Cancer treatment response evaluation using photoacoustic signal envelop statistics: A preliminary study
Cancer treatment response evaluation using photoacoustic signal envelop statistics: A preliminary study
Cancer is a major public health problem all over the world. It is currently the second leading cause of death in the United States, and is expected to surpass heart diseases as the leading cause of death in the next few years. To overcome this problem, researchers are discovering new treatments and developing imaging technologies that can aid in early detection of cancer. In this work, we investigate the use of signal envelope statistics to monitor and quantify structural changes in tissues during cell death. Ultrasound backscatter and photoacoustic data were obtained from three mice treated with, Hat-DOX, DOX and saline. The signal envelope statistics were examined by fitting the Rayleigh and Generalized Gamma distributions. The fit parameters showed sensitivity to structural changes in the cells in photoacoustic and ultrasound images. The results indicate that photoacoustic signal statistics can be potentially used to monitor structural changes within a tumor, raising the possibility of monitoring cancer therapy efficacy.
cancer therapy, cell death, photoacoustic imaging, statistical analysis, ultrasound
Hussein, Sarah
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Falou, Omar
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Nasr, Remie
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Hysi, Eno
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Wirtzfeld, Lauren A.
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May, Jonathan P.
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Undzys, Elijus
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Li, Shyh Dar
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Kolios, Michael C.
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26 January 2017
Hussein, Sarah
94b0b554-3fab-4384-ae66-3d58ff53a77f
Falou, Omar
a204755e-9b5c-4f9e-b04f-fdc33d17a870
Nasr, Remie
b07face3-5c0f-4a59-b0ee-59619e66a633
Hysi, Eno
930da6bf-baf4-4334-8cc8-ee0264476b32
Wirtzfeld, Lauren A.
e46c0f07-84dc-4439-b349-36f81c49c413
May, Jonathan P.
b54a262b-9f32-4435-8866-3b9c495294f3
Undzys, Elijus
226e7879-8bef-4715-9e72-d405e59d6dcb
Li, Shyh Dar
9a960896-36e7-4eb8-bd39-55580c60e36d
Kolios, Michael C.
524bd088-1670-4d3c-9817-5298a4b1eebd
Hussein, Sarah, Falou, Omar, Nasr, Remie, Hysi, Eno, Wirtzfeld, Lauren A., May, Jonathan P., Undzys, Elijus, Li, Shyh Dar and Kolios, Michael C.
(2017)
Cancer treatment response evaluation using photoacoustic signal envelop statistics: A preliminary study.
Nait-Ali, Amine, Moukayed, Meis, Al Doori, Mulhim and Pangracious, Vinod
(eds.)
In 2016 International Conference on Bio-Engineering for Smart Technologies, BioSMART 2016.
IEEE..
(doi:10.1109/BIOSMART.2016.7835602).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Cancer is a major public health problem all over the world. It is currently the second leading cause of death in the United States, and is expected to surpass heart diseases as the leading cause of death in the next few years. To overcome this problem, researchers are discovering new treatments and developing imaging technologies that can aid in early detection of cancer. In this work, we investigate the use of signal envelope statistics to monitor and quantify structural changes in tissues during cell death. Ultrasound backscatter and photoacoustic data were obtained from three mice treated with, Hat-DOX, DOX and saline. The signal envelope statistics were examined by fitting the Rayleigh and Generalized Gamma distributions. The fit parameters showed sensitivity to structural changes in the cells in photoacoustic and ultrasound images. The results indicate that photoacoustic signal statistics can be potentially used to monitor structural changes within a tumor, raising the possibility of monitoring cancer therapy efficacy.
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More information
Published date: 26 January 2017
Additional Information:
Funding Information:
Natural Sciences and Engineering Research Council of Canada (NSERC)
Publisher Copyright:
© 2016 IEEE.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
Venue - Dates:
2016 International Conference on Bio-Engineering for Smart Technologies, BioSMART 2016, , Dubai, United Arab Emirates, 2016-12-04 - 2016-12-07
Keywords:
cancer therapy, cell death, photoacoustic imaging, statistical analysis, ultrasound
Identifiers
Local EPrints ID: 482389
URI: http://eprints.soton.ac.uk/id/eprint/482389
PURE UUID: e9d4065b-e92d-449d-a8f8-edce1c7ee106
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Date deposited: 29 Sep 2023 16:42
Last modified: 18 Mar 2024 03:49
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Contributors
Author:
Sarah Hussein
Author:
Omar Falou
Author:
Remie Nasr
Author:
Eno Hysi
Author:
Lauren A. Wirtzfeld
Author:
Elijus Undzys
Author:
Shyh Dar Li
Author:
Michael C. Kolios
Editor:
Amine Nait-Ali
Editor:
Meis Moukayed
Editor:
Mulhim Al Doori
Editor:
Vinod Pangracious
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