Imaging and Multimedia Links

Atlas of Brain Perfusion SPECT  This atlas, as part of the Brigham AD project, is under development by the Division of Nuclear Medicine at the Department of Radiology, Brigham & Women's Hospital. Currently the atlas contains twenty one cases. Most of these cases are presented with relevant case history, clinical information and pertinent SPECT images along with co-registered scans (SPECT merged with CT or MRI temporal studies have also been included when indicated). All material in this atlas is under copyright protection by Brigham and Women's Hospital. Information and images in this atlas may be used without cost provided that use is limited to non-commercial purposes and the Brigham and Women's Hospital, Harvard Medical School is given acknowledgement

Biotronics3D Ltd headquartered in London, England, develops and markets innovative software applications for the diagnostic imaging industry. We provide cutting edge software technologies to improve healthcare by better extracting diagnostic data and transforming it into usable information available at the point-of-care. Biotronics3D Ltd is an EN ISO 13485:2003 certified company. Our flagship product, 3Dnet™ Suite, has received FDA 510K market clearance and is CE marked.
 

Brain Imaging Centre, Montreal Neurological Institute, McGill University  The McConnell Brain Imaging Centre (BIC) is one of the largest scientific communities in North America dedicated solely to research imaging of the human brain. It consists of a core group of 10 researchers conducting independent research with high technology brain scanners and sophisticated computational analysis. The program emphasizes quantitative 3-D investigation of brain structure and function. Brain structure is imaged using anatomical Magnetic Resonance Imaging (aMRI) while brain physiology is imaged using Positron Emission Tomography (PET), Magnetic Resonance Spectroscopy (MRS) or functional MRI (fMRI). This environment emphasizes the combination of data from the different scanners for interactive multi-modality image analysis. The BIC maintains strong and rapidly developing linkages with the clinical, clinical research and basic research communities within the Institute and has developed collaborations with other McGill researchers in biochemistry, physiology, computer science, mathematics, electrical and biomedical engineering.

Center for Image Processing and Integrated Computing (CIPIC), University of California, Davis  The Institute for Data Analysis and Visualization (IDAV, formerly known as the Center for Image Processing and Integrated Computing, CIPIC) focuses on data analysis, visualization, computer graphics, optimization, and electronic imaging. The major aim is the investigation of techniques for the study of large-scale, multi-dimensional data sets. Applications for these techniques include the analysis and visualization of environmental, geophysical, astrophysical, biological, fluid flow, and satellite data.
 

Centre for Functional NeuroImaging, University College London  The UCL Centre for Neuroimaging Techniques (UCL-CNT) (formerly the UCL Centre for Functional Neuroimaging) is part of University College London. 

Chester F. Carlson Center for Imaging Science  Welcome to the Chester F. Carlson Center for Imaging Science. Imaging Science is the science of the creation and/or utilization of visual representations of measurable properties of persons, objects, or phenomena. It draws upon foundations in the fundamental disciplines of mathematics, physics, chemistry, computation, and biology to formalize the study of images and imaging systems. The Center strives to be foremost in the minds of those interested in education and academic research on techniques, processes, and systems for imaging. The Chester F. Carlson Center for Imaging Science is an academic unit in the College of Science of the Rochester Institute of Technology.

Cognitive Computing & Medical Imaging  The mission of our department is to provide technologies and systems enabling the generation of 3D models of existing, real-life objects in a way suitable for computer graphics applications.  The areas of Computer Graphics and Computer Vision/Image Processing continue since years to come closer, we see them merging entirely in the next future.
 

Diagnostic Imaging On the Web  Diagnostic Imaging  Magazine.

Digital Anatomist Interactive Atlases   Interactive Atlases Digital Anatomist Project Structural Informatics Group Department of Biological Structure University of Washington Seattle, Washington, USA.

Digital Image Processing, University of Cape Town  Welcome to the WWW server of the Digital Image Processing Laboratory of the Electrical Engineering Department at the University of Cape Town. Research activities include medical imaging, pattern recognition, image processing, and computer vision.
 

e-Anatomy.org   Interactive Atlas of Whole Body Cross-Sectional Imaging Anatomy To provide an e-Learning website about sectional anatomy of human body, with interactive self-study and assessment tools, based on more than 1500 MR and CT slices.
 

