Dr. A. Connor Puett Profile

Dr. A. Connor Puett

at UNC-Chapel Hill

SPIE Involvement:

Author

Publications (14)

Proceedings Article | 7 April 2023 Poster + Paper

Comparing multi-view synthetic radiography derived from tomosynthesis with standard bitewing radiography

Tyler Kay, Christina Inscoe, Connor Puett, Enrique Platin, Angela Broome, Andre Mol, Sally Mauriello, Jianping Lu, Otto Zhou

Proceedings Volume 12463, 124632Z (2023) https://doi.org/10.1117/12.2654045

KEYWORDS: Radiography, Signal to noise ratio, Teeth, Tomosynthesis, Image quality, Image analysis, X-ray sources

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Proceedings Article | 4 April 2022 Poster + Paper

Investigate and optimize a dual-energy cone beam CT with a CNT x-ray source with dual focal spots

Boyuan Li, Derrek Spronk, Yueting Luo, Connor Puett, Christy Inscoe, Don Tyndall, Yueh Lee, Jianping Lu, Otto Zhou

Proceedings Volume 12031, 1203125 (2022) https://doi.org/10.1117/12.2612458

KEYWORDS: X-rays, X-ray sources, Scanners

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Proceedings Article | 4 April 2022 Poster + Paper

Patient-specific scatter-corrected digital chest tomosynthesis in human subjects

Christina Inscoe, Alex Billingsley, Connor Puett, Otto Zhou, Jianping Lu, Yueh Lee

Proceedings Volume 12031, 120313X (2022) https://doi.org/10.1117/12.2611585

KEYWORDS: Chest, Lung, X-ray computed tomography, Image visualization, Image quality, Image enhancement, Visualization, Human subjects, Opacity

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Proceedings Article | 15 February 2021 Presentation + Paper

Preliminary in-vivo imaging evaluation of patient-specific scatter-corrected digital chest tomosynthesis

Christina Inscoe, Alex Billingsley, Connor Puett, A. Cole Burks, Otto Zhou, Jianping Lu, Yueh Lee

Proceedings Volume 11595, 1159524 (2021) https://doi.org/10.1117/12.2582206

KEYWORDS: In vivo imaging, Chest, Lung, Image quality, Computed tomography, Clinical trials, Reconstruction algorithms, Prototyping

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Proceedings Article | 16 March 2020 Paper

Advancing synthetic mammography for stationary digital breast tomosynthesis

Connor Puett, Christina Inscoe, Jianping Lu, Yueh Lee, Otto Zhou

Proceedings Volume 11312, 113125F (2020) https://doi.org/10.1117/12.2549421

KEYWORDS: Digital breast tomosynthesis, Mammography, Image processing, 3D image processing, Digital image processing, Digital mammography, 3D image reconstruction, Modulation transfer functions

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Purpose. Report advances being made in synthetic mammography applied to carbon nanotube-enabled stationary digital breast tomosynthesis (sDBT). Methods. The potential value of adding Laplacian decomposition, feature-enhancement algorithms, and weighted recombination to the tunable forward-projection steps developed previously to generate synthetic mammograms for sDBT was studied in this phantom-based comparison of sDBT to full field digital mammography (FFDM) and moving-source or conventional DBT. Contrast-to-noise ratio (CNR) and the full-width-at-half-maximum (FWHM) of the signal intensity were used to compare the display of microcalcification and mass features in the FFDM image and the synthetic images generated by sDBT and DBT. These findings guided modifications in the sDBT image processing chain, seeking to maximize the display of clinically-important features in the sDBT-based synthetic image. Results. Decomposing each reconstructed image slice into its high, mid, and low-frequency components yielded images emphasizing a different feature of clinical importance: microcalcifications, masses, and background density. Applying feature-enhancement algorithms to these images followed by weighted recombination during forward projection yielded an sDBT-based synthetic image that displayed masses with a higher CNR than the FFDM image and the synthetic image generated by DBT. Additionally, microcalcifications that could be visualized in all three modalities were displayed with a higher CNR in the synthetic images generated by DBT and sDBT compared to the FFDM image. Conclusion. Adding Laplacian decomposition, feature-enhancement, and weighted recombination steps to the image processing chain that generates a synthetic image from information collected by sDBT improved the display of clinicallyimportant features. Advancing the synthetic mammography capability of sDBT is important, as it will help complete the evolution of this promising technology to a viable clinical tool.

