Dr. Nadav Shapira Profile

Dr. Nadav Shapira

at Univ of Pennsylvania

SPIE Involvement:

Author

Publications (19)

Proceedings Article | 1 April 2024 Presentation + Paper

Hybrid spectral CT system with clinical rapid kVp-switching x-ray tube and dual-layer detector for improved iodine quantification

Olivia Sandvold, Roland Proksa, Heiner Daerr, Amy Perkins, Kevin Brown, Nadav Shapira, Thomas Koehler, J. Webster Stayman, Grace Gang, Ravindra Manjeshwar, Peter Noël

Proceedings Volume 12925, 129251K (2024) https://doi.org/10.1117/12.3006451

KEYWORDS: Iodine, X-rays, X-ray computed tomography, Imaging systems

Read Abstract +

Proceedings Article | 7 April 2023 Poster + Paper

PixelPrint: a collection of three-dimensional printed CT phantoms of different respiratory diseases

Kai Mei, Leonid Roshkovan, Pouyan Pasyar, Nadav Shapira, Grace Gang, J. Webster Stayman, Michael Geagan, Peter Noël

Proceedings Volume 12463, 124633Q (2023) https://doi.org/10.1117/12.2654343

KEYWORDS: Lung, Computed tomography, Pulmonary disorders, Printing, Windows, X-ray computed tomography, Image resolution, Attenuation, Tissues, Histograms

Read Abstract +

Proceedings Article | 7 April 2023 Poster + Paper

Development of a spatial-spectral phantom for evaluation of vascular CT imaging

Martin Rybertt, Leening Liu, Pouyan Pasyar, Nadav Shapira, Harold Litt, Peter Noël

Proceedings Volume 12463, 124631Z (2023) https://doi.org/10.1117/12.2651307

KEYWORDS: Iodine, Spatial resolution, Computed tomography, Diagnostics, Cardiovascular disorders, Scanners, Arteries, X-ray computed tomography, Spectral density, Design and modelling, Photon counting, Spectral computed tomography

Read Abstract +

Proceedings Article | 7 April 2023 Presentation + Paper

A dense search challenge phantom fabricated with pixel-based 3D printing for precise detectability assessment

Scott Hsieh, Kai Mei, Nadav Shapira, Picha Shunhavanich, J. Webster Stayman, Cynthia McCollough, Grace Gang, Shuai Leng, Michael Geagen, Lifeng Yu, Peter Noël

Proceedings Volume 12463, 124631D (2023) https://doi.org/10.1117/12.2654336

KEYWORDS: 3D printing, Target detection, Scanners, Reconstruction algorithms, Computed tomography

Read Abstract +

Proceedings Article | 7 April 2023 Presentation + Paper

Spectral CT thermometry with improved temperature sensitivity for image-guided thermal ablation

Leening Liu, Rizza Pua, Derick Rosario-Berrios, Olivia Sandvold, Kevin Brown, Grace Gang, Michael Soulen, Nadav Shapira, Peter Noël

Proceedings Volume 12463, 124630P (2023) https://doi.org/10.1117/12.2649111

KEYWORDS: Denoising, Thermometry, Ablation, Computed tomography, Tumors

Read Abstract +

Proceedings Article | 18 October 2022 Open Access

Non-invasive real-time thermometry via spectral CT physical density quantifications

Nadav Shapira, Leening Liu, Rizza Pua, Derick Rosario, Johoon Kim, David Cormode, Gregory Nadolski, Matthew Hung, Michael Soulen, Peter Noël

Proceedings Volume 12304, 1230404 (2022) https://doi.org/10.1117/12.2647018

KEYWORDS: Thermometry, Computed tomography, Liver, Liver cancer, X-rays

Read Abstract +

DOWNLOAD PAPER

Proceedings Article | 18 October 2022 Open Access

PixelPrint: three-dimensional printing of patient-specific soft tissue and bone phantoms for CT

Kai Mei, Michael Geagan, Nadav Shapira, Leening Liu, Pouyan Pasyar, Grace Gang, J. Webster Stayman, Peter Noël

Proceedings Volume 12304, 123042G (2022) https://doi.org/10.1117/12.2647008

KEYWORDS: X-ray computed tomography, Computed tomography, Bone, 3D printing, Printing, Tissues, Calibration, Signal attenuation, Scanners, Collimation

