Channelized Hotelling observers for the assessment of volumetric imaging data sets

Platiša, Ljiljana; Goossens, Bart; Vansteenkiste, Ewout; Park, Subok; Gallas, Brandon D.; Badano, Aldo; Philips, Wilfried

doi:10.1364/josaa.28.001145

Cited by 88 publications

(131 citation statements)

References 45 publications

Supporting

Mentioning

130

Contrasting

Order By: Relevance

“…45,57 Efficient channels reduce the data dimensions as much as possible while yielding approximately the same AUC as the original (non-reduced) data. In other words, AUC CHO /AUC HO ≈ 1 for an efficient CHO.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

A virtual trial framework for quantifying the detectability of masses in breast tomosynthesis projection data

et al. 2013

Self Cite

View full text Add to dashboard Cite

Purpose: Digital breast tomosynthesis (DBT) is a promising breast cancer screening tool that has already begun making inroads into clinical practice. However, there is ongoing debate over how to quantitatively evaluate and optimize these systems, because different definitions of image quality can lead to different optimal design strategies. Powerful and accurate tools are desired to extend our understanding of DBT system optimization and validate published design principles. Methods: The authors developed a virtual trial framework for task-specific DBT assessment that uses digital phantoms, open-source x-ray transport codes, and a projection-space, spatial-domain observer model for quantitative system evaluation. The authors considered evaluation of reconstruction algorithms as a separate problem and focused on the information content in the raw, unfiltered projection images. Specifically, the authors investigated the effects of scan angle and number of angular projections on detectability of a small (3 mm diameter) signal embedded in randomly-varying anatomical backgrounds. Detectability was measured by the area under the receiver-operating characteristic curve (AUC). Experiments were repeated for three test cases where the detectability-limiting factor was anatomical variability, quantum noise, or electronic noise. The authors also juxtaposed the virtual trial framework with other published studies to illustrate its advantages and disadvantages. Results: The large number of variables in a virtual DBT study make it difficult to directly compare different authors' results, so each result must be interpreted within the context of the specific virtual trial framework. The following results apply to 25% density phantoms with 5.15 cm compressed thickness and 500 μm 3 voxels (larger 500 μm 2 detector pixels were used to avoid voxel-edge artifacts): 1. For raw, unfiltered projection images in the anatomical-variability-limited regime, AUC appeared to remain constant or increase slightly with scan angle. 2. In the same regime, when the authors fixed the scan angle, AUC increased asymptotically with the number of projections. The threshold number of projections for asymptotic AUC performance depended on the scan angle. In the quantum-and electronic-noise dominant regimes, AUC behaviors as a function of scan angle and number of projections sometimes differed from the anatomy-limited regime. For example, with a fixed scan angle, AUC generally decreased with the number of projections in the electronic-noise dominant regime. These results are intended to demonstrate the capabilities of the virtual trial framework, not to be used as optimization rules for DBT. Conclusions:The authors have demonstrated a novel simulation framework and tools for evaluating DBT systems in an objective, task-specific manner. This framework facilitates further investigation of image quality tradeoffs in DBT.

show abstract

Section: Discussionmentioning

confidence: 99%

“…In addition, the effects of using rotationally-symmetric LG channels on asymmetric signals have not been thoroughly investigated, to our knowledge. New 3D observer model and channel designs, like those proposed by Platiša et al, 57 could improve our understanding of the theoretical limits of detectability.…”

Section: Discussionmentioning

confidence: 99%

A virtual trial framework for quantifying the detectability of masses in breast tomosynthesis projection data

et al. 2013

Self Cite

View full text Add to dashboard Cite

show abstract

“…[6], could be used for human-like assessment of multi-slice images. We outline here the basic principles of the msCHO model design (hereafter referred as msCHO).…”

Section: A Multi-slice Cho (Mscho)mentioning

confidence: 99%

“…In the first stage, the observer pre-processes the image stack in planar view ( -plane), slice after slice, and buffers the scores obtained for each slice. To model this, first, a filter bank of 2D channels, U = [U (1) , ..., U ( ) ], applied on the grayscale image pixel Upsampled msCHO (umsCHO) model design adapted from an existing msCHO model [6]. While the msCHO is limited to the end-offrame post-LCD image data, the umsCHO model has access to both the intraframe and the end-of-frame post-LCD image data.…”

Section: A Multi-slice Cho (Mscho)mentioning

confidence: 99%

See 1 more Smart Citation

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

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Evaluation of Digital Breast Tomosynthesis as Replacement of Full-Field Digital Mammography Using an In Silico Imaging Trial

et al. 2018

Self Cite

View full text Add to dashboard Cite

Key Points Question Can in silico imaging trials play a role in the evaluation of new medical imaging systems? Findings This diagnostic study used computer-simulated imaging of 2986 synthetic image–based virtual patients to compare digital mammography and digital breast tomosynthesis and found an improved lesion detection performance favoring tomosynthesis for all breast sizes and lesion types. The increased performance for tomosynthesis was consistent with results from a comparative trial using human patients and radiologists. Meaning The study’s findings suggest that in silico imaging trials and imaging system computer simulation tools can in some cases be considered viable sources of evidence for the regulatory evaluation of imaging devices.

show abstract

Channelized Hotelling observers for the assessment of volumetric imaging data sets

Cited by 88 publications

References 45 publications

A virtual trial framework for quantifying the detectability of masses in breast tomosynthesis projection data

A virtual trial framework for quantifying the detectability of masses in breast tomosynthesis projection data

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

Evaluation of Digital Breast Tomosynthesis as Replacement of Full-Field Digital Mammography Using an In Silico Imaging Trial

Contact Info

Product

Resources

About