Stereo CT Image Compositing Methods for Lung Nodule Detection and Characterization1

Wang, Xiao Hui; Good, Walter F.; Fuhrman, Carl R.; Sumkin, Jules H.; Britton, Cynthia A.; Golla, Saraswathi K.

doi:10.1016/j.acra.2005.06.009

Cited by 10 publications

(13 citation statements)

References 15 publications

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“…All renderings were precalculated and stored on hard disk for real-time display. The detailed rendering methods were included in Wang et al 11,12 A brief description of three display modes is given as follows.…”

Section: Display Modesmentioning

confidence: 99%

“…Then, two raycasting methods were employed for the stereo images. 11,12 One was distance-weighted MIP, in which the maximum voxel value along a perspective ray was further modified by a weight based on the voxel location in the ray. High contrast images produced by distance-weighted MIP were used for nodule detection.…”

Section: Display Modesmentioning

confidence: 99%

“…10 Various display workstations and user interfaces have also been developed to achieve better image perception, ease reader-computer interaction, and improve efficacy of the interpretation process. [11][12][13][14][15][16] The stereo display tested in this study is one of these attempts. 11,12 In cases where comparisons have previously been made between competing display paradigms, the main focus has been detection performance.…”

Section: Introductionmentioning

confidence: 99%

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Characterization of Radiologists’ Search Strategies for Lung Nodule Detection: Slice-Based Versus Volumetric Displays

Wang

Durick

et al. 2007

J Digit Imaging

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The goal of this study was to assess whether radiologists' search paths for lung nodule detection in chest computed tomography (CT) between different rendering and display schemes have reliable properties that can be exploited as an indicator of ergonomic efficiency for the purpose of comparing different display paradigms. Eight radiologists retrospectively viewed 30 lung cancer screening CT exams, containing a total of 91 nodules, in each of three display modes [i.e., slice-by-slice, orthogonal maximum intensity projection (MIP) and stereoscopic] for the purpose of detecting and classifying lung nodules. Radiologists' search patterns in the axial direction were recorded and analyzed along with the location, size, and shape for each detected feature, and the likelihood that the feature is an actual nodule. Nodule detection performance was analyzed by employing free-response receiver operating characteristic methods. Search paths were clearly different between sliceby-slice displays and volumetric displays but, aside from training and novelty effects, not between MIP and stereographic displays. Novelty and training effects were associated with the stereographic display mode, as evidenced by differences between the beginning and end of the study. The stereo display provided higher detection and classification performance with less interpretation time compared to other display modes tested in the study; however, the differences were not statistically significant. Our preliminary results indicate a potential role for the use of radiologists' search paths in evaluating the relative ergonomic efficiencies of different display paradigms, but systematic training and practice is necessary to eliminate training curve and novelty effects before search strategies can be meaningfully compared.

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Section: Display Modesmentioning

confidence: 99%

Section: Display Modesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Characterization of Radiologists’ Search Strategies for Lung Nodule Detection: Slice-Based Versus Volumetric Displays

Wang

Durick

et al. 2007

J Digit Imaging

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“…Researchers have also tried to combine different rendering algorithms into one application to manage different anatomical structures and different diagnostic purposes. Various display workstations and user interface have been developed in order to achieve better image perception, ease reader-computer interaction and improve the efficacy of interpretation process [20,21,22,23,24,25]. Our stereo display tested in this study is one of those attempts to improve radiologists' performance in lesion detection and classification.…”

Section: Introductionmentioning

confidence: 99%

“…Our stereo display tested in this study is one of those attempts to improve radiologists' performance in lesion detection and classification. [22,23] All the works on 3D image data manipulation and presentation have significantly facilitated medical 3D data visualization. It is, however, unclear how well radiologists would adapt to the new technology and, more importantly, what kind of features or functionalities will likely improve radiologists' performance and maximize the utility value of the new technology.…”

Section: Introductionmentioning

confidence: 99%

Development and Evaluation of Stereographic Display for Lung Cancer Screening

Wang¹,

Good²,

Fuhrman³

et al. 2006

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Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing this collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden to Department of Defense, Washington Headquarters Services, Directorate for Information PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) 8. PERFORMING ORGANIZATION REPORT NUMBERUniversity of Pittsburgh Pittsburgh, PA, 15260 SPONSORING / MONITORING AGENCY NAME(S) AND ADDRESS(ES) 10. SPONSOR/MONITOR'S ACRONYM(S) U.S. Army Medical Research and Materiel Command Fort Detrick, Maryland 21702-5012 SPONSOR/MONITOR'S REPORT NUMBER(S) DISTRIBUTION / AVAILABILITY STATEMENTApproved for Public Release; Distribution Unlimited SUPPLEMENTARY NOTESOriginal contains colored plates: ALL DTIC reproductions will be in black and white. ABSTRACTThe main purpose of this project is to investigate the feasibility and efficacy of using a stereo display workstation for lung cancer screening on CT images. The tasks included in this project are development and evaluation of stereo image projection and display for chest CT images, observer performance evaluation for the stereo display, and stereo feature analysis and comparison to the conventionally used display methods for lung cancer detection. In the previous report period, we have built a stereo display workstation for chest CT images and conducted a pilot observer performance study. In this annual report period, we have continued the study based on the projected tasks as listed below. 1. Analyzing the results from the pilot study: we applied Free-response Receiver Operating Characteristic (FROC) statistic method to analyze the data from the pilot study for lung nodule detection and classification. Results indicate that the stereo display achieved the best performance followed by the slice-by-slice display, and the conventional MIP display gave the worst performance, although there is no statistically significant difference between the three display modes. Subjective assessment indicates that the stereo display was well accepted by the radiologists. Efficiency measurement indicates that the radiologists spent the least interpretation time with the stereo display when compared to the other two display modes. Further analysis of the radiologists' interpretation patterns indicates that novelty and training effect substantially influenced the radiologists' interpretation behavior and performance. The conclusion from the preliminary results is that we have observed a potential role of stereo display for improving radiologists' performance in medical detection and diagnosis, and also observed some factors likely affecting the performance with new display, such as novelty, training effect and confidence with the new technology, including the stereo display. Appropria...

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Immersive manipulation of virtual objects through glove-based hand gesture interaction

et al. 2011

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Stereo CT Image Compositing Methods for Lung Nodule Detection and Characterization1

Cited by 10 publications

References 15 publications

Characterization of Radiologists’ Search Strategies for Lung Nodule Detection: Slice-Based Versus Volumetric Displays

Characterization of Radiologists’ Search Strategies for Lung Nodule Detection: Slice-Based Versus Volumetric Displays

Development and Evaluation of Stereographic Display for Lung Cancer Screening

Immersive manipulation of virtual objects through glove-based hand gesture interaction

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