Journal Articles
Tissue damage-tracking control system for image-guided photothermal therapy of cancer
Frontiers in Thermal Engineering, Volume 2, Date: 2022
DOI: 10.3389/fther.2022.1005117
This research explores Photothermal Therapy (PTT) as a promising cancer treatment that uses laser irradiation to damage tumors. PTT faces challenges like collateral damage to healthy tissue and excessive temperature increase in tumors. The study proposes a feedback control system, testing two algorithms (fuzzy logic and PI) via simulations. Both controllers successfully minimize collateral damage while enhancing tumor destruction, demonstrating potential for safer and more effective PTT.
Magnetic resonance imaging datasets with anatomical fiducials for quality control and registration
Scientific Data, Volume 10, Issue 1, Date: 2023
DOI: 10.1038/s41597-023-02330-9
This research presents our contribution: the Anatomical Fiducial (AFID) placement protocol for assessing brain correspondence in MRI data. We release meticulously curated AFID placements for widely used datasets, empowering image registration quality control and clinical applications. Our dataset, which involved over 300 hours of human annotation, is highly accurate, with placements falling within 1-2 mm, consistent with prior studies. Moreover, the data is designed for effortless integration into neuroimaging analysis pipelines.
Conference Proceedings
Multivariable Fuzzy Logic Controlled Photothermal Therapy
IFAC-PapersOnLine, Volume 54, Issue 15, Pages 400-405, Date: 2021
DOI: 10.1016/j.ifacol.2021.10.289
This research explores photothermal therapy for cancer treatment, a non-invasive approach that can complement other treatments. The study introduces a multivariable fuzzy logic controller designed to enhance tumor thermal damage while maintaining safe temperature levels and minimizing harm to nearby healthy tissue. Using three input parameters and thirteen logic rules, the controller adjusts laser power. The results demonstrate the controller's effectiveness in achieving its objectives.
Modeling thermometry image perturbations during photoacoustic imaging-guided photothermal therapy
2021 IEEE UFFC Latin America Ultrasonics Symposium (LAUS), Pages 1-4, Date: 2021
DOI: 10.1109/LAUS53676.2021.9639142
This research explores temperature monitoring during hyperthermia treatments using Photoacoustic (PA) imaging. It aims to improve the accuracy of monitoring by modeling and compensating for image perturbations, such as tissue movement and external noise. The study represents the initial steps toward developing a perturbation-compensated photoacoustic thermometry algorithm.
