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Efficient cosine-windowed cross-correlation for intermediate deformable image registration.

Overview

Authors: Iman Aganj1
  1. Athinoula A. Martinos Center for Biomedical Imaging, Radiology Department, Massachusetts General Hospital, Harvard Medical School,149, 13th St., Suite 2301, Boston, MA 02129 USA
Institutions: Harvard University (United States)
Journal: Scientific reports, volume 16, issue 1, article 8629
Dates: received 7 May 2025; accepted 17 February 2026; published online 13 March 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1038/s41598-026-40961-1 · PMID 41826431 · PMCID PMC12987980 · OpenAlex W7135217413
Open access: gold, a free copy (OpenAlex)
Status: data only
Categories: computational modeling (no new data) (modality), none (in silico) (organism)
Methods: Machine learning, Spectral & time-frequency
Keywords: Intermediate deformable image registration (IDIR), Cosine-windowed cross-correlation, Fast fourier transform (FFT), Image processing, Computational models
Topic: Medical Image Segmentation Techniques (Computer Vision and Pattern Recognition, Computer Science), according to OpenAlex
Citations: not cited yet (Europe PMC); 32 references in the paper

Abstract

The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

Code

The paper links to its data, not to its authors' code: see the Data section.

Code availability statement

The paper has a code availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:

  • no repository, dataset or request procedure was recognized in it

Read it in the paper: doi.org/10.1038/s41598-026-40961-1.

Tracing map

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Data

Datasets cited

Data availability statement

The paper has a data availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:

Read it in the paper: doi.org/10.1038/s41598-026-40961-1.

Versions

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Version 1, 30 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 1 author, 5 keywords, 4 funders, 25 references.

Cite

This paper

Aganj, I. (2026). Efficient cosine-windowed cross-correlation for intermediate deformable image registration. Scientific reports, 16(1), 8629. https://doi.org/10.1038/s41598-026-40961-1

BibTeX

@article{aganj2026efficient,
author = {Aganj, Iman},
title = {{Efficient cosine-windowed cross-correlation for intermediate deformable image registration}},
journal = {Scientific reports},
year = {2026},
month = mar,
volume = {16},
number = {1},
pages = {8629},
publisher = {Nature Publishing Group},
issn = {2045-2322},
doi = {10.1038/s41598-026-40961-1},
url = {https://doi.org/10.1038/s41598-026-40961-1},
pmid = {41826431},
pmcid = {PMC12987980}
}

RIS

TY - JOUR
AU - Aganj, Iman
TI - Efficient cosine-windowed cross-correlation for intermediate deformable image registration
T2 - Scientific reports
J2 - Sci Rep
PY - 2026
DA - 2026/03/13
VL - 16
IS - 1
SP - 8629
SN - 2045-2322
PB - Nature Publishing Group
DO - 10.1038/s41598-026-40961-1
UR - https://doi.org/10.1038/s41598-026-40961-1
LA - en
ER -

CSL-JSON

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"ISSN": "2045-2322",
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"language": "en",
"issued": {
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