Identification of the Uncertainty Structure to Estimate the Acoustic Release of Chemotherapeutics From Polymeric Micelles
This paper estimates the acoustic drug release from micelles after accurately identifying the underlying statistical noise characteristics in experimental data. The drug release is measured as a change in fluorescence as ultrasound is applied. First, the noise structure affecting the process dynamic...
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2017
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| Online Access: | http://hdl.handle.net/11073/21318 |
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| _version_ | 1864513438874599424 |
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| author | Wadi, Ali |
| author2 | Abdel-Hafez, Mamoun Husseini, Ghaleb |
| author2_role | author author |
| author_facet | Wadi, Ali Abdel-Hafez, Mamoun Husseini, Ghaleb |
| author_role | author |
| dc.creator.none.fl_str_mv | Wadi, Ali Abdel-Hafez, Mamoun Husseini, Ghaleb |
| dc.date.none.fl_str_mv | 2017 2021-02-02T11:42:54Z 2021-02-02T11:42:54Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | Ali Wadi, Mamoun Abdel-Hafez, Ghaleb A. Husseini, Vinod Paul, "Multi-Model Investigation and Adaptive Estimation of the Acoustic Release of a Model Drug From Liposomes", NanoBioscience IEEE Transactions on, vol. 19, no. 1, pp. 68-77, 2020. 1558-2639 http://hdl.handle.net/11073/21318 10.1109/TNB.2017.2736021 |
| dc.language.none.fl_str_mv | en_US |
| dc.publisher.none.fl_str_mv | IEEE |
| dc.relation.none.fl_str_mv | https://doi.org/10.1109/TNB.2017.2736021 |
| dc.subject.none.fl_str_mv | Drugs Mathematical model Fluorescence Ultrasonic imaging Noise measurement Encapsulation Ultrasonic variables measurement |
| dc.title.none.fl_str_mv | Identification of the Uncertainty Structure to Estimate the Acoustic Release of Chemotherapeutics From Polymeric Micelles |
| dc.type.none.fl_str_mv | Peer-Reviewed Postprint info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | This paper estimates the acoustic drug release from micelles after accurately identifying the underlying statistical noise characteristics in experimental data. The drug release is measured as a change in fluorescence as ultrasound is applied. First, the noise structure affecting the process dynamics and the measurement process is identified in terms of statistical covariance of the aforementioned quantities. Then, the identified covariance magnitudes are utilized to estimate the dynamics of drug release. The performance of different filters is investigated. The identified a priori knowledge is used to implement an optimal Kalman filter, a multi-hypothesis Kalman filter, and a variant of the full information estimator (moving horizon estimator) to the problem at hand. The proposed algorithms are initially deployed in a simulation environment, and then the experimental data sets are fed into the algorithms to validate their performance. Experiments span a number of ultrasonic power densities for both non-targeted and targeted polymeric micelles (the targeting being accomplished using the folate moiety). The results suggest that the proposed algorithm, the optimal Kalman filter, performs better than the other two in all tests performed. |
| format | article |
| id | aus_1e5876ec2da9670dbfe7e4315e8be96c |
| identifier_str_mv | Ali Wadi, Mamoun Abdel-Hafez, Ghaleb A. Husseini, Vinod Paul, "Multi-Model Investigation and Adaptive Estimation of the Acoustic Release of a Model Drug From Liposomes", NanoBioscience IEEE Transactions on, vol. 19, no. 1, pp. 68-77, 2020. 1558-2639 10.1109/TNB.2017.2736021 |
| language_invalid_str_mv | en_US |
| network_acronym_str | aus |
| network_name_str | aus |
| oai_identifier_str | oai:repository.aus.edu:11073/21318 |
| publishDate | 2017 |
| publisher.none.fl_str_mv | IEEE |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Identification of the Uncertainty Structure to Estimate the Acoustic Release of Chemotherapeutics From Polymeric MicellesWadi, AliAbdel-Hafez, MamounHusseini, GhalebDrugsMathematical modelFluorescenceUltrasonic imagingNoise measurementEncapsulationUltrasonic variables measurementThis paper estimates the acoustic drug release from micelles after accurately identifying the underlying statistical noise characteristics in experimental data. The drug release is measured as a change in fluorescence as ultrasound is applied. First, the noise structure affecting the process dynamics and the measurement process is identified in terms of statistical covariance of the aforementioned quantities. Then, the identified covariance magnitudes are utilized to estimate the dynamics of drug release. The performance of different filters is investigated. The identified a priori knowledge is used to implement an optimal Kalman filter, a multi-hypothesis Kalman filter, and a variant of the full information estimator (moving horizon estimator) to the problem at hand. The proposed algorithms are initially deployed in a simulation environment, and then the experimental data sets are fed into the algorithms to validate their performance. Experiments span a number of ultrasonic power densities for both non-targeted and targeted polymeric micelles (the targeting being accomplished using the folate moiety). The results suggest that the proposed algorithm, the optimal Kalman filter, performs better than the other two in all tests performed.IEEE2021-02-02T11:42:54Z2021-02-02T11:42:54Z2017Peer-ReviewedPostprintinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfAli Wadi, Mamoun Abdel-Hafez, Ghaleb A. Husseini, Vinod Paul, "Multi-Model Investigation and Adaptive Estimation of the Acoustic Release of a Model Drug From Liposomes", NanoBioscience IEEE Transactions on, vol. 19, no. 1, pp. 68-77, 2020.1558-2639http://hdl.handle.net/11073/2131810.1109/TNB.2017.2736021en_UShttps://doi.org/10.1109/TNB.2017.2736021oai:repository.aus.edu:11073/213182024-08-22T12:08:57Z |
| spellingShingle | Identification of the Uncertainty Structure to Estimate the Acoustic Release of Chemotherapeutics From Polymeric Micelles Wadi, Ali Drugs Mathematical model Fluorescence Ultrasonic imaging Noise measurement Encapsulation Ultrasonic variables measurement |
| status_str | publishedVersion |
| title | Identification of the Uncertainty Structure to Estimate the Acoustic Release of Chemotherapeutics From Polymeric Micelles |
| title_full | Identification of the Uncertainty Structure to Estimate the Acoustic Release of Chemotherapeutics From Polymeric Micelles |
| title_fullStr | Identification of the Uncertainty Structure to Estimate the Acoustic Release of Chemotherapeutics From Polymeric Micelles |
| title_full_unstemmed | Identification of the Uncertainty Structure to Estimate the Acoustic Release of Chemotherapeutics From Polymeric Micelles |
| title_short | Identification of the Uncertainty Structure to Estimate the Acoustic Release of Chemotherapeutics From Polymeric Micelles |
| title_sort | Identification of the Uncertainty Structure to Estimate the Acoustic Release of Chemotherapeutics From Polymeric Micelles |
| topic | Drugs Mathematical model Fluorescence Ultrasonic imaging Noise measurement Encapsulation Ultrasonic variables measurement |
| url | http://hdl.handle.net/11073/21318 |