People

August 2019 - I-STAR 10-Year Anniversary Party July 2019 - AAPM Annual Meeting, AIAI and friends July 2019 June 2019 - Fully3D Meeting May 2019 - Steve Tilley II, PhD Hooding February 2019 - Wenying Wang wins Robert F. Wagner Award August 2018 July 2018 - Dr. Gang wins Jack Fowler Award May 2018 February 2018 February 2018 - Andrew Mao wins Robert F. Wagner Award July 2017 June 2017 - Fully3D Meeting Xi'an February 2017 - SPIE Medical Imaging September 2016 July 2016 May 2016

Principal Investigator

webJ. Webster Stayman, PhD is an Associate Professor in the Biomedical Engineering Department and Principle Investigator of the AIAI Lab. His research interests have included tomographic reconstruction for emission and transmission tomography, statistical reconstruction approaches, regularization design, prior-image-based reconstruction,  cone-beam CT (CBCT) modeling and analysis, optical system modeling and analysis, test bench construction, instrumentation, physical experimentation, and task-driven and adaptive acquisitions. Google Scholar Publications

Faculty Collaborators

graceGrace Jianan Gang, PhD is a Research Assistant Professor in the Biomedical Engineering Department. She leads research in the AIAI Lab in task-based optimization to help design novel acquisition approaches and reconstruction methods for CT and CBCT. Her research interests also include the development and analysis of advanced reconstruction methods that integrate prior image information. Google Scholar Publications
Congratulations to Grace on winning the AAPM 2018 Jack Fowler Junior Investigator Award

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Postdoctoral Fellows

andrewlAndrew Fwu Tay Leong is a Postdoctoral Fellow in Biomedical Engineering at Johns Hopkins University. He is working on advanced methods for low-scatter imaging and sparse CT data collection.
Google Scholar Publications

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Current Students (alphabetical)

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Jessica Flores is a PhD student in Biomedical Engineering at Johns Hopkins University. She is looking at low-dose CT for imaging of lung cancer including prior-image methods and strategies to ensure robust performance.

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Junyuan Li is a Master’s student in Biomedical Engineering at Johns Hopkins. He is working on the development of various methods for CT image quality assessment including 3D printing of texture phantoms and observer studies.

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Stephen Liu is a PhD student in Biomedical Engineering at Johns Hopkins University. He conducts research in the AIAI laboratory and with Dr. Wojtek Zbijewski. His work involves development of methods for high-fidelity quantitative bone health metrics in the presence of metal implants including advanced reconstruction methods and spectral CT imaging.

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Quinn (Yiqun) Ma is a PhD student in Biomedical Engineering at Johns Hopkins University. He is studying novel acquisition methods for interventional cone-beam CT.

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Amalie Shi is a Master’s student in Biomedical Engineering at Johns Hopkins. She is working on the development of new phantoms for CT image quality assessment.

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Matthew Tivnan is a PhD student in Biomedical Engineering at Johns Hopkins University. His research in the AIAI laboratory involves novel methods for collecting and processing spectral CT data for multiple material decomposition. Google Scholar Publications

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Wenying Wang is a PhD student in Biomedical Engineering at Johns Hopkins University. Her studies involve advanced acquisition and reconstruction methods for computed tomography including dynamic beam modulation and analysis of imaging properties in CT, cone-beam CT, and spectral CT systems. Google Scholar Publications
Congratulations to Wenying on winning the SPIE 2019 Robert F. Wagner Best Paper Award!!!

AIAI Alumni (reverse chronological)

Zen Gordon was a 2019 summer intern in the AIAI Laboratory and part of Johns Hopkins SARE program for high school students. During his summer in the AIAI Lab, Zen performed experiments for the development of a new spectral CT system.

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Eva Mammen was a 2019 summer intern in the AIAI Laboratory. During her summer in the AIAI Lab, Eva learned how to apply Fourier optics to model a microscope and learn about Fourier ptychography.

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Gabriela Rodal graduated from the Master’s program in Biomedical Engineering at Johns Hopkins University in Spring 2019. She was previously working on advanced data acquisition and reconstruction methods for imaging around metal implants.

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steveSteven Tilley II obtained his PhD in Biomedical Engineering at Johns Hopkins University in January 2019. His research in the AIAI laboratory involved the high-fidelity modeling of flat-panel CT systems including focal spot blurs, detector blur and correlations, and other physical effects particular to flat-panel systems. These sophisticated models are integrated into elements that are often ignored in model-based reconstruction algorithms to achieve improved imaging performance (e.g. ultra-high spatial resolution images). Google Scholar Publications

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Xueqi Guo was a student intern for Summer 2018 from Shanghai Jiao Tong University. She investigated machine learning methods for denoising CT images.

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Kailun Cheng is a Master’s student in Data Science at Johns Hopkins University. She was working closely with Dr. Gang on applying machine learning methods for the analysis of CT reconstruction.

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Jalen Cooke was a 2018 summer intern in the AIAI Laboratory and part of Johns Hopkins SARE program for high school students. During his summer in the AIAI Lab, Jalen developed a methodology to 3D print CT phantoms emulating contrast-enhanced vascular trees.

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DSC_7129Hao Zhang, PhD was a postdoctoral fellow in the AIAI Laboratory and is now at Stanford University doing a clinical medical physics residency. While in the AIAI Lab, he led research on prior-image-based reconstruction methods including cross-modality integration of anatomical information, region-of-difference reconstruction, and analytic methods for assessment of change admission/information propagation. Applications included CBCT reconstruction with CT prior images and variants with rigid and deformable registration. Google Scholar Publications

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Andrew Mao was a Master’s student in Biomedical Engineering at Johns Hopkins University, graduating in Summer 2018. He was working on the development of beam modulation techniques for dynamic fluence-field modulation in x-ray CT. He is now in the MD/PhD program at New York University.
Congratulations to Andrew on winning the SPIE 2018 Robert F. Wagner Best Paper Award!!!

