Projection Based Region of Interest Segmentation in Breast MRI Images

In this paper, a computer aided design auto breast region segmentation system is presented to identify the region of interest (ROI) in magnetic resonance imaging (MRI) images. The system is proposed due to the necessary for performing useful postprocessing on the image for breast cancer research and treatment.  Besides, while the ROI is segmented, the image post-processing efficiency of the system is greatly improved.  The vertical and horizontal projections algorithms are employed to refine the breast ROI. The methodology has been applied on 55 sets of Digital Image and Communications in Medicine (DICOM) breast MRI datasets images. The experimental results show that the system is able to segment the breast ROI accurately

Image colourisation for early infarct detection

Although early detection of infarct sign can provide early treatment to patients, early infarct detection on brain images is well-known to be difficult due to their subtle signs. A method is proposed to aid the detection of infarct through image colourisation based on Hounsfield units. A test was conducted in a private university to evaluate the algorithm, and the method appeared helpful and robust. The limited results showed that students with and without medical background had improved their ability of detecting early sign by 5.5% with the help of image colourisation