Signal-known exactly detection performance in tomosynthesis: does volume visualization help human observers?

Reiser, Ingrid; Nishikawa, Robert M.

doi:10.1117/12.913559

Cited by 2 publications

(5 citation statements)

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“…The actual appearance of the signal in the reconstructed tomosynthesis image depends on its location relative to the x-ray source path. This is expected and was the reason for matching signal and ROI location in the first place, because differences due to mismatched geometry are noticeable by human observers, in particular, if the 3D tomosynthesis volume is displayed (Reiser and Nishikawa 2012). To make this more clear, one can inspect a tomosynthesis plane perpendicular to the detector and observe that objects are blurred and slightly tilted toward the center of the xray source path.…”

Section: Discussionmentioning

confidence: 89%

“…Other researchers report 3D performance measures for tomosynthesis (Hu and Zhao, 2011; Gang et al, 2011). We have performed human observer studies to investigate whether readers’ performance increases when the entire volume is shown, rather than the 2D image only, but so far we failed to find clear evidence that human observers can retrieve additional information from the volume, for the task of detecting exactly known signals in a 50°-scan tomosynthesis system (Reiser and Nishikawa, 2012). …”

Section: Discussionmentioning

confidence: 99%

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Validation of a power-law noise model for simulating small-scale breast tissue

2013

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We have validated a small-scale breast tissue model based on power-law noise. A set of 110 patient images served as truth. The statistical model parameters were determined by matching the radially-averaged power-spectrum of the projected simulated tissue with that of the central tomosynthesis patient breast projections. Observer performance in a signal-known exactly detection task in simulated and actual breast backgrounds was compared. Observers included human readers, a pre-whitening observer model and a channelized Hotelling observer model. For all observers, good agreement between performance in the simulated and actual backgrounds was found, both in the tomosynthesis central projections and the reconstructed images. This tissue model can be used for breast x-ray imaging system optimization. The complete statistical description of the model is provided.

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Section: Discussionmentioning

confidence: 89%

Section: Discussionmentioning

confidence: 99%

Validation of a power-law noise model for simulating small-scale breast tissue

2013

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“…The DBT volume has unique properties compared to CT, namely the depth resolution in DBT is non-isotropic and depends on the DBT system scan range as well as the extent of the object in the direction of the X-ray tube scan 26 . Our preliminary studies have indicated that human reader performance does not improve when information on adjacent is provided 27 , 28 …”

Section: Introductionmentioning

confidence: 89%

“…26 Our preliminary studies have indicated that human reader performance does not improve when information on adjacent is provided. 27,28 Hence, in this work, we further explore the question of whether human readers are able to integrate information from adjacent planes in a 3D lesion detection task, for breast imaging both with DBT and bCT. Images for the reader studies were generated using a directional power-law model with embedded spherical and cylindrical targets and "imaged" with both DBT (50 deg scan angle) and bCT (180 deg scan angle).…”

Section: Introductionmentioning

confidence: 99%

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Lesion detection in digital breast tomosynthesis: human reader experiments indicate no benefit from the integration of information from multiple planes

et al. 2023

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In digital breast tomosynthesis (DBT), radiologists need to review a stack of 20 to 80 tomosynthesis images, depending upon breast size. This causes a significant increase in reading time. However, it is currently unknown whether there is a perceptual benefit to viewing a mass in the 3D tomosynthesis volume. To answer this question, this study investigated whether adjacent lesion-containing planes provide additional information that aids lesion detection for DBT-like and breast CT-like (bCT) images.Method: Human reader detection performance was determined for low-contrast targets shown in a single tomosynthesis image at the center of the target (2D) or shown in the entire tomosynthesis image stack (3D). Using simulations, targets embedded in simulated breast backgrounds, and images were generated using a DBT-like (50 deg angular range) and a bCT-like (180 deg angular range) imaging geometry. Experiments were conducted with spherical and capsule-shaped targets. Eleven readers reviewed 1600 images in two-alternative forced-choice experiments. The area under the receiver operating characteristic curve (AUC) and reading time were computed for the 2D and 3D reading modes for the DBT and bCT imaging geometries and for both target shapes.Results: Spherical lesion detection was higher in 2D mode than in 3D, for both DBT-and bCT-like images (DBT: AUC 2D ¼ 0.790, AUC 3D ¼ 0.735, P ¼ 0.03; bCT: AUC 2D ¼ 0.869, AUC 3D ¼ 0.716, P < 0.05), but equivalent for capsule-shaped signals (DBT: AUC 2D ¼ 0.891, AUC 3D ¼ 0.915, P ¼ 0.19; bCT: AUC 2D ¼ 0.854, AUC 3D ¼ 0.847, P ¼ 0.88). Average reading time was up to 134% higher for 3D viewing (P < 0.05).Conclusions: For the detection of low-contrast lesions, there is no inherent visual perception benefit to reviewing the entire DBT or bCT stack. The findings of this study could have implications for the development of 2D synthetic mammograms: a single synthesized 2D image designed to include all lesions present in the volume might allow readers to maintain detection performance at a significantly reduced reading time.

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Signal-known exactly detection performance in tomosynthesis: does volume visualization help human observers?

Cited by 2 publications

References 10 publications

Validation of a power-law noise model for simulating small-scale breast tissue

Validation of a power-law noise model for simulating small-scale breast tissue

Lesion detection in digital breast tomosynthesis: human reader experiments indicate no benefit from the integration of information from multiple planes

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