Abstract
Digital Imaging Processing (DIP) requires data extraction and output from a visualization tool to be consistent. Data handling and transmission between the server and a user is a systematic process in service interpretation. The use of integrated medical services for management and viewing of imaging data in combination with a mobile visualization tool can be greatly facilitated by data analysis and interpretation. This paper presents an integrated mobile application and DIP service, called M-DIP. The objective of the system is to (1) automate the direct data tiling, conversion, pre-tiling of brain images from Medical Imaging NetCDF (MINC), Neuroimaging Informatics Technology Initiative (NIFTI) to RAW formats; (2) speed up querying of imaging measurement; and (3) display high-level of images with three dimensions in real world coordinates. In addition, M-DIP provides the ability to work on a mobile or tablet device without any software installation using web-based protocols. M-DIP implements three levels of architecture with a relational middle-layer database, a stand-alone DIP server, and a mobile application logic middle level realizing user interpretation for direct querying and communication. This imaging software has the ability to display biological imaging data at multiple zoom levels and to increase its quality to meet users’ expectations. Interpretation of bioimaging data is facilitated by an interface analogous to online mapping services using real world coordinate browsing. This allows mobile devices to display multiple datasets simultaneously from a remote site. M-DIP can be used as a measurement repository that can be accessed by any network environment, such as a portable mobile or tablet device. In addition, this system and combination with mobile applications are establishing a virtualization tool in the neuroinformatics field to speed interpretation services.
Highlights
Digital Imaging Processing (DIP) is a rapidly evolving area in medical science
MATERIALS AND METHODS This research has focused on three key elements in this web-based mobile application development for processing medical images, on MRI datasets. (a) Data handling : create a specific imaging format that could meet the specialists’ need to enhance its information and “system” qualities. (b) Link-speed: test system performance and the communication between the mobile and image server to meet specialists’ “satisfaction” and increase “service quality.” (c) Mobile user interface (UI) : provide a mobile graphical interface for visualizing image data to create an environment for image interpretation and analysis in the real time
This study addresses the research needs of biomedical researchers and details the specific implications for theory and practice
Summary
Digital Imaging Processing (DIP) is a rapidly evolving area in medical science. It plays an important role in the analysis, interpretation, and viewing of data. It has been widely introduced due to technological advances in digital imaging, computer processors, and mass storage devices [1]. DIP involves the modification of data to improve image quality for interpretation. Processing and extraction of information from images is indispensable in the experimental workflow of medical science research, and in particular in cell biology and neuroscience [2]. DIP helps in maximizing details of interest for image extraction and analysis and provides the capability of capturing the raw data for further study and interpretation
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
