Dr. William W. Boonn Profile

Dr. William W. Boonn

Chief, 3D and Advanced Imaging at Univ of Pennsylvania Health System

SPIE Involvement:

Editor | Author

Proceedings Article | 29 March 2013 Paper

How inaccurate is weight as a metric for patient size? Comparing patient weight to effective diameter for size-specific dose estimation

Tessa Cook, Seetharam Chadalavada, William Boonn

Proceedings Volume 8674, 867408 (2013) https://doi.org/10.1117/12.2006132

KEYWORDS: Chest, Abdomen, Computed tomography, Scanners, Tissues, Radiation effects, X-ray computed tomography, X-ray imaging, X-rays, Digital Light Processing

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Proceedings Article | 16 February 2012 Paper

Implementation and application of an interactive user-friendly validation software for RADIANCE

Anand Sundaram, William Boonn, Woojin Kim, Tessa Cook

Proceedings Volume 8319, 83190C (2012) https://doi.org/10.1117/12.911105

KEYWORDS: Databases, Digital Light Processing, Scanners, Optical character recognition, X-ray computed tomography, Error analysis, Interfaces, Computed tomography, Image processing, Data storage

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Proceedings Article | 25 March 2011 Paper

The role of GPU computing in medical image analysis and visualization

S. Moulik, W. Boonn

Proceedings Volume 7967, 79670L (2011) https://doi.org/10.1117/12.880093

KEYWORDS: Visualization, Image segmentation, Medical imaging, Data modeling, Bone, Computing systems, 3D image processing, Detection and tracking algorithms, Image analysis, Image processing

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Proceedings Article | 25 March 2011 Paper

Automated breast imaging-reporting and data system (BI-RADS) category 3 follow-up application: improving patient care and compliance

Praveena Kandula, T. Cook, W. Boonn, W. Kim

Proceedings Volume 7967, 79670B (2011) https://doi.org/10.1117/12.880467

KEYWORDS: Mammography, Radiology, Medicine, Breast cancer, Breast, Mining, Imaging systems, Databases, Telecommunications, Medical imaging

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Proceedings Article | 25 March 2011 Paper

Development of automated detection of radiology reports citing adrenal findings

Jason Zopf, Jessica Langer, William Boonn, Woojin Kim, Hanna Zafar

Proceedings Volume 7967, 79670A (2011) https://doi.org/10.1117/12.881252

KEYWORDS: Radiology, Databases, Kidney, Detector development, Detection and tracking algorithms, Mining, Genetic algorithms, Computed tomography, Spleen, Data mining

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Proceedings Article | 25 March 2011 Paper

Utility of rapid database searching for quality assurance: 'detective work' in uncovering radiology coding and billing errors

Steven Horii, Woojin Kim, William Boonn, Christopher Iyoob, Keith Maston, Beverly Coleman

Proceedings Volume 7967, 796705 (2011) https://doi.org/10.1117/12.878816

KEYWORDS: Ultrasonography, Radiology, Databases, Composites, Doppler effect, Picture Archiving and Communication System, Head, Abdomen, Medical imaging, Error analysis

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Proceedings Article | 17 March 2011 Paper

An algorithm for intelligent sorting of CT-related dose parameters

Tessa Cook, Stefan Zimmerman, Scott Steingal, William Boonn, Woojin Kim

Proceedings Volume 7961, 79612H (2011) https://doi.org/10.1117/12.877506

KEYWORDS: Chest, Digital Light Processing, Computed tomography, Abdomen, Head, Spine, Angiography, Neck, Picture Archiving and Communication System, Databases

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Proceedings Article | 12 March 2010 Paper

Analyzing how radiologists recommend follow-up: toward development of an automated tracking and feedback system for clinical, laboratory, and radiologic studies

T. Cook, J. Itri, W. Boonn, W. Kim

Proceedings Volume 7628, 76280S (2010) https://doi.org/10.1117/12.845971

KEYWORDS: Medical imaging, Imaging informatics, Current controlled current source, Chromium, Computed tomography, Magnetic resonance imaging, Positron emission tomography, Mining, Automatic tracking, Pathology

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Proceedings Article | 11 March 2010 Paper

Evaluation of an open source tool for indexing and searching enterprise radiology and pathology reports

Woojin Kim, William Boonn

Proceedings Volume 7628, 762806 (2010) https://doi.org/10.1117/12.846772

KEYWORDS: Radiology, Pathology, Databases, Data mining, Clinical research, Analytical research, Decision support systems, Data analysis, Computing systems, Human-machine interfaces

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Proceedings Article | 21 March 2007 Paper

Volumetric measurements of pulmonary nodules: variability in automated analysis tools

Krishna Juluru, Woojin Kim, William Boonn, Tara King, Khan Siddiqui, Eliot Siegel

Proceedings Volume 6516, 651613 (2007) https://doi.org/10.1117/12.711642

KEYWORDS: Lung, Computed tomography, Visualization, Medicine, Document management, Lung cancer, Picture Archiving and Communication System, Tumors, Medical imaging, Image visualization

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Proceedings Article | 8 March 2006 Paper

Impact of volumetric ultrasound on PACS

Steven Horii, Alberto Goldszal, Regina Redfern, Beverly Coleman, Jill Langer, Dan Morton, Susan Rowling, William Boonn, Christopher Iyoob

Proceedings Volume 6145, 614512 (2006) https://doi.org/10.1117/12.657135

KEYWORDS: Ultrasonography, Picture Archiving and Communication System, Doppler effect, Radiology, Diagnostics, Data storage, Surgery, 3D image processing, Color imaging, Databases

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The purpose of this study was to determine if the size of ultrasound examinations was increasing over time. The primary reasons for this are believed to be an increased number of images per study, the incorporation of "cine loops", and increased use of color flow Doppler. The result of this study, if it supports the hypothesis that ultrasound study size is increasing, would be directly applicable to planning for future expansion of storage in the Ultrasound PACS. Data were obtained from the ultrasound PACS server for number of studies, number of images, and total stored volume for sampled months (January and July of 2003 - 2006). The investigators believed that these months would provide a reasonable sample of study size as examination types did not vary significantly from month to month (based on Departmental statistics). The Radiology Department's information system (RIS) was used to determine total yearly ultrasound examination volume to determine the trend over time. Because no protected health information (PHI) was to be used in this study, the investigators believed that no IRB approval was necessary. The number of studies done per month was more variable than the investigators had believed. One month in particular (July, 2003) had an anomalously large number of studies. However, despite this, computations of the number of images per study, the total data volume per study, and the average amount of data per image did show an increasing trend as expected. Also, the total volume of data stored showed an increasing trend over the study time period. The investigators' hypothesis that examination size is increasing has been demonstrated to be true for the months sampled. From Departmental data, the investigators know that the most recent ultrasound yearly volume increased approximately ten percent over the previous year, and that trend was also seen for the study period (from 7-10 percent per year increase in volume). With the information that the examination size is also increasing, the Department can make better plans for future expansion of the Ultrasound PACS storage system. Ultrasound examination size is increasing, largely because of the increased use of cine loops. A change to using more of these to replace single static images will further increase examination size.