Research Interests
I am a Data Scientist and Diagnostic Imaging Medical Physicist. I completed my PhD in the Carl E. Ravin Advanced Imaging Lab, led by Ehsan Samei.
My doctoral research was focused on new ways to assess the quality of x-ray-based medical imaging. My dissertation, focused on the development and application of novel metrics of medical image quality which are clinically-focused and measured directly from patient images. I am also interested in how we use metrics of quality along with radiation dose to inform and impact clinical practice.
Peer-Reviewed Publications
- Smith, T. B., Abadi, E., Solomon, J., & Samei, E. (2021). Development, validation, and relevance of in vivo low‐contrast task transfer function to estimate detectability in clinical CT images. Medical Physics. https://doi.org/10.1002/mp.15309
- Smith, T. B., Abadi, E., Sauer, T., Fu, W., Solomon, J., & Samei, E. (2021). Development and validation of an automated methodology to assess perceptual in vivo noise texture in liver CT. Journal of Medical Imaging (Bellingham, Wash.), 8(5), 052113. https://doi.org/10.1117/1.JMI.8.5.052113
- Smith, T. B., Solomon, J. B., & Samei, E. (2017). Estimating detectability index in vivo: development and validation of an automated methodology. J. Med. Imag. 5(3) 031403.
- Smith, T. B., Rubin, G. D., Solomon, J. B., Harrawood, B., Choudhury, K. R., & Samei, E. (2018). Local complexity metrics to quantify the effect of anatomical noise on detectability of lung nodules in chest CT imaging. Journal of Medical Imaging, 5(4), 045502.
- Smith, T. B., Zhang, S., Erkanli, A., Frush, D., & Samei, E. (2021). Variability in image quality and radiation dose within and across 97 medical facilities. Journal of Medical Imaging, 8(05), 1–16. https://doi.org/10.1117/1.jmi.8.5.052105
- Smith, T. B., Heil, J., Frush, D. P., & Samei, E. (2021). Clinical concordance with Image Gently guidelines for pediatric computed tomography: a study across 663,417 CT scans at 53 clinical facilities. Pediatric Radiology. https://doi.org/10.1007/s00247-020-04909-5
- Cheng, Y., Smith, T. B., Jensen, C. T., Liu, X., & Samei, E. (2020). Correlation of Algorithmic and Visual Assessment of Lesion Detection in Clinical Images. Acad Radiol. https://doi.org/10.1016/j.acra.2019.07.015
- Cheng, Y., Abadi, E., Smith, T. B., Ria, F., Meyer, M., Marin, D., & Samei, E. (2019). Validation of algorithmic CT image quality metrics with preferences of radiologists. Med. Phys., 46, 4837-4846. https://doi.org/10.1002/mp.13795
- Ria, F., Davis, T. T., Solomon, J. B., Smith, T. B., Frush, D. P., & Samei, E. (2019). Expanding the Concept of Diagnostic Reference Levels to Noise and Dose Reference Levels in CT. American Journal of Roentgenology, 1-6.
- Li, B., Smith, T. B., Choudhury, K. R., Harrawood, B., Ebner, L., Roos, J. E., & Rubin, G. D. (2020). Influence of background lung characteristics on nodule detection with computed tomography. J. Med. Imag. 7(2) 022409. https://doi.org/10.1117/1.JMI.7.2.022409
- Smith, T., Abadi, E., Sauer, T. J., Fu, W., Solomon, J., & Samei, E. (2020). In vivo noise texture estimation: development and validation of an automated methodology. Presented at SPIE Medical Imaging, Houston, TX.
- Smith, T., Ria, F., Heil, J., & Samei, E. (2018). CT Resolution, Noise, and Dose Reference Levels Across a Multi-Center Patient Population. Radiological Society of North America 2018 Scientific Assembly. https://archive.rsna.org/2018/18013805.html
- Ding, A., Smith, T. B., Abadi, E., Ria, F., Wilson, J., & Samei, E. (2017). Robustness and Accuracy of An Automated Solution for Measuring Image Noise, Spatial Resolution, Contrast, and Dose in Clinical CT Images. Presented at AAPM 2017, Denver, CO.
- Smith, T. B., Solomon, J. B., & Samei, E. (2017). In vivo detectability index: development and validation of an automated methodology. Presented at SPIE, Orlando, FL.
- Smith, T., Abadi, E., Ding, A., Ria, F., & Samei, E. (2017). Image Quality Monitoring: Variability in Contrast Enhancement Across a Clinical Population. Presented at AAPM 2017, Denver, CO.
- Fu, W., Sharma, S., Smith, T., Hou, R., Abadi, E., Selvakumaran, V., Tang, R., Lo, J., Segars, W. P., Kapadia, A., Solomon, J. B., Rubin, G. D., & Samei, E. (2019). Multi-organ segmentation in clinical CT for patient-specific image quality and dose metrology. Presented at SPIE Medical Imaging, San Diego, CA.
- Solomon, J. B., Smith, T., Richards, T., Ngo, J., Frush, D., & Samei, E. (2018). A "Self-Driving Car" to Track Clinical Image Quality? Presented at RSNA, Chicago, IL.
- Ria, F., Solomon, J. B., Wilson, J., Zhang, Y., Smith, T., & Samei, E. (2018). Defining CT Noise and Dose Reference Levels From Clinical Patient Populations. Presented at AAPM 2018, Nashville, TN.
- Solomon, J. B., Rubin, G. D., Smith, T. B., Harrawood, B., Choudhury, K. R., & Samei, E. (2017). Development of local complexity metrics to quantify the effect of anatomical noise on detectability of lung nodules in chest CT imaging. Presented at SPIE, Orlando, FL.
- Robins, M., Solomon, J. B., Hoye, J., & Smith, T. B. (2017). Inter-algorithm tumor volumetry comparison of real and 3D simulated lesions in CT. Presented at SPIE, Orlando, FL.
Presented Talks
- T. Smith, E. Abadi, T.J. Sauer, W. Fu, J. Solomon, E. Samei, "In vivo noise texture estimation: development and validation of an automated methodology." presented (oral) at SPIE Medical Imaging, Feb 2020, Houston, TX.
- T. Smith, F. Ria, J. Heil, E. Samei, "CT Resolution, Noise, and Dose Reference Levels Across a Multi-Center Patient Population." Radiological Society of North America 2018 Scientific Assembly and Annual Meeting, November 25 - November 30, 2018, Chicago IL.
- A. Ding, T.B. Smith, E. Abadi, F. Ria, J. Wilson, E. Samei, "Robustness and Accuracy of An Automated Solution for Measuring Image Noise, Spatial Resolution, Contrast, and Dose in Clinical CT Images: Efforts Towards Patient-Specific Quantifications of CT Image Quality and Radiation Dose", presented (talk) at AAPM 2017, Denver, CO