Automated Quantification of Macular Vasculature Changes from OCTA Images of Hematologic Patients

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Standard

Automated Quantification of Macular Vasculature Changes from OCTA Images of Hematologic Patients. / Engberg, Astrid M.E.; Amini, Abdullah; Willerslev, Anne; Larsen, Michael; Sander, Birgit; Kessel, Line; Dahl, Anders B.; Dahl, Vedrana A.

2020 IEEE 17th International Symposium on Biomedical Imaging. IEEE, 2020. p. 1987-1991 9098441 (Proceedings - International Symposium on Biomedical Imaging, Vol. 2020-April).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Harvard

Engberg, AME, Amini, A, Willerslev, A, Larsen, M, Sander, B, Kessel, L, Dahl, AB & Dahl, VA 2020, Automated Quantification of Macular Vasculature Changes from OCTA Images of Hematologic Patients. in 2020 IEEE 17th International Symposium on Biomedical Imaging., 9098441, IEEE, Proceedings - International Symposium on Biomedical Imaging, vol. 2020-April, pp. 1987-1991, 17th IEEE International Symposium on Biomedical Imaging, ISBI 2020, Iowa City, United States, 03/04/2020. https://doi.org/10.1109/ISBI45749.2020.9098441

APA

Engberg, A. M. E., Amini, A., Willerslev, A., Larsen, M., Sander, B., Kessel, L., Dahl, A. B., & Dahl, V. A. (2020). Automated Quantification of Macular Vasculature Changes from OCTA Images of Hematologic Patients. In 2020 IEEE 17th International Symposium on Biomedical Imaging (pp. 1987-1991). [9098441] IEEE. Proceedings - International Symposium on Biomedical Imaging Vol. 2020-April https://doi.org/10.1109/ISBI45749.2020.9098441

Vancouver

Engberg AME, Amini A, Willerslev A, Larsen M, Sander B, Kessel L et al. Automated Quantification of Macular Vasculature Changes from OCTA Images of Hematologic Patients. In 2020 IEEE 17th International Symposium on Biomedical Imaging. IEEE. 2020. p. 1987-1991. 9098441. (Proceedings - International Symposium on Biomedical Imaging, Vol. 2020-April). https://doi.org/10.1109/ISBI45749.2020.9098441

Author

Engberg, Astrid M.E. ; Amini, Abdullah ; Willerslev, Anne ; Larsen, Michael ; Sander, Birgit ; Kessel, Line ; Dahl, Anders B. ; Dahl, Vedrana A. / Automated Quantification of Macular Vasculature Changes from OCTA Images of Hematologic Patients. 2020 IEEE 17th International Symposium on Biomedical Imaging. IEEE, 2020. pp. 1987-1991 (Proceedings - International Symposium on Biomedical Imaging, Vol. 2020-April).

Bibtex

@inproceedings{fc5f913c0f774b74931939dc2dd9a36a,
title = "Automated Quantification of Macular Vasculature Changes from OCTA Images of Hematologic Patients",
abstract = "Abnormal blood compositions can lead to abnormal blood flow which can influence the macular vasculature. Optical coherence tomography angiography (OCTA) makes it possible to study the macular vasculature and potential vascular abnormalities induced by hematological disorders. Here, we investigate vascular changes in control subjects and in hematologic patients before and after treatment. Since these changes are small, they are difficult to notice in the OCTA images. To quantify vascular changes, we propose a method for combined capillary registration, dictionary-based segmentation and local density estimation. Using this method, we investigate three patients and five controls, and our results show that we can detect small changes in the vasculature in patients with large changes in blood composition.",
keywords = "Microvasculature, OCTA, Quantification",
author = "Engberg, {Astrid M.E.} and Abdullah Amini and Anne Willerslev and Michael Larsen and Birgit Sander and Line Kessel and Dahl, {Anders B.} and Dahl, {Vedrana A.}",
year = "2020",
doi = "10.1109/ISBI45749.2020.9098441",
language = "English",
series = "Proceedings - International Symposium on Biomedical Imaging",
pages = "1987--1991",
booktitle = "2020 IEEE 17th International Symposium on Biomedical Imaging",
publisher = "IEEE",
note = "17th IEEE International Symposium on Biomedical Imaging, ISBI 2020 ; Conference date: 03-04-2020 Through 07-04-2020",

}

RIS

TY - GEN

T1 - Automated Quantification of Macular Vasculature Changes from OCTA Images of Hematologic Patients

AU - Engberg, Astrid M.E.

AU - Amini, Abdullah

AU - Willerslev, Anne

AU - Larsen, Michael

AU - Sander, Birgit

AU - Kessel, Line

AU - Dahl, Anders B.

AU - Dahl, Vedrana A.

PY - 2020

Y1 - 2020

N2 - Abnormal blood compositions can lead to abnormal blood flow which can influence the macular vasculature. Optical coherence tomography angiography (OCTA) makes it possible to study the macular vasculature and potential vascular abnormalities induced by hematological disorders. Here, we investigate vascular changes in control subjects and in hematologic patients before and after treatment. Since these changes are small, they are difficult to notice in the OCTA images. To quantify vascular changes, we propose a method for combined capillary registration, dictionary-based segmentation and local density estimation. Using this method, we investigate three patients and five controls, and our results show that we can detect small changes in the vasculature in patients with large changes in blood composition.

AB - Abnormal blood compositions can lead to abnormal blood flow which can influence the macular vasculature. Optical coherence tomography angiography (OCTA) makes it possible to study the macular vasculature and potential vascular abnormalities induced by hematological disorders. Here, we investigate vascular changes in control subjects and in hematologic patients before and after treatment. Since these changes are small, they are difficult to notice in the OCTA images. To quantify vascular changes, we propose a method for combined capillary registration, dictionary-based segmentation and local density estimation. Using this method, we investigate three patients and five controls, and our results show that we can detect small changes in the vasculature in patients with large changes in blood composition.

KW - Microvasculature

KW - OCTA

KW - Quantification

U2 - 10.1109/ISBI45749.2020.9098441

DO - 10.1109/ISBI45749.2020.9098441

M3 - Article in proceedings

AN - SCOPUS:85085861908

T3 - Proceedings - International Symposium on Biomedical Imaging

SP - 1987

EP - 1991

BT - 2020 IEEE 17th International Symposium on Biomedical Imaging

PB - IEEE

T2 - 17th IEEE International Symposium on Biomedical Imaging, ISBI 2020

Y2 - 3 April 2020 through 7 April 2020

ER -

ID: 251582788