Biomedical subjects

M Stella Atkins

Publications and source records attributed to M Stella Atkins.

8 recordsLinked to original sources

PubMed2006

Using human and model performance to compare MRI reconstructions.

Magnetic resonance imaging (MRI) reconstruction techniques are often validated with signal-to-noise ratio (SNR), contrast-to-noise ratio, and mean-to-standard-deviation ratio measured on example images. We present human and model observers as a novel approach to evaluating reconstructions for low-SNR magnetic resonance (MR) images. We measured human and channelized Hotelling observers in a two-alternative forced-choice signal-known-exactly detection task on synthetic MR images. We compared three reconstructions: magnitude, wavelet-based denoising, and phase-corrected real. Human observers performed approximately equally using all three reconstructions. The model observer showed very close agreement with the humans over the range of images. These results contradict previous predictions in the literature based on SNR. Thus, we propose that human observer studies are important for validating MRI reconstructions. The model's performance indicates that it may provide an alternative to human studies.

Artificial Intelligence↗

PubMed2005

Designing better radiology workstations: impact of two user interfaces on interpretation errors and user satisfaction.

This paper presents our solution for supporting radiologists' interpretation of digital images by automating image presentation during sequential interpretation steps. We extended current hanging protocols with support for "stages" which reflect the presentation of digital information required to complete a single step within a complex task. We demonstrated the benefits of staging in a user experiment with 20 lay subjects involved in a comparative visual search for targets, similar to a radiology task of identifying anatomical abnormalities. We designed a task and a set of stimuli that allowed us to simulate the interpretation workflow from a typical radiology scenario-reading a chest radiography exam when a prior study is also available. The simulation was enabled by abstracting both the radiologist's task and the basic workstation navigation functionality. The staged interface was significantly faster than the traditional user interface, provided a 37% reduction in the interpretation errors, and improved user satisfaction.

Analysis of Variance↗

PubMed2005

Counting moles automatically from back images.

Density of moles is a strong predictor of malignant melanoma, therefore, enumeration of moles is often an integral part of many studies that look at malignant melanoma. An automatic method of segmenting and counting moles would help standardize studies, compared with manual counting. We have developed an unsupervised algorithm for segmenting and counting moles from two-dimensional color images of the back torso region, as part of a study to evaluate the effectiveness of sunscreen. The method consists of a new variant of mean shift filtering that forms clusters in the image and removes noise, a region growing procedure to select candidates, and a rule-based classifier to identify moles. When this algorithm was compared to an assessment by an expert dermatologist, the algorithm showed a sensitivity rate of 91% and diagnostic accuracy of 90% on the test set, for moles larger than 1.5 mm in diameter.

Algorithms↗

PubMed2004

Design requirements for radiology workstations.

This article stresses the importance of capturing feedback from representative users in the early stages of product development. We present our solution to producing quality requirement specifications for radiology workstations, specifications that remain valid over time because we successfully anticipated the industry trends and the user's needs. We present the results from a user study performed in December 1999 in a radiology clinic equipped with state-of-the-art Picture Archiving and Communications Systems (PACS) and imaging scanners. The study involved eight radiologists who answered questions and provided comments on three complementary research topics. First, we asked our subjects to enumerate the advantages and the disadvantages for both softcopy and hardcopy reading. We identified the two major factors for productivity improvement through the use of PACS workstations: workflow re-engineering and process automation. Second, we collected radiologist feedback on the use of hanging protocols (HPs). The results indicated the high importance of automatic image organization through HPs, with the potential effect of reducing the interpretation time by 10-20%. Our subjects estimated that 10-15 HPs would cover about 85%-95% of the regular radiological examinations. Third, we investigated the impact of the display devices on the radiologist's workflow. Our results indicated that the number and the properties of the monitors is a modality-specific requirement. The main results from this study on key functional requirements for softcopy interpretation only recently were incorporated in most of the current, successful PACS workstations.

