Performance evaluation of medical LCD displays using 3D channelized Hotelling observers

Platiša, Ljiljana; Marchessoux, Cédric; Goossens, Bart; Philips, Wilfried

doi:10.1117/12.878623

Cited by 3 publications

(11 citation statements)

References 16 publications

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“…These "delayed" or "incomplete" changes in target luminance transitions result in the reduced effective luminance contrast of details in medical images. Consequently, the detection performance in stack-mode reading of volumetric images may be degraded, as previously shown in the literature [1], [3], [4].…”

Section: B Temporal Response Models For Medical Lcdsmentioning

confidence: 91%

“…3 for an illustration). The display parameters in our display simulations correspond to a 5MP 10-bit medical grayscale LCD for full-field digital mammography [4]. The luminance response curve and matrix of the liquid crystal director reorientation times for the given display are shown in Fig.…”

Section: B Temporal Response Models For Medical Lcdsmentioning

confidence: 99%

“…Recent results on using model observers to assess effects of slow temporal response of medical LCDs on the detection performance reported Platisa et al [3], [4] suggest that the msCHO model, especially the msCHO variant from Ref. [6], could be used for human-like assessment of multi-slice images.…”

Section: A Multi-slice Cho (Mscho)mentioning

confidence: 99%

“…Moreover, such methods are inadequate to capture the full effects of the techniques for response time compensation (overdrive technologies) used in today's high-end medical LCDs [4], [7], [8]. At the same time, studies with humans indicate a clear benefit of applying such techniques [5].…”

mentioning

confidence: 99%

“…The two approaches, msCHO and umsCHO, are compared on a set of synthesized 3D images under browsing rates of 16.67, 25 and 50 fps. In order to investigate the influence of the luminance change profiles on the performance of the two models, we consider two different temporal response models of an LCD: a linear model, previously used in the studies by Liang et al [1] and Platiša et al [3], and the model proposed by Wang et al [9], used in a more recent experimental study by Platiša et al [4]. In addition, as a point of reference in evaluating the performance of the two models, we consider the case in which the browsing effects are ignored ("static" display mode).…”

mentioning

confidence: 99%

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Channelized Hotelling observers for signal detection in stack-mode reading of volumetric images on medical displays with slow response time

Platiša

Marchessoux²,

Kimpe³

et al. 2011

2011 IEEE Nuclear Science Symposium Conference Record

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Abstract-Volumetric medical images are commonly read in stack-browsing mode. However, previous studies suggest that slow temporal response of medical liquid crystal displays may degrade the diagnostic accuracy (lesion detectability) at browsing rates as low as 10 frames per second (fps). Recently, a multi-slice channelized Hotelling observer (msCHO) model was proposed to estimate the detection performance in 3D images. This implementation of the msCHO restricted the analysis to the luminance of a display pixel at the end of the frame time (end-of-frame luminance) while ignoring the luminance transition within the frame time (intra-frame luminance). Such an approach fails to differentiate between, for example, the commonly found case of two displays with different temporal profiles of luminance as long as their end-of-frame luminance levels are the same. In order to overcome this limitation of the msCHO, we propose a new upsampled msCHO (umsCHO) which acts on images obtained using both the intra-frame and the end-of-frame luminance information. The two models are compared on a set of synthesized 3D images for a range of browsing rates (16.67, 25 and 50 fps). Our results demonstrate that, depending on the details of the luminance transition profiles, neglecting the intra-frame luminance information may lead to over-or underestimation of lesion detectability. Therefore, we argue that using the umsCHO rather than msCHO model is more appropriate for estimating the detection performance in the stack-browsing mode.

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Section: B Temporal Response Models For Medical Lcdsmentioning

confidence: 91%

Section: B Temporal Response Models For Medical Lcdsmentioning

confidence: 99%

Section: A Multi-slice Cho (Mscho)mentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Channelized Hotelling observers for signal detection in stack-mode reading of volumetric images on medical displays with slow response time

Platiša

Marchessoux²,

Kimpe³

et al. 2011

2011 IEEE Nuclear Science Symposium Conference Record

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show abstract

Effects of Medical Display Luminance, Contrast and Temporal Compensation on CHO Detection Performance at Various Browsing Speeds and on Digital Breast Tomosynthesis Images

et al. 2012

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Integration of spatio-temporal contrast sensitivity with a multi-slice channelized Hotelling observer

Avanaki¹,

Espig²,

Marchessoux

et al. 2013

Medical Imaging 2013: Image Perception, Observer Performance, and Technology Assessment

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Barten's model of spatio-temporal contrast sensitivity function of human visual system is embedded in a multi-slice channelized Hotelling observer. This is done by 3D filtering of the stack of images with the spatio-temporal contrast sensitivity function and feeding the result (i.e., the perceived image stack) to the multi-slice channelized Hotelling observer. The proposed procedure of considering spatio-temporal contrast sensitivity function is generic in the sense that it can be used with observers other than multi-slice channelized Hotelling observer. Detection performance of the new observer in digital breast tomosynthesis is measured in a variety of browsing speeds, at two spatial sampling rates, using computer simulations. Our results show a peak in detection performance in mid browsing speeds. We compare our results to those of a human observer study reported earlier (I. Diaz et al. SPIE MI 2011). The effects of display luminance, contrast and spatial sampling rate, with and without considering foveal vision, are also studied. Reported simulations are conducted with real digital breast tomosynthesis image stacks, as well as stacks from an anthropomorphic software breast phantom (P. Bakic et al. Med Phys. 2011). Lesion cases are simulated by inserting single micro-calcifications or masses. Limitations of our methods and ways to improve them are discussed.

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Performance evaluation of medical LCD displays using 3D channelized Hotelling observers

Cited by 3 publications

References 16 publications

Channelized Hotelling observers for signal detection in stack-mode reading of volumetric images on medical displays with slow response time

Channelized Hotelling observers for signal detection in stack-mode reading of volumetric images on medical displays with slow response time

Effects of Medical Display Luminance, Contrast and Temporal Compensation on CHO Detection Performance at Various Browsing Speeds and on Digital Breast Tomosynthesis Images

Integration of spatio-temporal contrast sensitivity with a multi-slice channelized Hotelling observer

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