User:Mim.cis/sandbox/Jeff Siewerdsen

Jeffrey Harold Siewerdsen (born 1969) is an American physicist and biomedical engineer who is a Professor of  Biomedical Engineering, Computer Science, Radiology, and Neurosurgery at Johns Hopkins University. He is Co-Director of the Carnegie Center for Surgical Innovation at at Johns Hopkins School of Medicine and is a member of the Malone Center for Engineering in Healthcare. He is among the original inventors of cone-beam CT-guided radiotherapy as well as weight-bearing cone-beam CT for musculoskeletal radiology and orthopedic surgery. His work also includes the early development of flat-panel detectors on mobile C-arms for intraoperative cone-beam CT in image-guided surgery. He developed early models for the signal and noise performance of flat-panel detectors and later extended such analysis to dual-energy imaging and 3D imaging performance in cone-beam CT. His core laboratory at Johns Hopkins University is the I-STAR Lab (Imaging for Surgery, Therapy, and Radiology) in the Department of Biomedical Engineering at the Johns Hopkins Hospital.

Biography and Scientific Work
Jeffrey Siewerdsen did his undergaduate studies at the University of Minnesota in Minneapolis, MN, where he received his Bachelor of Arts degree in Physics and Astrophysics with a minor in Japanese in 1992. His undergraduate research experience included construction and testing of particle detectors for the Soudan 2 proton decay project.

Siewerdsen began graduate studies at the University of Michigan in Ann Arbor, MI, in 1992, working initially in high-energy physics (D0 experiment) under supervision of Professor Homer Neal and earning his Master of Science degree in Physics in 1994.

Siewerdsen's doctoral research involved early development of amorphous silicon Flat panel detector for medical x-ray imaging under the supervision of Professor Larry E. Antonuk. Siewerdsen's work focused on the development of early flat-panel detector systems for diagnostic radiography, fluoroscopy, and mammography as well as megavoltage portal imaging for guidance of radiation therapy. His doctoral dissertation established mathematical models for the signal-to-noise properties (specifically, the modulation transfer function, noise-power spectrum, and detective quantum efficiency) of flat-panel x-ray detectors. His Ph.D. thesis was awarded the Kent M. Terwilliger Prize for Best Doctoral Dissertation in Physics, 1998.

Siewerdsen conducted post-graduate research beginning in 1998 as a Research Scientist at William Beaumont Hospital in Royal Oak, MI, with Dr. David Jaffray and Dr. John Wong on the topic of cone beam computed tomography (CBCT) for image-guided radiation therapy (IGRT). The Beaumont team produced the first IGRT system for CBCT, beginning with laboratory studies to investigate image quality characteristics, and translating to clinical studies for guidance of prostate cancer therapy.

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{Caption: Jeff Siewerdsen and David Jaffray in laboratory at William Beaumont Hospital circa 2000.}

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{Caption: Jeff Siewerdsen with a prototype mobile C-arm for Cone beam computed tomography at William Beaumont Hospital in 2001.}

Siewerdsen joined the Ontario Cancer Institute and University of Toronto Department of Medical Biophysics as a Scientist and Assistant Professor, respectively, in 2002, and subsequently as Senior Scientist and Associate Professor in 2007. Research in his laboratory focused on image-guided surgery, new imaging methods such as dual-energy imaging, and image registration. His work involved the development of early systems for cone beam computed tomography (CBCT) with a flat-panel detector on mobile C-arms for image-guided surgery and translated the first such systems to clinical studies in image-guided otolaryngology-head and neck surgery  with Dr. Jonathan Irish. He also collaborated closely with Dr. Kristy Brock on deformable image registration using the Demons algorithm and with Dr. Narinder Paul on development of dual-energy chest radiography systems for detection of early stage lung cancer. His research also extended cascaded systems models for x-ray imaging performance to describe 3D imaging performance in CBCT and helped to establish mathematical methods for imaging system optimization according to the imaging task.

