Enhanced Visualization Processing

Krupiński, Elizabeth A.; Radvany, Martin G.; Levy, Allen; Ballenger, Daniel; Tucker, Jonathan E.; Chacko, Anna K.; VanMetter, Richard L.

doi:10.1016/s1076-6332(03)80725-0

Cited by 21 publications

(11 citation statements)

References 20 publications

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“…The effects on sensitivity and specificity of nodule detection were quite limited, but improvements were found in detection confidence, a subjective criterion reflecting how confident a reader feels about a diagnostic decision. This is consistent with other reports on improved diagnostic satisfaction with increased latitude image postprocessing [3,35]. Image reading and diagnostic decisions are facilitated, although this alone does not guarantee improved diagnostic accuracy.…”

Section: Clinical Relevancesupporting

confidence: 90%

“…In clinical practice, image processing methods with automatic tone scale rendering and latitude and contrast enhancement are rather welcome for producing display ready hardcopies or minimizing the time required for image manipulation during softcopy reading [3,13,18,[32][33][34]. These effects on clinical work flow were documented recently [35]. For this purpose, increased latitude post-processing will be applied at fixed levels between 1.5 and 2.0 before the images are saved for viewing or hardcopy printing.…”

Section: Clinical Relevancementioning

confidence: 99%

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Pulmonary nodule detection with digital projection radiography: an ex-vivo study on increased latitude post-processing

et al. 2006

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To evaluate increased image latitude post-processing of digital projection radiograms for the detection of pulmonary nodules. 20 porcine lungs were inflated inside a chest phantom, prepared with 280 solid nodules of 4-8 mm in diameter and examined with direct radiography (3.0x2.5 k detector, 125 kVp, 4 mAs). Nodule position and size were documented by CT controls and dissection. Four intact lungs served as negative controls. Image post-processing included standard tone scales and increased latitude with detail contrast enhancement (log-factors 1.0, 1.5 and 2.0). 1280 sub-images (512x512 pixel) were centred on nodules or controls, behind the diaphragm and over free parenchyma, randomized and presented to six readers. Confidence in the decision was recorded with a scale of 0-100%. Sensitivity and specificity for nodules behind the diaphragm were 0.87/0.97 at standard tone scale and 0.92/0.92 with increased latitude (log factor 2.0). The fraction of "not diagnostic" readings was reduced (from 208/1920 to 52/1920). As an indicator of increased detection confidence, the median of the ratings behind the diaphragm approached 100 and 0, respectively, and the inter-quartile width decreased (controls: p<0.001, nodules: p=0.239) at higher image latitude. Above the diaphragm, accuracy and detection confidence remained unchanged. Here, the sensitivity for nodules was 0.94 with a specificity from 0.96 to 0.97 (all p>0.05). Increased latitude post-processing has minimal effects on the overall accuracy, but improves the detection confidence for sub-centimeter nodules in the posterior recesses of the lung.

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Section: Clinical Relevancesupporting

confidence: 90%

Section: Clinical Relevancementioning

confidence: 99%

Pulmonary nodule detection with digital projection radiography: an ex-vivo study on increased latitude post-processing

et al. 2006

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“…[3][4][5][6] These processing protocols have been perfected and customized for speci®c examination types (eg, chest versus rib versus hip); however, as Andriole et al 7 point out, the preferred type of postprocessing manipulation diers depending on the varying disease processes and anatomic regions of interest. Based on these factors, we determined that several image manipulations, performed in sequence, should be used to optimize diagnostic accuracy.…”

Section: Discussionmentioning

confidence: 99%

Automated Hands-Free Image Manipulation and Viewing: A Useful Macro Feature that Assists Radiologists in the Viewing of Chest and Extremity Digital Radiographs

Koenker

Grover²

2002

Journal of Digital Imaging

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The authors present an adaptation of the macro recording feature on the Siemens Magic View 1000 workstation, which, with the click of one button, launches a macro that performs 3 clinically useful image manipulations. Using a Magic View 1004 Siemens unix workstation, the following Macro sequence was programmed: (1) select all images, (2) reverse grayscale, (3) edge enhancement, (4) display full-resolution all screens, (5) reverse grayscale, (6) enable zoom/pan function. This sequence of commands takes 11 seconds to complete for a 2-view chest x-ray, and 16 seconds for a 3-view hand series. A pause occurs while the CPU performs the edge enhancement algorithm; this "pause" is used to provide time for the radiologist to assess the images. The time to implement and view these manipulations is reduced dramatically with the automatic viewing macro. More importantly, because the macro takes over the workstation operation, radiologist attention can be focused totally on image assessment and interpretation. Automatic hands-free image manipulation can improve the speed and accuracy of radiologist interpretation for both chest and extremity digital radiography.

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“…E.A. Krupinski has written extensively on the topic of image perception as it is affected and enhanced by digital image acquisition and associated computer driven softcopy displays [16][17][18] . Her research into the topic has emphasized the need for perceptually based standards for image quality based on quantifiable data that define the optimal presentation parameters (e.g., size, luminance levels, and spatial and contrast resolution).…”

Section: Image Perceptionmentioning

confidence: 99%

Transforming the radiological interpretation process: the SCAR TRIP initiative

et al. 2004

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The Society for Computer Applications in Radiology (SCAR) Transforming the Radiological Interpretation Process (TRIP TM ) Initiative aims to spearhead research, education, and discovery of innovative solutions to address the problem of information and image data overload. The initiative will foster inter-disciplinary research on technological, environmental and human factors to better manage and exploit the massive amounts of data. TRIP TM will focus on the following basic objectives: improving the efficiency of interpretation of large data sets, improving the timeliness and effectiveness of communication, and decreasing medical errors. The ultimate goal of the initiative is to improve the quality and safety of patient care. Interdisciplinary research into several broad areas will be necessary to make progress in managing the ever-increasing volume of data. The six concepts involved include: human perception, image processing and computer-aided detection (CAD), visualization, navigation and usability, databases and integration, and evaluation and validation of methods and performance. The result of this transformation will affect several key processes in radiology, including image interpretation; communication of imaging results; workflow and efficiency within the health care enterprise; diagnostic accuracy and a reduction in medical errors; and, ultimately, the overall quality of care.

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Enhanced Visualization Processing

Cited by 21 publications

References 20 publications

Pulmonary nodule detection with digital projection radiography: an ex-vivo study on increased latitude post-processing

Pulmonary nodule detection with digital projection radiography: an ex-vivo study on increased latitude post-processing

Automated Hands-Free Image Manipulation and Viewing: A Useful Macro Feature that Assists Radiologists in the Viewing of Chest and Extremity Digital Radiographs

Transforming the radiological interpretation process: the SCAR TRIP initiative

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