Publication:

Multi-Modal X-ray Imaging and Analysis for Characterization of Urinary Stones

Date

Date

Date
2022
Journal Article
Published version

Citations

Citation copied

Saghamanesh, S., Richter, H., Neels, A., & Zboray, R. (2022). Multi-Modal X-ray Imaging and Analysis for Characterization of Urinary Stones. Applied Sciences, 12(8), 3798. https://doi.org/10.3390/app12083798

Abstract

Abstract

Abstract

Backgound: The composition of stones formed in the urinary tract plays an important role in their management over time. The most common imaging method for the non-invasive evaluation of urinary stones is radiography and computed tomography (CT). However, CT is not very sensitive, and cannot differentiate between all critical stone types. In this study, we propose the application, and evaluate the potential, of a multi-modal (or multi-contrast) X-ray imaging technique called speckle-based imaging (SBI) to differentiate between various

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49 since deposited on 2023-03-18
Acq. date: 2025-11-08

Views

71 since deposited on 2023-03-18
Acq. date: 2025-11-08

Additional indexing

Creators (Authors)

  • Saghamanesh, Somayeh
    affiliation.icon.alt
  • Richter, Henning
    affiliation.icon.alt
  • Neels, Antonia
    affiliation.icon.alt
  • Zboray, Robert
    affiliation.icon.alt

Journal/Series Title

Journal/Series Title

Journal/Series Title

Volume

Volume

Volume
12

Number

Number

Number
8

Page Range

Page Range

Page Range
3798

Item Type

Item Type

Item Type
Journal Article

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Keywords

Fluid Flow and Transfer Processes, Computer Science Applications, Process Chemistry and Technology, General Engineering, Instrumentation, General Materials Science

Language

Language

Language
English

Publication date

Publication date

Publication date
2022-04-09

Date available

Date available

Date available
2023-03-18

Publisher

Publisher

Publisher

ISSN or e-ISSN

ISSN or e-ISSN

ISSN or e-ISSN
2076-3417

OA Status

OA Status

OA Status
Gold

Free Access at

Free Access at

Free Access at
DOI

Metrics

Downloads

49 since deposited on 2023-03-18
Acq. date: 2025-11-08

Views

71 since deposited on 2023-03-18
Acq. date: 2025-11-08

Citations

Citation copied

Saghamanesh, S., Richter, H., Neels, A., & Zboray, R. (2022). Multi-Modal X-ray Imaging and Analysis for Characterization of Urinary Stones. Applied Sciences, 12(8), 3798. https://doi.org/10.3390/app12083798

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