Your browser version may not work well with NCBI's Web applications. More information here...
1: J Digit Imaging. 2005 Jun;18(2):91-9.Click here to read Links

Creation of DICOM--aware applications using ImageJ.

Department of Radiology, Duke University Medical Center, PO Box 3808, Durham, NC, 27710, USA. barbo013@mc.duke.edu

The demand for image-processing software for radiology applications has been increasing, fueled by advancements in both image-acquisition and image-analysis techniques. The utility of existing image-processing software is often limited by cost, lack of flexibility, and/or specific hardware requirements. In particular, many existing packages cannot directly utilize images formatted using the specifications in part 10 of the DICOM standard ("DICOM images"). We show how image analyses can be performed directly on DICOM images by using ImageJ, a free, Java-based image-processing package (http://rsb.info.nih.gov/ij/). We demonstrate how plug-ins written in our laboratory can be used along with the ImageJ macro script language to create flexible, low-cost, multiplatform image-processing applications that can be directed by information contained in the DICOM image header.

PMID: 15827831 [PubMed - indexed for MEDLINE]