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Daniel H. Larsson

Researcher at Royal Institute of Technology

Publications -  22
Citations -  825

Daniel H. Larsson is an academic researcher from Royal Institute of Technology. The author has contributed to research in topics: Phase-contrast imaging & Tomography. The author has an hindex of 12, co-authored 22 publications receiving 722 citations.

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Journal ArticleDOI

Phase retrieval in X-ray phase-contrast imaging suitable for tomography

TL;DR: This work outlines derivations, approximations and assumptions, and shows which methods are similar or identical and how they relate to each other, and performs numerical phase-retrieval for all methods.
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Speckle-based x-ray phase-contrast and dark-field imaging with a laboratory source.

TL;DR: Algorithms for phase and dark-field imaging using speckle tracking are introduced, and it is shown that they yield superior results with respect to existing methods.
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A 24 keV liquid-metal-jet x-ray source for biomedical applications

TL;DR: The high photon energy compared to existing liquid-metal-jet sources increases the penetration depth and allows imaging of thicker samples and the applicability of the source in the biomedical field is demonstrated by high-resolution imaging of a mammography phantom and a phase-contrast angiography phantom.
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X-ray phase contrast for CO2 microangiography

TL;DR: A laboratory method for imaging small blood vessels using x-ray propagation-based phase-contrast imaging and carbon dioxide (CO(2)) gas as a contrast agent and the limited radiation dose in combination with CO(2) being clinically acceptable makes the method promising for small-diameter vascular visualization.
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X-ray phase-contrast tomography for high-spatial-resolution zebrafish muscle imaging.

TL;DR: It is shown that the three-dimensional muscular structure of unstained whole zebrafish can be imaged with sub-5 μm detail with X-ray phase-contrast tomography, and the method opens up for whole-body imaging withSub-cellular detail also of other types of soft tissue and in different animal models.