Tutorial Digital Imaging PC exercises with ImageJ Medical Image Processing Software quality Karl-Friedrich Kamm.

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Tutorial Digital Imaging PC exercises with ImageJ Medical Image Processing Software quality Karl-Friedrich Kamm

Important Factors for Image Quality Processing Detector Optimum Display

Image processing program ImageJ intuitive operation free software for PC http://imagej.nih.gov/ij/ programmed in Java independent on platform well suited for medical images application software from many institutions Plugins

ImageJ Developed by Wayne Rasband latest program version: 1.48 wayne@codon.nih.gov latest program version: 1.48 NIH: National Institutes of Health (NIH) Washington, USA. Yearly budget : about 28 Mrd. US-$ about 28 % of all expenses for biomedical research in the USA.

Workshop Perquisites: Introduction to ImageJ ImageJ should be loaded at each computer. as test images we will start with the SMPTE TEST PATTERN CDs with further test images and medical images will be brought to the workshop by the lecturer. Introduction to ImageJ basic functions: menu commands, windows, tools, status bar and memory management hands on and discussion Image display, Brightness/contrast, Look Up Tables, histogram, dynamic range, image analysis Image processing, image enhancement, measurements

More information under the address: (Wikipedia) Short description: Image processing program for Windows and Apple PCs. Firstly developed 1983 for the Apple Macintosh Freeware. The source code is freely from the ImageJ website. http://imagej.nih.gov/ij/ There are distributions available for Windows, Mac OS, Mac OS X, Linux It is important to load also the plugins The program functionality can be expanded using a macro scripting language and via plugins written in Java. More information under the address: (Wikipedia) http://imagejdocu.tudor.lu/imagej-documenation-wiki/faq

Homepage of NIH ImageJ http://imagej.nih.gov/ij/

Developer.imagej.net

Test Image AAPM TG18 – QC quality check

Warning on JPEG Compression The JPEG format uses Lossy compression that leads to severe artifacts that are not compatible with quantitative analyses. As such, it should only be used for presentation purposes (if file size is an issue), but even then a lossless format such as PNG is probably more suitable.

The illustration below exemplifies the consequences of saving images in a lossy format. To replicate it, open the Mandrill sample image (by drag and drop, or alternatively using File . Import . URL. . . and typing the image’s path, http://imagej.nih.gov/ij/images/baboon.jpg),

applications http://www.santec.lu/project/optimage

author of ImageJ Wayne Rasband (wayne@codon.nih.gov), Research Services Branch, National Institute of Mental Health, Bethesda, Maryland, USA, (http://rsb.info.nih.gov/ij/). ImageJ is a medical image processing software developed and put in the public domain (old-style definition, but definitely valid) with source code included by Wayne Rasband. The software is inspired by a previously created and carefully maintained software named NIH- Image, which was available for Macintosh and ported to Windows by a third-party. Wayne Rasband is working as software developer at the National Institutes of Health for 35 years. In the 70s he developed image analysis software for the PDP-11 minicomputer. From 1983 to 1996 he worked on the NIH Image program for the Macintosh. From 1997 to the present he has been working on ImageJ. He has a masters degree in computer science from the University of Maryland.

Literature