This thesis investigated the efficacy of eye tracking technology and a digital training tool in radiographic image interpretation. A systematic review was performed to investigate the performance of r...
This paper describes the possibility of monitoring the progress of knowledge and skills acquisition by the students of radiology. It is achieved by an analysis of a visual attention distribution patte...
Several computational visual saliency models have been proposed in the context of viewing natural scenes. We aim to investigate the relevance of computational saliency models in medical images in the ...
Physician training has greatly benefitted from insights gained in understanding the manner in which experts search medical images for abnormalities. The aims of this study were to compare the search p...
PURPOSE To determine the effectiveness of radiologists' search, recognition, and acceptance of lung nodules on computed tomographic (CT) images by using eye tracking. MATERIALS AND METHODS This stud...
Our prior visual experience plays a critical role in face perception. We show superior perceptual performance for differentiating conspecific (vs non-conspecific), own-race (vs other-race) and familia...
Objective: The aim of this study was to explore reader gaze, performance, and preference during interpretation of cranial computed tomography (cCT) in stack mode at two different sizes. Background: Di...
OBJECTIVES The assessment of digital ulcers (DUs) in systemic sclerosis (SSc) depends crucially on visual aspects. However, little is known about the differences in visual assessment of these wounds b...
OBJECTIVE Eye tracking in three dimensions is novel, but established descriptors derived from two-dimensional (2D) studies are not transferable. We aimed to develop metrics suitable for statistical co...
New advances in Medical imaging have made a great impact on diagnosis and treatment planning. The most important part of medical image processing is the identifi cation of reliable and accurate ROIs. ...
Machine learning is a powerful and effective tool for medical image analysis to perform computer-aided diagnosis (CAD). Having great potential in improving the accuracy of a diagnosis, CAD systems are...
Interpretation of volumetric medical images represents a rapidly growing proportion of the workload in radiology. However, relatively little is known about the strategies that best guide search behavi...
In this paper we present GroupGaze. It is a tool that can be used to calculate the gaze direction and the gaze position of whole groups. GroupGazer calculates the gaze direction of every single person...
In the field of medical image perception, the holistic processing perspective contends that experts can rapidly extract global information about the image, which can be used to guide their subsequent ...
INTRODUCTION It is well known that accurate interpretation of the 12-lead electrocardiogram (ECG) requires a high degree of skill. There is also a moderate degree of variability among those who interp...
Human observers with varying degrees of expertise interpret the 12-lead electrocardiogram (ECG) in different ways. In this work the authors investigate whether eye tracking can be used to gain an insi...
Gaze tracking is a promising technology for studying the visual perception of clinicians during image-based medical exams. It could be used in longitudinal studies to analyze their perceptive process,...
Eye-tracking—the process of measuring where people look in a visual field—has been widely used to study how humans process visual information. In medical imaging, eye-tracking has become a popular tec...
Eye tracking has been used by many researchers to try to shed light on the perceptual processes involved in medical image perception. Despite a large volume of data having been published regarding rad...
Direct volume rendering (DVR) visualization helps interpretation because it allows users to focus attention on the subset of volumetric data that is of most interest to them. The ideal visualization o...