GoldMiner™   Speeds your search for radiology images by quickly matching search criteria with peer-reviewed content available on the Web. By limiting results to images from respected, peer-reviewed journals, you won’t waste time sifting through thousands of unrelated images or images from unknown sources. You can save more time by filtering for imaging modality, patient age and gender. GoldMiner™ functions like other popular Internet search engines in that it does not store original materials but rather points you to Web sites where those images are found. Unlike currently available tools, however, GoldMiner™ is designed by and for radiologists. It understands medical vocabulary, recognizing for example that “renal calculi” are the same as “kidney stones.” GoldMiner™ utilizes the National Library of Medicine’s metathesaurus to provide a lexicon that searches using hierarchy, synonymy, and abbreviations of radiological terms. GoldMiner™ is a service of the American Roentgen Ray Society. Project Leader Charles E. Kahn, Jr., MD, MS Division of Informatics, Department of Radiology Medical College of Wisconsin.

Image Management & PACS  This page is for the purpose of exchanging information among radiology professionals regarding PACS implementation. I aspire to go beyond the normal issues surrounding PACS. Hopefully I shed some additional light on cost justification and benefits other than dollars. I welcome any comments via E-MAIL. All comments will be utilized to further enhance this site's capabilities and services.

Images and Animations from the Visible Human Project, NLM, U.S.  The collection of images appearing here is a small sample of images from the Visible Human Project^® male dataset. For a larger collection of images, employ one of the applications for viewing the Visible Human dataset
 

Imaging Resources, Inc.  Welcome to Imaging Resources Home Page.  Below you will find navigation buttons to our list of Continuing Educational seminars, a catalog of radiology supplies, lectures and training we provide as well as links to other human, veterinary, and radiation related sites.

International Consortium for Medical Imaging Technology  The overall objective of the ICMIT is to develop and implement information technology which will lead to improved medical diagnosis and health care as well as reductions in costs. We will achieve this goal by creating and exploiting new advances in imaging modalities, computer hardware and software, and network technology to store, retrieve, analyze, and deliver multimedia medical and biological data to diagnosing physicians and others in the medical community.

Laboratory of NeuroImaging, University of California, Los Angeles  At LONI , we strive to improve our understanding of the brain in health and disease. LONI is a leader in the development of advanced computational algorithms and scientific approaches for the comprehensive and quantitative mapping of brain structure and function. 

Mammography Image Databases, University of South Florida The Digital Database for Screening Mammography (DDSM) is a resource for use by the mammographic image analysis research community. Primary support for this project was a grant from the Breast Cancer Research Program of the U.S. Army Medical Research and Materiel Command. The DDSM project is a collaborative effort involving co-p.i.s at the Massachusetts General Hospital (D. Kopans, R. Moore), the University of South Florida (K. Bowyer), and Sandia National Laboratories (P. Kegelmeyer). Additional cases from Washington University School of Medicine were provided by Peter E. Shile, MD, Assistant Professor of Radiology and Internal Medicine. Additional collaborating institutions include Wake Forest University School of Medicine (Departments of Medical Engineering and Radiology), Sacred Heart Hospital and ISMD, Incorporated. The primary purpose of the database is to facilitate sound research in the development of computer algorithms to aid in screening. Secondary purposes of the database may include the development of algorithms to aid in the diagnosis and the development of teaching or training aids. The database contains approximately 2,500 studies. Each study includes two images of each breast, along with some associated patient information (age at time of study, ACR breast density rating, subtlety rating for abnormalities, ACR keyword description of abnormalities) and image information (scanner, spatial resolution, ...). Images containing suspicious areas have associated pixel-level "ground truth" information about the locations and types of suspicious regions. Also provided are software both for accessing the mammogram and truth images and for calculating performance figures for automated image analysis algorithms.

Marching Through the Visible Woman   The National Library of Medicine continues its Visible Human project with the Visible Woman. This paper describes on-going results in processing the CT data using the methodology described in Marching Through The Visible Man.

McConnell Brain Imaging Centre, McGill University   The McConnell Brain Imaging Centre (BIC) is one of the largest scientific communities in North America dedicated solely to research imaging of the human brain. It consists of a core group of 10 researchers conducting independent research with high technology brain scanners and sophisticated computational analysis. The program emphasizes quantitative 3-D investigation of brain structure and function. Brain structure is imaged using anatomical Magnetic Resonance Imaging (aMRI) while brain physiology is imaged using Positron Emission Tomography (PET), Magnetic Resonance Spectroscopy (MRS) or functional MRI (fMRI). This environment emphasizes the combination of data from the different scanners for interactive multi-modality image analysis. The BIC maintains strong and rapidly developing linkages with the clinical, clinical research and basic research communities within the Institute and has developed collaborations with other McGill researchers in biochemistry, physiology, computer science, mathematics, electrical and biomedical engineering.

