Mr. Derek J. Doss Profile

Derek J. Doss

at Vanderbilt Univ

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Author

Publications (4)

Proceedings Article | 2 April 2024 Presentation + Paper

Investigating interactions between subcortical structure, fMRI vigilance signals, and cognition in healthy and pathological aging

Kate Wang, Sarah Goodale, Derek Doss, Deepak Gupta, Katherine Gifford, Kimberly Pechman, Timothy Hohman, Dario Englot, Angela Jefferson, Catie Chang

Proceedings Volume 12930, 129300Q (2024) https://doi.org/10.1117/12.3000729

KEYWORDS: Functional magnetic resonance imaging, Brain, Cognition, Neuroimaging

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Proceedings Article | 8 March 2019 Paper

Quantitative imaging analysis to guide biopsy for molecular biomarkers

Derek Doss, Jon Heiselman, Ma Luo, Logan Clements, Michael Miga, Daniel Brown, Filip Banovac

Proceedings Volume 10951, 109512V (2019) https://doi.org/10.1117/12.2513588

KEYWORDS: Liver, Tumors, Image registration, Biopsy, Image segmentation, Liver cancer, Biological research, Rigid registration, Natural surfaces, Cancer

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Although resection and transplantation are primary curative methods of treatment for hepatocellular carcinoma, many patients are not candidates. In these cases, other treatment methods such as selective internal radiation therapy, chemotherapy, or external beam radiation are used. While these treatments are effective, patient-specific customization of treatment could be beneficial. Recent advances in personalized medicine are making this possible, but often there are multiple phenotypes within a proliferating tumor. While not standard, one could envision a serial longitudinal biopsy approach with more phenotypically-targeted therapeutics if one could detect responding and non-responding regions of tumor over time. This work proposes a method to determine active regions of the tumor that differentially respond to treatment to better guide biopsy for longitudinal personalization of treatment. While PET may serve this purpose, it is not easily used for real-time image guidance, is not effective for many types of tumors, and can be confounded by inflammatory responses. In this work, ten total patients with imaging sequences from before and after treatment were retrospectively obtained. Five of these were selected for analysis based on the total liver volume change. A two-phase alignment process comprised of an intensity-based rigid registration followed by a nonrigid refining process driven by bulk deformation of the organ surface was performed. To assess the accuracy of the registration, two metrics were used for preliminary results. The mean closest point surface distance was used to quantify how well the surfaces of the registered livers match and was found to be 2.65±3.54mm. Anatomical features visible in pre- and post-treatment images were also identified. After registration, the mean Euclidean distance between features was found to be 5.22±4.06mm. To assess potential areas of tumor change, the registered tumor pre- and post-treatment were overlaid.

Proceedings Article | 8 March 2019 Presentation + Paper

The image-to-physical liver registration sparse data challenge

E. Lee Brewer, Logan Clements, Jarrod Collins, Derek Doss, Jon Heiselman, Michael Miga, Chris Pavas, Edward Wisdom

Proceedings Volume 10951, 109511F (2019) https://doi.org/10.1117/12.2513952

KEYWORDS: Liver, Image registration, Surgery, Computed tomography, Finite element methods, Computational modeling

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Proceedings Article | 3 March 2017 Paper

Using an Android application to assess registration strategies in open hepatic procedures: a planning and simulation tool

Derek Doss, Jon Heiselman, Jarrod Collins, Jared Weis, Logan Clements, Sunil Geevarghese, Michael Miga

Proceedings Volume 10135, 101351Z (2017) https://doi.org/10.1117/12.2255976

KEYWORDS: Image registration, Surgery, Liver, Image-guided intervention, Natural surfaces, Soft tissue optics, Tissue optics, Optical tracking, Tissues, Image restoration, Tablets, Rigid registration, Data modeling, Gold, 3D modeling

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