Siewerdsen joined Johns Hopkins Biomedical Engineering as an Associate Professor in 2009 and subsequently as a Professor in 2012, with cross-appointment in Computer Science, Radiology, and Neurosurgery. He founded the I-STAR Lab (Imaging for Surgery, Therapy, and Radiology) as a collaborative research endeavor bridging biomedical engineering with clinical collaborators at Johns Hopkins Hospital. In 2015, he established the Carnegie Center for Surgical Innovation in the Johns Hopkins School of Medicine. He is also a John C. Malone Professor in Computer Science and Member of the Malone Center for Engineering in Healthcare. Research in Siewerdsen's laboratory includes: mathematical modeling / imaging science of digital x-ray, dual-energy imaging, cone beam computed tomography (CBCT), and computed tomography (CT) systems; image-guided surgery; multi-modality medical image registration;    new imaging systems for musculoskeletal radiology and orthopedic surgery;  and clinical research collaborations in robot-assisted surgery and data science related to medical imaging.

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{Caption: Siewerdsen in the laboratory for image-guided surgery at Johns Hopkins University circa 2011.}

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{Caption: Siewerdsen with a prototype Cone beam computed tomography scanner for extremity imaging at Johns Hopkins University in 2017.}

Notable achievements, scientific awards, and honors associated with Siewerdsen's work include:
 * (2016) Frost & Sullivan Award for New Product Innovation (OnSight 3D Extremity System, collaboration with Carestream Health, Rochester NY
 * (2016) Best New Radiology Device awarded by Aunt Minnie Radiology News (OnSight 3D Extremity System, collaboration with Carestream Health, Rochester NY
 * (2016) Fellow, AIMBE
 * (2013) Spine Technology of the Year awarded by Orthopedics This Week (LevelCheck algorithm for vertebral localization in spine surgery)
 * (2012) Fellow, AAPM
 * (1999) Terwilliger Prize for best doctoral dissertation in Physics

Notable scientific contributions from Siewerdsen's work include:
 * Cone beam computed tomography (CBCT) systems on mobile C-arms for image-guided surgery.
 * Cone beam computed tomography (CBCT) systems for imaging of the weight-bearing foot, ankle, and knee with high spatial resolution and low radiation dose.
 * Cone beam computed tomography (CBCT) systems for image-guided radiation therapy (IGRT).
 * Cone beam computed tomography (CBCT) systems for high-quality, low-dose imaging of intracranial hemorrhage.
 * Influence of x-ray Compton scattering in cone beam computed tomography (CBCT).
 * Image registration methods for minimally invasive spine surgery.
 * Image registration methods for otolaryngology-head and neck surgery.
 * Mathematical models of 3D imaging performance in cone beam computed tomography (CBCT).
 * Mathematical models of spectral imaging performance for photon counting x-ray detectors.
 * Mathematical models of 2D imaging performance for flat-panel detectors.
 * Software tools for x-ray spectrum modeling (spektr).

Membership and volunteerism in the biomedical engineering], [[physics, and medical physics communities include:
 * AAPM - Member, Science Council Chair, Scientific Program Director.
 * AIMBE - Member, College of Fellows.
 * SPIE - Medical Imaging Symposium: Program Committees.
 * RSNA - Liaison to the Scientific Program Committee.
 * North American Spine Society (NASS) - Member, Section on Radiology, Section on Robotics and Navigation.
 * American Physical Society (APS) - Member and Program Chair for the Topic Group of Medical Physics (GMED).

Board Member and other Advisory appointments include:
 * (2013 - 2017) - AAPM Board Member
 * (2016 -    ) - Carestream Health Advisory Board
 * (2010 - 2016) - Carestream Health Medical Advisory Board
 * (2014 - 2016) - Siemens Advisory Group on Surgery
 * (2011 - 2012) - Siemens Advisory Group on Image-Guided Surgery