Medical Sciences and Image Processing has a significant relation for clinical diagnosis and treatment. Especially, medical system has evolved at an explosive rate in the past few years.

High-resolution, three-dimensional anatomical information can now be obtained in a routine manner with magnetic resonance imaging and X-ray computer-aided tomography scanners (X-ray CT, MDCT). Three-dimensional functional imaging of blood flow and metabolic information can be obtained from positron emission tomography (PET) images, and functional four-dimensional electrophysiology (EEG) and evoked potential information can be obtained using high-speed computers. In addition, ultrasonography system could provide 3D real-time images of organs or blood flow information. Ultrasonic imaging can efficiently provide the dynamics of tissues with the low cost devices. In these, new techniques such as image scanning, display, sensors, actuators and devices lead to improve the potential of the medical imaging systems.

Especially, a mixture of medical sciences and image processing techniques would lead to successful tasks to various medical system developments. This explosion of new techniques also emphasizes the need to integrate and focus the efforts of computer engineering/scientists and clinicians to facilitate communication, establish standards, and develop training programs.

While, in clinical practice, data mining in huge clinical data and clinical decision making based on the mining results play a primary role for clinical treatment.

International Journal of Intelligent Computing in Medical Sciences and Image Processing (IC-MED) focuses the new techniques arising form the fusion of medical sciences and image processing. This fusion would lead to enhance not only medical quality but also image processing techniques.

International Journal of Intelligent Computing in Medical Sciences and Image Processing is published by TSI Press, the publisher of the AutoSoft Journal, beginning 2007.