10 June 2016 Front Matter: Volume 9847
This PDF file contains the front matter associated with SPIE Proceedings Volume 9847, including the Title Page, Copyright information, Table of Contents, Introduction (if any), and Conference Committee listing.

The papers in this volume were part of the technical conference cited on the cover and title page. Papers were selected and subject to review by the editors and conference program committee. Some conference presentations may not be available for publication. Additional papers and presentation recordings may be available online in the SPIE Digital Library at SPIEDigitalLibrary.org.

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Author(s), “Title of Paper,” in Anomaly Detection and Imaging with X-Rays (ADIX), edited by Amit Ashok, Mark A. Neifeld, Michael E. Gehm, Proceedings of SPIE Vol. 9847 (SPIE, Bellingham, WA, 2016) Six-digit Article CID Number.

ISSN: 0277-786X

ISSN: 1996-756X (electronic)

ISBN: 9781510600881

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Paper Numbering: Proceedings of SPIE follow an e-First publication model. A unique citation identifier (CID) number is assigned to each article at the time of publication. Utilization of CIDs allows articles to be fully citable as soon as they are published online, and connects the same identifier to all online and print versions of the publication. SPIE uses a six-digit CID article numbering system structured as follows:

  • The first four digits correspond to the SPIE volume number.

  • The last two digits indicate publication order within the volume using a Base 36 numbering system employing both numerals and letters. These two-number sets start with 00, 01, 02, 03, 04, 05, 06, 07, 08, 09, 0A, 0B … 0Z, followed by 10-1Z, 20-2Z, etc. The CID Number appears on each page of the manuscript.


Numbers in the index correspond to the last two digits of the six-digit citation identifier (CID) article numbering system used in Proceedings of SPIE. The first four digits reflect the volume number. Base 36 numbering is employed for the last two digits and indicates the order of articles within the volume. Numbers start with 00, 01, 02, 03, 04, 05, 06, 07, 08, 09, 0A, 0B...0Z, followed by 10-1Z, 20-2Z, etc.