Read Abstract +

DOWNLOAD PAPER

Proceedings Article | 18 October 2022 Open Access

Mixed coronary plaque characterization with the first clinical dual-source photon-counting CT scanner: a phantom study

Thomas Wesley Holmes, Leening Liu, Nadav Shapira, Elliot McVeigh, Harold Litt, Amir Pourmorteza, Peter Noël

Proceedings Volume 12304, 123041U (2022) https://doi.org/10.1117/12.2647009

KEYWORDS: Computed tomography, Scanners, Image quality standards, Spatial resolution, Image resolution, CT reconstruction, Image quality, Reconstruction algorithms, Radiology, Model-based design, Photon counting

Read Abstract +

DOWNLOAD PAPER

Proceedings Article | 18 October 2022 Open Access

Dual-source photon-counting CT: consistency in spectral results at different acquisition modes and heart rates

Leening Liu, Nadav Shapira, Pooyan Sahbaee, Harold Litt, Marcus Chen, Peter Noël

Proceedings Volume 12304, 123040I (2022) https://doi.org/10.1117/12.2646718

KEYWORDS: Spectral computed tomography, Photon counting, Heart, Iodine, X-ray computed tomography, Computed tomography, Radiology

Read Abstract +

DOWNLOAD PAPER

Proceedings Article | 4 April 2022 Presentation + Paper

Real-time spectral CT thermometry via physical density for image-guided tumor ablation

Leening Liu, Matthew Hung, Michael Soulen, Peter Noël, Nadav Shapira

Proceedings Volume 12031, 120311B (2022) https://doi.org/10.1117/12.2608743

KEYWORDS: Temperature metrology, Thermometry, Tissues, Computed tomography, Tumors, Safety, X-ray computed tomography

Read Abstract +

Proceedings Article | 4 April 2022 Presentation + Paper

PixelPrint: three-dimensional printing of realistic patient-specific lung phantoms for CT imaging

Nadav Shapira, Kevin Donovan, Kai Mei, Michael Geagan, Leonid Roshkovan, Harold Litt, Grace Gang, Web Stayman, Russell Shinohara, Peter Noël

Proceedings Volume 12031, 120310N (2022) https://doi.org/10.1117/12.2611805

KEYWORDS: Computed tomography, Lung, Printing, Signal attenuation, Image segmentation, 3D printing, 3D modeling, Spatial resolution, 3D image processing, Manufacturing

Read Abstract +

Proceedings Article | 4 April 2022 Poster

Displacement retrieval for speckle-based X-ray phase-contrast imaging using a convolutional neural network

Serena Shi, Nadav Shapira, Peter Noël, Sebastian Meyer

Proceedings Volume 12032, 1203225 (2022) https://doi.org/10.1117/12.2608352

KEYWORDS: X-rays, X-ray imaging, Convolutional neural networks, Speckle imaging, Speckle pattern, Speckle, X-ray optics, Modulation, Detection and tracking algorithms, Tissue optics

Read Abstract +

SPIE Journal Paper | 31 January 2022

Hepatic dual-contrast CT imaging: slow triple kVp switching CT with CNN-based sinogram completion and material decomposition

Wenchao Cao, Nadav Shapira, Andrew Maidment, Heiner Daerr, Peter B. Noël

JMI, Vol. 9, Issue 01, 014003, (January 2022) https://doi.org/10.1117/12.10.1117/1.JMI.9.1.014003

KEYWORDS: Switching, X-ray computed tomography, Iodine, Gadolinium, Computed tomography, Sensors, Liver, Scanners, Image processing, X-rays