Attitude of Health Personnel↗

PubMed2003

Irregularity index: a new border irregularity measure for cutaneous melanocytic lesions.

One of the important clinical features that differentiates benign melanocytic nevi from malignant melanomas is the irregularity of the lesion border. There are two types of border irregularities: texture irregularities, the small variations along the border, and structure irregularities, the global indentations and protrusions. Texture irregularities are subject to noise, whereas structure irregularities may suggest excessive cell growth or regression of a melanoma. We have designed a new algorithm for measuring the structure irregularities in the border. Our algorithm first locates all the local and global indentations and protrusions and organizes them in a hierarchical structure. Then an area-based index, called the irregularity index, is computed for each indentation and protrusion along the border. From the individual irregularity indices, two important new measures, the most significant irregularity index and the overall irregularity index are derived. These two new indices provide a measure of the degree of irregularity along the lesion border. A double-blinded test was performed to examine the effectiveness of these two new indices. Fourteen experienced dermatologists were asked to evaluate the borders of 40 pigmented lesions. The clinical evaluation result was then compared with the two new indices and other published shape measurements. The user study showed that both of the new indices vastly outperformed the other shape descriptors. Moreover, our algorithm captured the knowledge of expert dermatologists in analysing malignancy of a lesion based on its shape alone, indicating that the new measures may be useful for diagnosing melanomas.

Algorithms↗

PubMed2003

Simultaneous registration and activation detection for fMRI.

Registration using the least-squares cost function is sensitive to the intensity fluctuations caused by the blood oxygen level dependent (BOLD) signal in functional MRI (fMRI) experiments, resulting in stimulus-correlated motion errors. These errors are severe enough to cause false-positive clusters in the activation maps of datasets acquired from 3T scanners. This paper presents a new approach to resolving the coupling between registration and activation. Instead of treating the two problems as individual steps in a sequence, they are combined into a single least-squares problem and are solved simultaneously. Robustness tests on a variety of simulated three-dimensional EPI datasets show that the stimulus-correlated motion errors are removed, resulting in a substantial decrease in false-positive and false-negative activation rates. The new method is also shown to decorrelate the motion estimates from the stimulus by testing it on different in vivo fMRI datasets acquired from two different 3T scanners.

Algorithms↗

PubMed2003

Eye trackers in a virtual laparoscopic training environment.

Virtual laparoscopic training systems have been shown to differentiate between the skills of experienced and novice laparoscopic surgeons. Measures such as total number of errors and completion time are used to assess skill, but these metrics do not give much insight into the processes behind skilled behavior in simulated laparoscopic tasks. The eye gaze of 2 groups of subjects, one experienced with laparoscopic surgery, and the other with no experience, was recorded while they performed an aiming task in a virtual laparoscopic trainer. The experienced subject committed much lower number of errors than the novices. Initial analysis of the eye data showed that the novice group tended to gaze on the tool they are controlling more often than the experienced subject.

Education, Medical↗

PubMedDate not supplied

Visualization task performance with 2D, 3D, and combination displays.

We describe a series of experiments that compare 2D displays, 3D displays, and combined 2D/3D displays (orientation icon, ExoVis, and clip planes) for relative position estimation, orientation, and volume of interest tasks. Our results indicate that 3D displays can be very effective for approximate navigation and relative positioning when appropriate cues, such as shadows, are present. However, 3D displays are not effective for precise navigation and positioning except possibly in specific circumstances, for instance, when good viewing angles or measurement tools are available. For precise tasks in other situations, orientation icon and ExoVis displays were better than strict 2D or 3D displays (displays consisting exclusively of 2D or 3D views). The combined displays had as good or better performance, inspired higher confidence, and allowed natural, integrated navigation. Clip plane displays were not effective for 3D orientation because users could not easily view more than one 2D slice at a time and had to frequently change the visibility of individual slices. Major factors contributing to display preference and usability were task characteristics, orientation cues, occlusion, and spatial proximity of views that were used together.

Adult↗