Allouche, Genevieve G., 0F

Arguello, Henry, 0Z

Ashok, Amit, 0B, 0F, 0T

Azevedo, Stephen G., 0D

Barlow, Jason, 0P

Bilgin, Ali, 0U

Bosch, Carl, 0P

Bouman, Charles A., 0K

Boyd, Douglas P., 0M

Brady, David J., 06, 0A, 0E, 0R, 0X

Can, Ali, 0J, 0L, 0O

Carin, Lawrence, 0R, 0Y

Champley, Kyle E., 0D

Clarkson, Eric W., 0S, 0U

Coccarelli, David, 0B, 0F, 0Q

Cushing, Johnathan B., 0U

D’Aries, Lawrence J., 0G

Davies, Mike E., 0O

De Man, Bruno, 0J, 0L

Degirmenci, Soysal, 0P

Ely, Austin, 0M

Enyeart, John, 0M

Fritsch, Sebastian, 04

Fu, Lin, 0J, 0L

Gehm, Michael E., 0B, 0F, 0Q

Gong, Qian, 0B, 0F, 0Q

Greenberg, Joel A., 06, 0A, 0B, 0E, 0Q, 0R, 0W, 0X

Griffin, Lewis D., 0N

Haneda, Eri, 0J, 0L

Harvey, T., 02

Hassan, Laila, 0C

Hassan, Mehadi, 0E, 0X

Hayden, Danielle, 0C

Holmgren, Andrew D., 0A, 0R, 0X

Huang, Liang-Chih James, 0B, 0F, 0T

Iniewski, Kris, 0E

Jaccard, Nicolas, 0N

Johnson, Chad, 0M

Kaganovsky, Yan, 0R

Kim, Namho, 0M

Kisner, Sherman J., 0K

Kwon, Junghyun, 0M

Lee, Jongkyu, 0M

Lexa, Michael A., 0O

Liao, Xuejun, 0Y

Lin, Yuzhang, 0B, 0F

Luo, Jiajia, 0J, 0L

MacDonald, C. A., 0C

Mandava, Sagar, 0U

Marquez, Miguel A., 0Z

Martz, Harry E., Jr., 0D

Masoudi, Ahmad, 0H

Mesika, Assaf, 0P

Miller, Eric, 0V

Miller, Stuart R., 0G

Mojica, Edson, 0Z

Morton, Edward J., 0N

Mrozack, Alex, 0Y

Nagarkar, Vivek V., 0G

Neifeld, Mark A., 0H

Odinaka, Ikenna, 0A, 0R, 0X

O’Sullivan, Joseph A., 0P, 0R

Perelli, Alessandro, 0O

Petruccelli, Jonathan C., 0C

Politte, David G., 0P, 0R

Ramani, Sathish, 0J, 0L

Robertson, Rob, 0G

Rogers, Thomas W., 0N

Schlomka, Jens-Peter, 04

Seetho, Issac M., 0D

Singh, Bipin, 0G

Skatter, Sondre, 04, 0K, 0Y

Smith, Jerel A., 0D

Song, Samuel M., 0M

Sridhar, Venkatesh, 0K

Starr-Baier, Sean, 0C

Stoian, Razvan-Ionut, 0B, 0F, 0Q

Tahir, Sajjad, 0C

Thamvichai, Ratchaneekorn, 0H

Tracey, Brian, 0V

Ur Rehman, Mahboob, 0C

Vera, Esteban, 0Q

Wolter, Scott D., 0W

Yuan, Yaoshen, 0V

Zhu, Yunhui, 09

Conference Committee

Symposium Chair

  • David Logan, BAE Systems (United States)

Symposium Co-chair

  • Donald A. Reago Jr., U.S. Army Night Vision & Electronic Sensors Directorate (United States)

Conference Chairs

  • Amit Ashok, College of Optical Sciences, The University of Arizona (United States)

  • Mark A. Neifeld, The University of Arizona (United States)

  • Michael E. Gehm, Duke University (United States)

Conference Program Committee

  • Mark A. Anastasio, Washington University in St. Louis (United States)

  • George Barbastathis, Massachusetts Institute of Technology (United States)

  • Ali Bilgin, The University of Arizona (United States)

  • Eric W. Clarkson, The University of Arizona (United States)

  • Edward D. Franco, Rapiscan Systems Laboratories (United States)

  • Joel A. Greenberg, Duke University (United States)

  • Tim E. Harvey, EMF Corporation (United States)

  • Kris Iniewski, Redlen Technologies (Canada)

  • Eric A. Johnson, SureScan Corporation (United States)

  • Robert R. Muise, Lockheed Martin Missiles and Fire Control (United States)

  • Joseph A. O’Sullivan, Washington University in St. Louis (United States)

  • Lei Tian, University of California, Berkeley (United States)

Session Chairs

  • Opening Remarks and Conference Inauguration

  • Mark A. Neifeld, The University of Arizona (United States)

  • Amit Ashok, College of Optical Sciences, The University of Arizona (United States)

  • Michael E. Gehm, Duke University (United States)

  • Sharene Young, U.S. Dept. of Homeland Security (United States)

  • 1 Keynote and Inaugural Session

    Sharene Young, U.S. Dept. of Homeland Security (United States)

  • 2 X-ray Scatter and Phase Anomaly Imaging and Detection I

    Lei Tian, University of California, Berkeley (United States)

  • 3 X-ray Scatter and Phase Anomaly Imaging and Detection II

    Kris Iniewski, Redlen Technologies (Canada)

  • 4 X-ray Photoabsorption Anomaly Imaging and Detection

    Michael E. Gehm, Duke University (United States)

  • 5 X-ray CT Reconstruction and Exploitation Algorithms I

    Mark A. Neifeld, The University of Arizona (United States)

  • 6 X-ray CT Reconstruction and Exploitation Algorithms II

    Amit Ashok, College of Optical Sciences, The University of Arizona (United States)

  • 7 X-ray System Design/Analysis and Forward-model

    Joseph A. O’Sullivan, Washington University in St. Louis (United States)


We would like to begin by thanking everyone who participated in the inaugural SPIE Anomaly Detection and Imaging with X-Rays (ADIX) conference. It is our hope that this will be the first of many such meetings that can bring together the broad range of expertise/interest characterizing this important discipline. Indeed, this first meeting involved participation by all segments of the community, government, industry, and academia, resulting in a vibrant and intellectually rewarding forum for exchange of ideas.

