Dr. Daniel L. J. Thorek Profile

Dr. Daniel L. J. Thorek

at Washington Univ School of Medicine

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Author

Publications (4)

Proceedings Article | 1 April 2024 Presentation + Paper

WIN-PDQ: a Wiener-estimator-based projection-domain quantitative SPECT method that accounts for intra-regional uptake heterogeneity

Zekun Li, Nadia Benabdallah, Daniel L. Thorek, Abhinav Jha

Proceedings Volume 12925, 1292512 (2024) https://doi.org/10.1117/12.3006569

KEYWORDS: Single photon emission computed tomography, Therapeutics, Covariance matrices, Estimation theory, Mathematical optimization, Radium

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Single photon emission computed tomography (SPECT) can enable the quantification of activity uptake in lesions and at-risk organs in α-particle-emitting radiopharmaceutical therapies (α-RPTs). However, this quantification is challenged by the extremely low detected photon counts, complicated isotope physics, and the image-degrading effects in α-RPT SPECT. Thus, strategies to optimize the SPECT system and protocol designs for the task of regional uptake quantification are much needed. Objectively performing this task-based optimization requires a reliable (accurate and precise) regional uptake quantification method. Conventional reconstruction-based quantification (RBQ) methods have been observed to be erroneous for α-RPT SPECT. Projection-domain quantification methods, which estimate regional uptake directly from SPECT projections, have demonstrated potential in providing reliable regional uptake estimates, but these methods assume constant uptake within the regions, an assumption that may not hold. To address these challenges, we propose Wiener INtegration Projection-Domain Quantification (WIN-PDQ), a Wiener-estimator-based projection-domain quantitative SPECT method. The method accounts for the heterogeneity within the regions of interest while estimating mean uptake. An early-stage evaluation of the method was conducted using 3D Monte Carlo-simulated SPECT of anthropomorphic phantoms with ²²³Ra uptake and lumpy-model-based intra-regional uptake heterogeneity. In this evaluation with phantoms of varying mean regional uptake and intra-regional uptake heterogeneity, the WIN-PDQ method yielded ensemble unbiased estimates and significantly outperformed both reconstruction-based and previously proposed projection-domain quantification methods in terms of normalized root ensemble mean squared error. In conclusion, based on these preliminary findings, the proposed WIN-PDQ method is showing potential for estimating mean regional uptake in α-RPTs and towards enabling the objective task-based optimization of SPECT system and protocol designs.

Proceedings Article | 7 April 2023 Presentation + Paper

Interpretable graph convolutional network enables triple negative breast cancer detection in imaging mass cytometry

Peng Lu, Karolyn Oetjen, Daniel L. Thorek

Proceedings Volume 12471, 124710C (2023) https://doi.org/10.1117/12.2653138

KEYWORDS: Education and training, Diagnostics, Breast cancer, Multiplexing, Cancer detection, Tumors, Machine learning

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SPIE Journal Paper | 10 April 2017 Open Access

Listening to membrane potential: photoacoustic voltage-sensitive dye recording

Haichong Zhang, Ping Yan, Jeeun Kang, Diane Abou, Hanh N. Le, Abhinav Jha, Daniel L. Thorek, Jin Kang, Arman Rahmim, Dean Wong, Emad Boctor, Leslie Loew

JBO, Vol. 22, Issue 04, 045006, (April 2017) https://doi.org/10.1117/12.10.1117/1.JBO.22.4.045006

KEYWORDS: Luminescence, Absorbance, Photoacoustic spectroscopy, Voltage sensitive dyes, Brain, Ultrasonography, Neuroimaging, Quantum efficiency, Chromophores, Polarization

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Proceedings Article | 22 March 2017 Presentation + Paper

Recording membrane potential changes through photoacoustic voltage sensitive dye

Haichong Zhang, Jeeun Kang, Ping Yan, Diane Abou, Hanh N. Le, Daniel L. Thorek, Jin Kang, Albert Gjedde, Arman Rahmim, Dean Wong, Leslie Loew, Emad Boctor

Proceedings Volume 10064, 1006407 (2017) https://doi.org/10.1117/12.2252442

KEYWORDS: Photoacoustic spectroscopy, Voltage sensitive dyes, Photoacoustic imaging, Deep tissue imaging, Near infrared, Ultrasonography, Brain, Absorbance, Quantum efficiency, Neuroimaging, Chromophores

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