Mapping the architecture of the temporal artery with photoacoustic imaging for diagnosing giant cell arteritis
Naumovska, Magdalena LU ; Merdasa, Aboma LU ; Hammar, Björn LU ; Albinsson, John LU ; Dahlstrand, Ulf LU ; Cinthio, Magnus LU ; Sheikh, Rafi LU
and Malmsjö, Malin
LU
(2022)
In Photoacoustics
27.
- Abstract
- Photoacoustic (PA) imaging is rapidly emerging as a promising clinical diagnostic tool. One of the main applications of PA imaging is to image vascular networks in humans. This relies on the signal obtained from oxygenated and deoxygenated hemoglobin, which limits imaging of the vessel wall itself. Giant cell arteritis (GCA) is a treatable, but potentially sight- and life-threatening disease, in which the artery wall is infiltrated by leukocytes. Early intervention can prevent complications making prompt diagnosis of importance. Temporal artery biopsy is the gold standard for diagnosing GCA. We present an approach to imaging the temporal artery using multispectral PA imaging. Employing minimally supervised spectral analysis, we produce... (More)
- Photoacoustic (PA) imaging is rapidly emerging as a promising clinical diagnostic tool. One of the main applications of PA imaging is to image vascular networks in humans. This relies on the signal obtained from oxygenated and deoxygenated hemoglobin, which limits imaging of the vessel wall itself. Giant cell arteritis (GCA) is a treatable, but potentially sight- and life-threatening disease, in which the artery wall is infiltrated by leukocytes. Early intervention can prevent complications making prompt diagnosis of importance. Temporal artery biopsy is the gold standard for diagnosing GCA. We present an approach to imaging the temporal artery using multispectral PA imaging. Employing minimally supervised spectral analysis, we produce histology-like images where the artery wall is clearly discernible from the lumen and further differentiate between PA spectra from biopsies diagnosed as GCA- and GCA+ in 77 patients. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/310d649f-be4d-4344-87a1-72ef07c54147
- author
- Naumovska, Magdalena
LU
; Merdasa, Aboma
LU
; Hammar, Björn
LU
; Albinsson, John
LU
; Dahlstrand, Ulf
LU
; Cinthio, Magnus
LU
; Sheikh, Rafi
LU
and Malmsjö, Malin
LU
- organization
-
- Ophthalmology Imaging Research Group (research group)
- Clinical research in neuro-ophthalmology (research group)
- Ophthalmology, Lund
- Department of Biomedical Engineering
- LTH Profile Area: Engineering Health
- Clinical and experimental lung transplantation (research group)
- NPWT technology (research group)
- publishing date
- 2022-09-01
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Photoacoustic imaging, Giant cell arteritis, Unsupervised spectral analysis, Noninvasive, clinical diagnosis
- in
- Photoacoustics
- volume
- 27
- article number
- 100384
- publisher
- Elsevier
- external identifiers
-
- scopus:85133881986
- pmid:36068803
- ISSN
- 2213-5979
- DOI
- 10.1016/j.pacs.2022.100384
- language
- English
- LU publication?
- yes
- id
- 310d649f-be4d-4344-87a1-72ef07c54147
- date added to LUP
- 2022-07-13 15:12:32
- date last changed
- 2024-04-03 03:53:55
@article{310d649f-be4d-4344-87a1-72ef07c54147,
abstract = {{Photoacoustic (PA) imaging is rapidly emerging as a promising clinical diagnostic tool. One of the main applications of PA imaging is to image vascular networks in humans. This relies on the signal obtained from oxygenated and deoxygenated hemoglobin, which limits imaging of the vessel wall itself. Giant cell arteritis (GCA) is a treatable, but potentially sight- and life-threatening disease, in which the artery wall is infiltrated by leukocytes. Early intervention can prevent complications making prompt diagnosis of importance. Temporal artery biopsy is the gold standard for diagnosing GCA. We present an approach to imaging the temporal artery using multispectral PA imaging. Employing minimally supervised spectral analysis, we produce histology-like images where the artery wall is clearly discernible from the lumen and further differentiate between PA spectra from biopsies diagnosed as GCA- and GCA+ in 77 patients.}},
author = {{Naumovska, Magdalena and Merdasa, Aboma and Hammar, Björn and Albinsson, John and Dahlstrand, Ulf and Cinthio, Magnus and Sheikh, Rafi and Malmsjö, Malin}},
issn = {{2213-5979}},
keywords = {{Photoacoustic imaging; Giant cell arteritis; Unsupervised spectral analysis; Noninvasive, clinical diagnosis}},
language = {{eng}},
month = {{09}},
publisher = {{Elsevier}},
series = {{Photoacoustics}},
title = {{Mapping the architecture of the temporal artery with photoacoustic imaging for diagnosing giant cell arteritis}},
url = {{http://dx.doi.org/10.1016/j.pacs.2022.100384}},
doi = {{10.1016/j.pacs.2022.100384}},
volume = {{27}},
year = {{2022}},
}