Although x-ray imaging has its roots in medical imaging, advances in x-ray component technology coupled with the exponential growth in computational capability has fueled the expansion of x-ray imaging to numerous defense and security applications. For example, x-ray based imaging systems are now widely deployed at security checkpoints for explosive and contraband detection at airports, seaports, commercial and military building and installations. Another modern application of x-ray imaging is non-destructive part inspection for industrial and aviation safety. While the application base for X-ray based anomaly detection and imaging continues to grow, the x-ray imaging system architecture (inspired by medical CT) has remained largely unchanged. However, recently non-traditional x-ray imaging architectures and sophisticated post-processing algorithms have begun to emerge which leverage advances in mathematical theory of sampling (e.g. compressive sensing) together with increased exploitation of available signal and task prior information.

Reviewing the collection of excellent talks that were presented at the meeting, it was clear that the conference provided a much needed venue for researchers to address current and future challenges through advances in all aspects of x-ray based anomaly detection and imaging: ranging from component technology, reconstruction and data exploitation algorithms, imaging/sensing system architectures to system performance metrics and novel defense and security applications.

The conference began with a very engaging keynote address [9847-2] by Dr. Eric Houser from the United States Transportation Security Administration (TSA) who described not only the substantial technical challenges associated with explosive threat detection in airports, but also the regulatory, administrative; and ‘ecosystem’ challenges that arise from the combination of government, industry, and academic participants in this important enterprise.

Following the keynote address, the ADIX conference was organized into four Session Topic Areas (STAs), the first of which was X-Ray Scatter and Phase Anomaly Imaging and Detection. A plurality of papers in this STA describe research projects related to novel measurement architectures and reconstruction methods for exploiting Raleigh scattering for materials identification and liquid/low-density threat detection. Taken together these papers illuminate some of the tradeoffs associated with scatter-based x-ray measurements in both the scanning and snapshot modalities. Also in this STA we find several excellent papers on the topic of x-ray phase measurement presenting new ideas about sources, detectors, and phase retrieval algorithms and the information theoretic limits of this novel modality.

The next STA on day one was X-ray Photoabsorption Anomaly Imaging and Detection and these papers described various refinements for improving the performance of dual-energy, multi-energy, multi-angle, and/or adaptive measurements in the photo-absorption modality.

On day two of ADIX we began with the STA X-ray CT Reconstruction and Exploitation Algorithms. The ten papers in this STA described how the latest advances in nonlinear optimization, machine learning, and graphical inference can be applied to all of the modalities discussed during day one. As a testament to the importance of these advanced algorithms, many of these papers describe numerical acceleration to enable real-time operation.

Our last STA was X-ray System Design/Analysis and Forward-model and the six paper in this STA addressed a multitude of important topics related to the rapid simulation of x-ray/matter interaction physics, development and application of system design and decision metrics.

From this brief overview of the papers presented at the inaugural ADIX conference, it was clear that the field of Anomaly Detection and Imaging with X-Rays is currently experiencing significant innovation. The papers included in this volume describe important advances on many of the topics described in our original call for papers such as coded-apertures designs, non-traditional system architectures, coherent and incoherent scatter, phase-contrast based x-ray imaging/sensing systems, adaptive measurement, task-specific system design, and compressive scan geometries for direct and reconstruction-based anomaly detection/estimation.

Amit Ashok

Mark A. Neifeld

Michael E. Gehm

© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
} "Front Matter: Volume 9847", Proc. SPIE 9847, Anomaly Detection and Imaging with X-Rays (ADIX), 984701 (10 June 2016); doi: 10.1117/12.2244794; https://doi.org/10.1117/12.2244794

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