Medical Image Processing Group, University of Pennsylvania The Medical Imaging Section, historically known as the Medical Image Processing Group, conducts full-time medically relevant research in imaging science and offers training to students and post-doctoral fellows. The section's research has three primary goals: 1) to advance the state of knowledge in the mathematical theory and computer algorithms for tomographic images reconstruction and for the three-dimensional (3-D) visualization and analysis of multidimensional, multiparametric, multimodality image data; 2) to develop transportable software systems for tomographic reconstruction and for 3-D visualization and analysis of medical image data; and 3) to develop new medical applications for the methods of 3-D visualization and analysis for improved diagnosis, treatment, understanding and education of abnormalities in internal structures and in their function. The section has pioneered in all these areas and is recognized worldwide for ongoing cutting-edge research. It has many firsts to its credit in these areas. Much of the activity of the section is funded by research grants from NIH and NSF. The section consists of about 30 members. It conducts weekly seminar during the fall and spring semesters, as well as a weekly literature review meeting; both are often attended by researchers from other institutions. Its state-of-the-art computing facilities consist of a local network of more than 50 graphics workstations and numerous software packages developed in-house.

Medical Image Processing Laboratory, State University of New York at Stony Brook The Medical Image Processing Laboratory conducts investigations in medical image processing and analysis. It is located in the Department of Radiology in the School of Medicine, but is home to graduate students from the Department of Electrical and Computer Engineering. The laboratory is headed by Gene Gindi, Associate Professor of Radiology and Electrical Engineering. Ongoing research projects include SPECT and PET statistical image reconstruction, investigations into task performance measures of image quality, and digital mammographic tomosynthesis. The laboratory was founded in 1992 by Gene Gindi

Medical Images & Movies, Health On the Net   HONnet over 6800 images

Medical Imaging Center, Turkey University Central Hospital  The Medical Imaging Centre at the Turku University Central Hospital consists of three major units: the Department of Radiology, the Department of Nuclear Medicine and the PET (Positron Emission Tomography) Centre. The number of examinations is around 130.000 per year. Several innovative projects in the fields of MRI (Magnetic Resonance Imaging), Digital Imaging and Digital Data Transfer are in progress. Advanced imaging techniques, such as Spiral CT, Open Low Field Magnetic Resonance Imaging (0.23T), PET, and Dynamic Pulmonary Imaging, are in routine use. Interventional procedures such as coronary angioplasty and therapeutic embolism are performed routinely in the Department of Radiology. The number of coronary angioplasties (over 300 annually) exceeds that of coronary bypass surgery in the hospital. The Turku PET Centre is the only one in the country and is an important international research facility. A digital archive was founded in 1995. The ultimate goal of the Imaging Centre is to provide multimodality facilities for research and clinical examination of the highest international standards. We have several collaborative research programs with a number of leading institutions in Europe and the U.S. A local Image Network has been established between the Imaging Centre and the Central Hospitals of Pori and Mariehamn. Medical students from T.U. are being trained at the hospital and teaching is another important activity

Medical signal and Image Processing Group (19-Apr-1996), MEDISIP  MEDISIP is the Medical Image and Signal Processing Research group of the department of electronics and information systems (ELIS) at Ghent University (UGent), Belgium. MEDISIP is currently doing research in the field of digital signal and image processing, mainly for medical applications.
 

MedPix™   Peer Reviewed Teaching File Cases and Medical Image  Database from MedPix™
 

Nick's X-Ray and Radiography Home Page  Xray 2000 Nick's Website , 3000 + x-ray images and Information from the UK. A fabulous site for students. Webmaster, Nick Oldnall
 

Physical Characteristics of Nuclear Medicine Images, Brigham RAD  Department of Radiology, Brigham and Women's Hospital Harvard Medical School, Physical Characteristics of Nuclear Medicine Images Stephen C Moore, PhD

Pilot European Image Processing Archive  The principal aim of this web-site is to show you how to carry out benchmarking exercises yourself, both by providing tutorials that describe the principles and in-depth case studies that illustrate the practice. There are also examples of people's work and a comprehensive bibliography of relevant publications. We also provide a test harness to automate the testing process. The same test harness also allows you to compare the performances of techniques, both those you have developed yourself and others available on the Internet. If you're already active in performance characterization, you might be interested in current and past events in the area. You might also like to look at groups whose work encompasses performance characterization and benchmarking. Our aim is to make these pages as comprehensive as possible, covering all aspect of benchmarking.
 

Radiology Picture of the Day  Edited and maintained by Dr Laughlin Dawes

Wolfsan Brain Imaging Center, Cambridge University  The Wolfson Brain Imaging Centre (WBIC) is a research facility attached directly to the Addenbrooke's Hospital Neuro Critical Care Unit and dedicated to imaging function in the injured human brain using Positron Emission Tomography and Magnetic Resonance. Our name reflects the generous funding from the Wolfson Foundation that enabled the University of Cambridge via the School of Clinical Medicine to build and equip the Centre.

(Back to Top)