Proceedings Article | 16 March 2020 Paper

Displaying information collected by intraoral tomosynthesis as multi-view synthetic radiographs

Connor Puett, Christina Inscoe, Lisa Perrone, Michael Regan Anderson, Laurence Gaalaas, Jianping Lu, Otto Zhou

Proceedings Volume 11312, 113122R (2020) https://doi.org/10.1117/12.2549417

KEYWORDS: Radiography, 3D image reconstruction, 3D image processing, Teeth, Image processing, X-ray sources, Tissues, Image filtering, X-rays

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Proceedings Article | 16 March 2020 Presentation + Paper

Preliminary imaging evaluation of a compact tomosynthesis system for potential point-of-care extremity imaging

Christina Inscoe, Alex Billingsley, Connor Puett, Daniel Nissman, Jianping Lu, Yueh Lee, Otto Zhou

Proceedings Volume 11312, 1131204 (2020) https://doi.org/10.1117/12.2549329

KEYWORDS: Imaging systems, Image quality, Diagnostics, Radiography, X-ray sources, Bone, Point-of-care devices, X-ray imaging

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Proceedings Article | 16 March 2020 Presentation + Paper

Evaluation of patient-specific scatter-corrected digital chest tomosynthesis

Christina Inscoe, Connor Puett, Alex Billingsley, Otto Zhou, Jianping Lu, Yueh Lee

Proceedings Volume 11312, 1131224 (2020) https://doi.org/10.1117/12.2549316

KEYWORDS: Chest, Image quality, 3D image reconstruction, Lung, Heart, Reconstruction algorithms, Imaging systems

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Proceedings Article | 1 March 2019 Paper

Generating synthetic mammograms for stationary 3D mammography

Connor Puett, Christina Inscoe, Jianping Lu, Yueh Lee, Otto Zhou

Proceedings Volume 10948, 1094807 (2019) https://doi.org/10.1117/12.2513017

KEYWORDS: Mammography, Breast, 3D image processing, Image segmentation, Visibility, Digital breast tomosynthesis, Image processing, Algorithm development, Reconstruction algorithms, Modulation transfer functions

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Proceedings Article | 1 March 2019 Paper

Tomosynthesis imaging of the wrist using a CNT x-ray source array

Christina Inscoe, A. Billingsley, C. Puett, S. Feinstein, E. Gunnell, D. Nissman, T. Maetani, R. Draeger, J. Lu, Y. Lee, O. Zhou

Proceedings Volume 10948, 109485F (2019) https://doi.org/10.1117/12.2512906

KEYWORDS: Image resolution, X-ray sources, Radiography, Imaging systems, Visualization, 3D image processing, Point-of-care devices, Imaging devices, Orthopedic imaging, Carbon nanotubes

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Proceedings Article | 9 March 2018 Presentation + Paper

Stationary digital intraoral tomosynthesis: demonstrating the clinical potential of the first-generation system

Connor Puett, Christina Inscoe, Robert Hilton, Andre Mol, Enrique Platin, Jianping Lu, Otto Zhou

Proceedings Volume 10573, 105730E (2018) https://doi.org/10.1117/12.2293722

KEYWORDS: Metals, Teeth, Dental caries, Image processing, X-rays, X-ray sources, Visualization, Imaging systems, Tomography

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Proceedings Article | 9 March 2018 Presentation + Paper

Initial clinical evaluation of gated stationary digital chest tomosynthesis

Yueh Lee, E. Gunnell, Christy Inscoe, Connor Puett, Jianping Lu, Otto Zhou

Proceedings Volume 10573, 105730I (2018) https://doi.org/10.1117/12.2293713

KEYWORDS: Chest, X-rays, Imaging systems, Image quality, Cystic fibrosis, X-ray sources, Gated imaging, Carbon nanotubes

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SPIE Journal Paper | 1 February 2018

Phantom-based study exploring the effects of different scatter correction approaches on the reconstructed images generated by contrast-enhanced stationary digital breast tomosynthesis

Connor Puett, Christina Inscoe, Yueh Ray Lee, Otto Zhou, Jianping Lu

JMI, Vol. 5, Issue 01, 013502, (February 2018) https://doi.org/10.1117/12.10.1117/1.JMI.5.1.013502

KEYWORDS: Digital breast tomosynthesis, Iodine, Breast, Image processing, X-rays, 3D image processing, Image quality, Reconstruction algorithms, Signal attenuation, X-ray imaging

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Proceedings Article | 9 March 2017 Presentation + Paper

Contrast enhanced imaging with a stationary digital breast tomosynthesis system

Connor Puett, Jabari Calliste, Gongting Wu, Christina Inscoe, Yueh Lee, Otto Zhou, Jianping Lu

Proceedings Volume 10132, 1013225 (2017) https://doi.org/10.1117/12.2254348

KEYWORDS: Digital breast tomosynthesis, X-ray sources, Breast, Imaging systems, Dual energy imaging, Spatial resolution, Signal to noise ratio, Carbon nanotubes, Iodine, Image processing, Photovoltaics, Diagnostics, Signal attenuation, Reconstruction algorithms

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Showing 5 of 14 publications

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