![]() However, it was distributed as a stand-alone application and other researchers could not extend it by writing their own custom image analysis algorithms. We have already implemented a cardiovascular image analysis software package and released it as freeware for the research community. Heiberg, Einar Sjögren, Jane Ugander, Martin Carlsson, Marcus Engblom, Henrik Arheden, HÃ¥kanĬommercially available software for cardiovascular image analysis often has limited functionality and frequently lacks the careful validation that is required for clinical studies. The philosophy of the software package is discussed and the data structure that was built is described in detailĭesign and validation of Segment - freely available software for cardiovascular image analysis ![]() It proved to be an excellent tool for helping people to get adapted into the system, and for standardizing and exchanging software, yet preserving flexibility allowing for users' specific implementations. This software package is being used for more than one and a half years by users with different applications. Considering the vast amount of memory needed by imaging applications and the memory available in small imaging systems, an effective image memory management scheme was implemented. The data structure that was built has four main features: hierchical, open, object oriented, and object dependent dimensions. ![]() Hardware dependency is restricted to a single module upon which all hardware calls are based. The software package can be considered in two different ways: as a data structure adapted to image processing and analysis, which acts as the backbone and the standard of communication for all the software and as a set of routines implementing the basic algorithms used in image processing and analysis. A software package incorporating these two requirements was developed using the C programming language, in order to create a user friendly image processing programming environment. The requirements to bridge this gap are twofold: good knowledge of the hardware provided and its interface to the host computer, and expertise in digital image processing and analysis techniques. There is however a large software gap to be fulfilled, between the application and the equipment. The decreasing cost of computing power and the introduction of low cost imaging boards justifies the increasing number of applications of digital image processing techniques in the area of biomedicine. International Nuclear Information System (INIS) A software package for biomedical image processing and analysis
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