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Lorenz Hehn is a PhD student at the Technical University of Munich (TUM) and was a visiting scholar in the AIAI laboratory in Spring 2018. During his stay in the AIAI laboratory he was involved with the development and investigation of blind deconvolution methods for estimating system blur for cone-beam computed tomography.

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Nischita Kaza was a visiting undergraduate student from the National Institute of Technology, Karnataka in Summer 2017. She worked on the development of a Fourier Ptychography system for wide-field high-resolution microscopy.

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Tymeka Hill Adams was a 2017 summer intern in the AIAI Laboratory and part of Johns Hopkins SARE program for high school students. Her summer research involved the quantitative assessment of bone health in extremities imaging.

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HaoHao Dang obtained his PhD candidate in Biomedical Engineering in Spring 2017. Hao was jointly advised by Drs. Siewerdsen and Stayman and his research spanned projects in both the AIAI and I-STAR laboratories. His research involved the design and optimization of model-based reconstruction methods. His work has included the development of new prior-image-based reconstruction methods and the optimization of regularization strategies based on rigorous mathematical definitions of imaging task (e.g. dectectability index). Hao is currently a research scientist at Philips Healthcare.Google Scholar Publications

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esmeEsme Zhang obtained her Master’s degree in Biomedical Engineering at Johns Hopkins University in Summer 2016. Her research included the development of models and reconstruction methods for multi-row dectector cardic CT including the application of motion correction methods and known-component reconstruction methods for cardiac implants (e.g. pacing leads, catheters, etc.). Esme is currently continuing CT research on reconstruction and translation in the I-STAR lab in the BME PhD program.

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aswinAswin Mathews, PhD was a postdoctoral fellow in the AIAI Laboratory from January 2015-January 2017. His research was on novel methods for fluence-field modulation in x-ray CT including the modeling, design, optimization, fabrication, and control of multiple binary filters to achieve desired spatial distributions of x-ray fluence. Aswin is currently working at GE Healthcare. Google Scholar Publications

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SaeedSaeed Sayyedi was a PhD student at the Technical University of Munich (TUM) and a visiting scholar in the AIAI laboratory through the Biomedical Imaging & Informatics – European Research and Training Initiative (BERTI). During his stay in the AIAI laboratory he was involved with the development and investigation of advanced models and reconstruction techniques for liver CT perfusion studies. Saeed is currently pursuing post-doctoral training. Google Scholar Publications

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DSC_7136Chengzhu Zhang was an undergraduate in the Department of Engineering Physics at Tsinghua University. In his 2016 summer internship in the AIAI Laboratory he developed and explored strategies for applying known-component reconstruction for better visualization around metal implants. Specifically, he implemented different strategies for polyenergetic modeling of the energy-dependent effects in both implants and patient anatomy and developed strategies for applying known-component reconstruction when no shape model is available. Chengzhu is currently pursuing a graduate school education at the University of Wisconsin.

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DSC_7126Shavona Dixon was a 2016 summer intern in the AIAI Laboratory and part of Johns Hopkins SARE program for high school students. Her summer research involved the creation of a physical liver phantom for assessment of advanced contrast-enhanced CT methods. In particular, Shavona created digital models of hepatic vasculature and used 3D-printing technology to create accurate and anatomically realistic hepatic artery models that can be filled with CT contrast agents.

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DSC_7123Juliana Carneiro Gomes was a 2016 summer intern in the AIAI Laboratory as part of the Science without Borders program. For her summer research, Juliana investigated acquisition protocols and advanced reconstruction methods for the creation of both very-low-dose 2D topograms and 3D scouts. She collected phantom data and applied model-based reconstruction methods to low exposure data, and made dose measurements using standard dosimetry equipment.

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IMG_4983Xin Bai was in the AIAI lab in 2015-2016 conducting independent research while he was a Master’s Student in the Electrical and Computer Engineering Department at Johns Hopkins University. Xin’s research involved the development of methods for high-resolution radiography – specifically, using multi-frame dealiasing techniques to overcome sampling limitations in flat-panel-based x-ray imaging. He graduated with his Master’s in June 2016.

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amirAmir Pourmorteza was a 2014-2015 postdoctoral fellow in the AIAI Laboratory. His research involved the development and application of prior-image-based reconstruction methods. In particular, he investigated strategies for cross-modality integration of anatomical information for CBCT reconstruction using CT prior images. His efforts led to the development of the Reconstruction of Difference algorithm, which seeks to directly reconstruct anatomical change between subsequent scans, and the development of a new class of prior-image penalty that permits selective incorporation of prior information based on spatial frequency content (avoiding integration of, for example, low-frequency artifacts). Amir is currently an Assistant Professor at Emory University. Google Scholar Publications

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shiyuShiyu Xu was a 2015 postdoctoral fellow in the AIAI Laboratory. His research involved the development and application of known-component reconstruction (KCR) methods for imaging around metallic surgical devices and implants. In particular, he lead the effort to develop a polyenergetic KCR approach for which neither the material composition of the implant nor the energy-dependent aspects of the CT system (e.g. beam quality, detector energy-sensitivity) are known. The methodology was applied in physical CBCT experiments with an implanted cadaveric sample illustrating good visualization of features up the implant/tissue boundary. Shiyu is currently a Researcher at Reflexion. Google Scholar Publications

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