Image quantitation is a critical component for molecular imaging and plays an important role in modern drug research. We have developed a Java-based integrated system environment which provides users the capability to quantitate image data. The system is coded completely in Java to achieve platform-independence, low maintenance and long product life. The system is available to users wherever there is an Internet access. It consists of several components: a JANUS image and volume viewer, an image conversion program, a model fitting tool, a plotting package, an image fusion tool (JFuse), a DICOM image sorter and a communication tool.

The JANUS image and volume viewer module is a full-fledged image display and manipulation program that contains many features, such as image windowing, cine-display, region-of-interest (ROI) drawing, time-activity curve (TAC) calculation, reslicing, and 3-D orthogonal viewing, that assist users in analyzing dynamic images. The image conversion program allows users to convert image files to different formats (CTI PET, Interfile, DICOM, etc.). The model fitting module provides model-fitting capability that allows one to estimate biological parameters from measured or simulated tissue kinetics, based on a kinetic model and an input function. Both the tissue kinetics and the input function can be read from user-supplied text files. A Marquardt-Leverberg algorithm for nonlinear regression is used for the model fitting. The plotting package provides a way to plot worksheet data in a chart with many display options. The JFuse program is dedicated to assist image comparison, tumor localization, treatment planning, and co-registration quality control involving two co-registered images. The DICOM sorter program allows users to sort DICOM files according to any header tag, e.g., sequence name, echo number, etc., and group them in subfolders. It also features header tag viewing/editing, image display, and format conversion. The communication tool allows users to communicate through a bulletin board and a calendar.

The system can be run either through the Web ( or stand-alone. This system is user-friendly and allow investigators to quantitate image data more efficiently.

David Truong
Henry Huang

JIEIQ is owned by UCLA Molecular & Medical Pharmacology Department and is protected by copyright laws and international copyright treaty provisions, as well as other intellectual property laws and treaties. Therefore, you must treat JIEIQ like any other copyrighted material. You may not use or copy JIEIQ for any other purpose than what is described in this Agreement.

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