Evidence map›Paper›PMID 40824507›Full record

ArticleInternational journal of computer assisted radiology and surgery2026

Time series-derived fractal dimension of CT perfusion in acute ischemic stroke: a promising marker for hypoperfused tissue quantification.

Shota Ichikawa, Yohan Kondo, Satoshi Yokoyama

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Article in International journal of computer assisted radiology and surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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5 · Who and what money

Authors and funding

3 authors.

Shota IchikawaDepartment of Radiological Technology, Graduate School of Health Sciences, Niigata University, 2-746 Asahimachi-dori, Chuo-ku, Niigata, 951-8518, Japan. ichikawa@clg.niigata-u.ac.jp.ORCID http://orcid.org/0000-0002-4275-1422
Yohan KondoDepartment of Radiological Technology, Graduate School of Health Sciences, Niigata University, 2-746 Asahimachi-dori, Chuo-ku, Niigata, 951-8518, Japan.ORCID http://orcid.org/0000-0003-3744-0598
Satoshi YokoyamaInstitute for Research Administration, Niigata University, 8050 Ikarashi 2-no-cho, Nishi-ku, Niigata, 950-2181, Japan.ORCID http://orcid.org/0000-0002-1309-1103

Funding

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6 · The paper itself

Abstract

purposeComputed tomography perfusion (CTP) imaging for acute ischemic stroke relies on accurately identifying hypoperfused brain tissue to guide treatment decisions. However, deconvolution-based methods often suffer from variability in perfusion parameters and lesion volumes across different software. This study evaluated the feasibility of temporal fractal analysis, specifically, time series-derived fractal dimension (FD) using the Higuchi method, as a biomarker for detecting hypoperfused brain tissue.

methodsFractal analysis was applied to voxel-wise time-series data from both simulated phantom datasets and 149 CTP images from the publicly available Ischemic Stroke Lesion Segmentation (ISLES) 2024 dataset. FD was calculated using optimized parameters determined through the phantom study. In the patient study, the ischemic core was defined by follow-up MRI, and the penumbra was defined as tissue with Tmax > 6 s. FD values were statistically compared between core, penumbra, and normal tissue. Diagnostic performance was assessed using receiver operating characteristic (ROC) analysis.

resultsIn the phantom study, FD showed a strong correlation (ρ > 0.9) with true cerebral blood flow (CBF) across all cerebral blood volume (CBV) values when the tuning parameter k

conclusionTime series-derived FD offers a promising approach to characterizing perfusion abnormalities in stroke, with potential as a complementary metric to conventional CTP parameters.

Indexed as

FractalsIschemic StrokeTomography, X-Ray ComputedAgedCerebrovascular CirculationFeasibility StudiesFemaleHumansMaleMiddle AgedPhantoms, ImagingAcute ischemic strokeComputed tomography perfusionFractal analysisFractal dimensionHiguchi method

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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.