMORPHIC IMAGE REGISTRATION.SIAM journal on scientific computing : a publication of the Society for Industrial and Applied Mathematics · 2017
    Article
  13. A SEMI-LAGRANGIAN TWO-LEVEL PRECONDITIONED NEWTON-KRYLOV SOLVER FOR CONSTRAINED DIFFEOMORPHIC IMAGE REGISTRATION.SIAM journal on scientific computing : a publication of the Society for Industrial and Applied Mathematics · 2017
    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

2 authors.

Andreas MangThe Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, Texas, 78712-0027, US.
George BirosThe Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, Texas, 78712-0027, US.

Funding

Statistical atlases of brain tumor MRI:do imaging phenotypes predict progression?R01NS042645 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI DAVATZIKOS, CHRISTOS · 2002 to 2024
$8.7M
NINDS NIH HHS R01 NS042645
6 · The paper itself

Abstract

We propose regularization schemes for deformable registration and efficient algorithms for their numerical approximation. We treat image registration as a variational optimal control problem. The deformation map is parametrized by its velocity. Tikhonov regularization ensures well-posedness. Our scheme augments standard smoothness regularization operators based on

Indexed as

35Q9349J2065K1068U1076D55constrained regularization schemesinexact NewtonKrylov methodoptimal controlshear controlstationary velocity field diffeomorphic registrationvariable eliminationvolume conservation

Identifiers

PMID29075361
PMCPMC5654641

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.