Dr. Serdar Charyyev Profile

Dr. Serdar Charyyev

at Winship Cancer Institute of Emory Univ

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Author

Publications (3)

Proceedings Article | 4 April 2022 Paper

An unsupervised patient-specific metal artifact reduction framework for proton therapy

Chih-Wei Chang, Yang Lei, Serdar Charyyev, Shuai Leng, Tim Yoon, Jun Zhou, Xiaofeng Yang, Liyong Lin

Proceedings Volume 12034, 120340X (2022) https://doi.org/10.1117/12.2612345

KEYWORDS: Computed tomography, Metals, Tissues, Reconstruction algorithms, Data modeling, Tumors, Spine, Scanners, Monte Carlo methods, Machine learning

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Proceedings Article | 15 February 2021 Poster + Paper

Synthetic dual energy CT imaging from single energy CT using deep attention neural network

Tonghe Wang, Serdar Charyyev, Yang Lei, Beth Ghavidel, Jonathan Beitler, Mark McDonald, Walter Curran, Jun Zhou, Tian Liu, Xiaofeng Yang

Proceedings Volume 11595, 1159547 (2021) https://doi.org/10.1117/12.2580966

KEYWORDS: Computed tomography, Dual energy imaging, Neural networks, Target acquisition, Image processing, Cancer

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Proceedings Article | 15 February 2021 Presentation + Paper

Accurate characterization of metal implants and human materials using novel proton counting detector for Monte Carlo dose calculation in proton therapy

Serdar Charyyev, Chih-Wei Chang, Joseph Harms, Cristina Oancea, S. Tim Yoon, Xiaofeng Yang, Tiezhi Zhang, Jun Zhou, Shuai Leng, Liyong Lin

Proceedings Volume 11595, 115950B (2021) https://doi.org/10.1117/12.2581751

KEYWORDS: Metals, Sensors, Monte Carlo methods, Spine, Tissues, Spectral imaging cameras, Particles, Aluminum

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Owing to poor characterization of implant and adjacent human tissues, the presence of metal implants has been shown to be a risk factor for clinical results for proton therapy. In this project we have developed a way of characterizing implant and human materials in terms of water-equivalent thicknesses (WET) and relative stopping power (RSP) using a novel proton counting detector. We tracked each proton using a fast spectral imaging camera AdvaPIX-TPX3 which operated in energy mode measures collected energy per-voxel to derive the deposited energy along the particle track across the voxelated sensor. We considered three scenarios: sampling of WET of a CIRS M701 Adult Phantom (CMAP) at different locations; measurements of energy perturbations in the CMAP implanted with metal rods; sampling of WET of a more complex spine phantom. WET and RSP information were extracted from energy spectra at position along the central axis by using the shift in the most probable energy (MPE) from the reference energy (either initial incident energy or energy without a metal implant). Measurements were compared to TOPAS simulation results. Measured WET of the CMAP ranged from 18.63 to 25.23 cm depending on the location of the sampling which agreed with TOPAS simulation results within 1.6%. The RSPs of metals from CMAP perturbation measurements were determined as 1.97, 2.98, and 5.44 for Al, Ti and CoCr, respectively, which agreed with TOPAS within 2.3%. RSPs for material composition of a more complex spine phantom yielded 1.096, 1.309 and 1.001 for Acrylic, PEEK and PVC, respectively. In summary, this work has shown a method to accurately characterize RSPs of metal and human materials of CMAP implanted with metals and a complex spine phantom. Using the data obtained by the proposed method, it may be possible to validate RSP maps provided by conventional photon computed tomography techniques. Owing to poor characterization of implant and adjacent human tissues, the presence of metal implants has been shown to be a risk factor for clinical results for proton therapy. In this project we have developed a way of characterizing implant and human materials in terms of water-equivalent thicknesses (WET) and relative stopping power (RSP) using a novel proton counting detector. We tracked each proton using a fast spectral imaging camera AdvaPIX-TPX3 which operated in energy mode measures collected energy per-voxel to derive the deposited energy along the particle track across the voxelated sensor. We considered three scenarios: sampling of WET of a CIRS M701 Adult Phantom (CMAP) at different locations; measurements of energy perturbations in the CMAP implanted with metal rods; sampling of WET of a more complex spine phantom. WET and RSP information were extracted from energy spectra at position along the central axis by using the shift in the most probable energy (MPE) from the reference energy (either initial incident energy or energy without a metal implant). Measurements were compared to TOPAS simulation results. Measured WET of the CMAP ranged from 18.63 to 25.23 cm depending on the location of the sampling which agreed with TOPAS simulation results within 1.6%. The RSPs of metals from CMAP perturbation measurements were determined as 1.97, 2.98, and 5.44 for Al, Ti and CoCr, respectively, which agreed with TOPAS within 2.3%. RSPs for material composition of a more complex spine phantom yielded 1.096, 1.309 and 1.001 for Acrylic, PEEK and PVC, respectively. In summary, this work has shown a method to accurately characterize RSPs of metal and human materials of CMAP implanted with metals and a complex spine phantom. Using the data obtained by the proposed method, it may be possible to validate RSP maps provided by conventional photon computed tomography techniques.

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