Exploring presentation methods for tomographic medical image viewing

Visual MRI: Merging information visualization and non-parametric clustering techniques for MRI dataset analysis

“…The main IV applications in medicine focus on effective data exploration [11], advanced rendering techniques [12], or immersive environments [13][14][15].…”

“…In [11], the authors propose an effective toolkit for the exploration of tomographic medical images on a computer screen by carefully designing three aspects: control, navigation, and details in context. Control provides the ability to interactively create user-defined image groups and to control group location, visibility, and display size.…”

High-Fidelity Visualization of Large Medical Datasets on Commodity Hardware

“…As reported in [11], while interpreting the imaging data, radiologists usually follow a model for visual search that postulates a preattentive global analysis followed by fixations and discovery scanning. Therefore, only some structures, which typically occupy a small percentage of the data, are of interest, but their analysis requires contextual information like locations within a specific organ or adjacency to sensitive structures [12]. Therefore, although interesting features are typically localized and appear in a small region of interest (ROI), also the context, which comprises all that is not in the ROI, is equally important for medical inspection.…”

Medical Imaging Environment – A Multi-Agent System for a Computer Clustering Based Multi-display

“…This can be described as the problem of presenting information within the space available on a computer screen. Van der Heyden et al [3] explored several presentation issues in the development of medical imaging viewing systems to overcome computer screen size limitations. Mathie and Strickland, and Kim et al [4,5] explored the stack mode solution where images are stacked all one in top of the other and are viewed in a user controlled cine mode.…”