Read Abstract +

Purpose: Dual-contrast protocols are a promising clinical multienergy computed tomography (CT) application for focal liver lesion detection and characterization. One avenue to enable multienergy CT is the introduction of photon-counting detectors (PCD). Although clinical translation is highly desired because of the diagnostic benefits of PCDs, it will still be a decade or more before they are broadly available. In our work, we investigated an alternative solution that can be implemented on widely used conventional CT systems (single source and integrating detector) to perform multimaterial spectral decomposition for dual-contrast imaging. Approach: We propose to slowly alternate the x-ray tube voltage between 3 kVp levels so each kVp level covers a few degrees of gantry rotation. This leads to the challenge of sparsely sampled projection data in each energy level. Performing the material decomposition (MD) in the sinogram domain is not directly possible as the projection images of the three energy levels are not angularly aligned. In order to overcome this challenge, we developed a convolutional neural network (CNN) framework for sparse sinogram completion (SC) and MD. To evaluate the feasibility of the slow kVp switching scheme, simulation studies of an abdominal phantom, which included liver lesions, were conducted. Results: The line-integral SC network yielded sinograms with a pixel-wise RMSE < 0.05 of the line-integrals compared to the ground truth. This provided acceptable image quality up to a switching angle of 9 deg per kVp. The MD network we developed allowed us to differentiate iodine and gadolinium in the sinogram domain. The average relative quantification errors for iodine and gadolinium were below 10%. Conclusions: We developed a slow triple kVp switching data acquisition scheme and a CNN-based data processing pipeline. Results from a digital phantom validation illustrate the potential for future applications of dual-contrast agent protocols on practically available single-energy CT systems.

Proceedings Article | 15 February 2021 Presentation + Paper

Accurate physical density assessments from clinical spectral results

Matthew Hwang, Harold Litt, Peter Noël, Nadav Shapira

Proceedings Volume 11595, 115951B (2021) https://doi.org/10.1117/12.2581748

KEYWORDS: Tissues, Liver, Switching, Signal attenuation, Manufacturing, Iodine, Diagnostics, Computed tomography, Clinical trials, Breast imaging

Read Abstract +

Proceedings Article | 15 February 2021 Presentation + Paper

Dual-contrast decomposition of dual-energy CT using convolutional neural networks

Nadav Shapira, Wenchao Cao, Leening Liu, Tim Leiner, Maarten L. Smits, Peter Noël

Proceedings Volume 11595, 115951D (2021) https://doi.org/10.1117/12.2581333

KEYWORDS: Convolutional neural networks, Liver, Computed tomography, Network architectures, Magnetic resonance imaging, Iodine, Gadolinium, Feature extraction, Diagnostics, Computer simulations

Read Abstract +

Proceedings Article | 15 February 2021 Poster + Presentation + Paper

Quantitative stability with patient size, dose, and kVp in spectral detector CT for pediatric imaging

Leening Liu, Nadav Shapira, Kai Mei, Peter Noël

Proceedings Volume 11595, 115952S (2021) https://doi.org/10.1117/12.2581059

KEYWORDS: Computed tomography, Sensors, Tissues, Material characterization, Image quality, Image enhancement, Dual energy imaging

Read Abstract +

Proceedings Article | 15 February 2021 Presentation + Paper

Positron emission tomography attenuation correction with dual energy CT electron density maps in the presence of iodinated contrast media

Leening Liu, Nadav Shapira, Joshua Scheuermann, Amy Perkins, Johoon Kim, Joel Karp, Peter Noël

Proceedings Volume 11595, 115950Z (2021) https://doi.org/10.1117/12.2579722

KEYWORDS: Signal attenuation, Positron emission tomography, Dual energy imaging, Computed tomography, Tissues, Iodine

Read Abstract +

Proceedings Article | 15 February 2021 Poster + Presentation + Paper

GAN-based sinogram completion for slow triple kVp switching CT

Wenchao Cao, Nadav Shapira, Peter Noël

Proceedings Volume 11595, 115952O (2021) https://doi.org/10.1117/12.2580735

KEYWORDS: Switching, Sensors, Photodetectors, Modulation, Image quality, Gallium nitride, Computer simulations

Read Abstract +

Proceedings Article | 16 March 2020 Paper

Benefit of dual energy CT for lesion localization and classification with convolutional neural networks

Nadav Shapira, Julia Fokuhl, Manuel Schultheiß, Stefanie Beck, Felix Kopp, Daniela Pfeiffer, Julia Dangelmaier, Gregor Pahn, Andreas Sauter, Bernhard Renger, Alexander Fingerle, Andrew D. Maidment, Ernst Rummeny, Shadi Albarqouni, Nassir Navab, Peter Noël

Proceedings Volume 11312, 113121Q (2020) https://doi.org/10.1117/12.2549291

KEYWORDS: Liver, Iodine, Computed tomography, Image segmentation, Convolutional neural networks, Dual energy imaging, Diagnostics, X-ray computed tomography, Medicine, Image classification

Read Abstract +

Showing 5 of 19 publications

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years