# Identification of microscopic structures in CFRP from X-ray CT based on topological data analysis

https://mdr.nims.go.jp/datasets/e40f870e-86e8-46a5-80ef-34e30c55a554

## File

- [Identification of microscopic structures in CFRP from X-ray CT based on topological data analysis.pdf](https://mdr.nims.go.jp/filesets/cf5ad8ad-7ac8-4054-bf77-66372c0a6004/download) ([Detail](https://mdr.nims.go.jp/filesets/cf5ad8ad-7ac8-4054-bf77-66372c0a6004.md))
- [Supplementary_Information.pdf](https://mdr.nims.go.jp/filesets/eae2d169-d088-45a4-9f04-52db03e0c7cb/download) ([Detail](https://mdr.nims.go.jp/filesets/eae2d169-d088-45a4-9f04-52db03e0c7cb.md))
- [Supplementary_Information_(1).pdf](https://mdr.nims.go.jp/filesets/aa581102-bf8c-4b06-9c0f-1298853136a1/download) ([Detail](https://mdr.nims.go.jp/filesets/aa581102-bf8c-4b06-9c0f-1298853136a1.md))
- [TSTM-2025-0033_data.zip](https://mdr.nims.go.jp/filesets/42aa3308-4090-41b4-ae25-ef6b022efc58/download) ([Detail](https://mdr.nims.go.jp/filesets/42aa3308-4090-41b4-ae25-ef6b022efc58.md))

## Id

e40f870e-86e8-46a5-80ef-34e30c55a554

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2025-11-05T03:08:26.250892Z

## Updated at

2025-11-06T03:30:15.125140Z

## Published at

2025-11-06T03:24:58.812542Z

## Doi

https://doi.org/10.48505/nims.5854

## First published url

https://doi.org/10.1080/27660400.2025.2572288

## Date published

2025-12-31

## Recorded date published

2025-12-31

## Resource type

journal_article

## Manuscript type

accepted_manuscript

## Collection



## Title

- title: Identification of microscopic structures in CFRP from X-ray CT based on topological
    data analysis
  title_type: original
  lang: en

## Description

- description: X-ray computed tomography (X-ray CT) is widely used to examine the
    internal structure of carbon fiber-reinforced plastics (CFRPs), yet challenges
    remain due to the trade-off between field-of-view and spatial resolution. This
    study presents a framework based on topological data analysis (TDA) using persistent
    homology to identify carbon fiber positions and cracks in CFRPs from X-ray CT
    images. Degree-1 persistence diagrams (PD1), obtained via both superlevel-set
    and sublevel-set filtrations of grayscale X-ray CT images, enable the identification
    of fiber positions while avoiding artifacts in the resin matrix. The framework
    is also applied to the detection of particle positions in a scanning electron
    microscopy (SEM) image. Comparative evaluation with watershed and local thickness
    algorithms demonstrates the advantages of our method. Segmentation of crack regions
    is also achieved through a refined application of PD1 using superlevel-set filtration.
    This framework is applicable to a variety of grayscale images beyond X-ray CT.
  description_type: abstract
  lang: en

## Creator

- name: Xichan Gao
  role: author
  organization: Tohoku University
  department: a The Advanced Institute for Materials Research (AIMR)
- name: Kazuto Akagi
  role: author
- name: Daiki Kido
  role: author
- name: Mayrene Uy
  role: author
- name: Masao Kimura
  role: author

## Contact agent



## Publisher

organization: Taylor & Francis

## Managing organization



## Keyword

- subject: CFRP
  schema: not_defined
- subject: fiber positions
  schema: not_defined
- subject: crack, persistent homology
  schema: not_defined
- subject: TDA
  schema: not_defined
- subject: X-ray CT
  schema: not_defined

## Rights

- identifier: https://creativecommons.org/licenses/by/4.0/

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo



## Journal

- title: Science and Technology of Advanced Materials
  issn: '27660400'
  volume: '5'
  article_number: '2572288'

## Conference



## Related item



## Funding



## Instrument



## Instrument operator



## Instrument managing organization



## Measurement method



## Specimen



## Chemical composition



## Structure for specimen



## Structural feature for specimen



## Specific property for specimen



## Process for specimen treatment



## Computational method



## Energy level/transition state



## Software



## Custom property



## Fileset

- id: cf5ad8ad-7ac8-4054-bf77-66372c0a6004
  filename: Identification of microscopic structures in CFRP from X-ray CT based on
    topological data analysis.pdf
  content_type: application/pdf
  size: 10870998
  md5: c3bffd6ca82fe31e967a239b0302cf8f
- id: eae2d169-d088-45a4-9f04-52db03e0c7cb
  filename: Supplementary_Information.pdf
  content_type: application/pdf
  size: 5465828
  md5: 6acb1bd3b62f2adf1f19404868f01681
- id: aa581102-bf8c-4b06-9c0f-1298853136a1
  filename: Supplementary_Information_(1).pdf
  content_type: application/pdf
  size: 5298998
  md5: 50f4f8bb03087bb052c71517acdce69a
- id: 42aa3308-4090-41b4-ae25-ef6b022efc58
  filename: TSTM-2025-0033_data.zip
  content_type: application/zip
  size: 6185
  md5: dc7162c8ca9508adef4755d24eb9bbc4

## Thumbnail

fileset_id: cf5ad8ad-7ac8-4054-bf77-66372c0a6004
filename: Identification of microscopic structures in CFRP from X-ray CT based on
  topological data analysis.pdf