Receiver operating characteristic and location analysis of simulated near-infrared tomography images

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Receiver operating characteristic and location analysis of simulated near-infrared tomography images. / Song, Xiaomei; Pogue, Brian W; Dehghani, Hamid; Jiang, Shudong; Paulsen, Keith D; Tosteson, Tor D.

In: Journal of Biomedical Optics, Vol. 12, No. 5, 13.11.2007, p. 054013.

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Song, Xiaomei ; Pogue, Brian W ; Dehghani, Hamid ; Jiang, Shudong ; Paulsen, Keith D ; Tosteson, Tor D. / Receiver operating characteristic and location analysis of simulated near-infrared tomography images. In: Journal of Biomedical Optics. 2007 ; Vol. 12, No. 5. pp. 054013.

Bibtex

@article{4229328ddc364c148a7551bd64ad5454,
title = "Receiver operating characteristic and location analysis of simulated near-infrared tomography images",
abstract = "Receiver operating characteristic (ROC) analysis was performed on simulated near-infrared tomography images, using both human observer and contrast-to-noise ratio (CNR) computational assessment, for application in breast cancer imaging. In the analysis, a nonparametric approach was applied for estimating the ROC curves. Human observer detection of objects had superior capability to localize the presence of heterogeneities when the objects were small with high contrast, with a minimum detectable threshold of CNR near 3.0 to 3.3 in the images. Human observers were able to detect heterogeneities in the images below a size limit of 4 mm, yet could not accurately find the location of these objects when they were below 10 mm diameter. For large objects, the lower limit of a detectable contrast limit was near 10% increase relative to the background. The results also indicate that iterations of the nonlinear reconstruction algorithm beyond 4 did not significantly improve the human detection ability, and degraded the overall localization ability for the objects in the image, predominantly by increasing the noise in the background. Interobserver variance performance in detecting objects in these images was low, suggesting that because of the low spatial resolution, detection tasks with NIR tomography is likely consistent between human observers.",
keywords = "Algorithms, Computer Simulation, Humans, Image Enhancement, Image Interpretation, Computer-Assisted, Models, Biological, Observer Variation, Phantoms, Imaging, ROC Curve, Reproducibility of Results, Sensitivity and Specificity, Spectrophotometry, Infrared, Tomography, Optical",
author = "Xiaomei Song and Pogue, {Brian W} and Hamid Dehghani and Shudong Jiang and Paulsen, {Keith D} and Tosteson, {Tor D}",
year = "2007",
month = nov
day = "13",
doi = "10.1117/1.2799197",
language = "English",
volume = "12",
pages = "054013",
journal = "Journal of Biomedical Optics",
issn = "1083-3668",
publisher = "Society of Photo-Optical Instrumentation Engineers",
number = "5",

}

RIS

TY - JOUR

T1 - Receiver operating characteristic and location analysis of simulated near-infrared tomography images

AU - Song, Xiaomei

AU - Pogue, Brian W

AU - Dehghani, Hamid

AU - Jiang, Shudong

AU - Paulsen, Keith D

AU - Tosteson, Tor D

PY - 2007/11/13

Y1 - 2007/11/13

N2 - Receiver operating characteristic (ROC) analysis was performed on simulated near-infrared tomography images, using both human observer and contrast-to-noise ratio (CNR) computational assessment, for application in breast cancer imaging. In the analysis, a nonparametric approach was applied for estimating the ROC curves. Human observer detection of objects had superior capability to localize the presence of heterogeneities when the objects were small with high contrast, with a minimum detectable threshold of CNR near 3.0 to 3.3 in the images. Human observers were able to detect heterogeneities in the images below a size limit of 4 mm, yet could not accurately find the location of these objects when they were below 10 mm diameter. For large objects, the lower limit of a detectable contrast limit was near 10% increase relative to the background. The results also indicate that iterations of the nonlinear reconstruction algorithm beyond 4 did not significantly improve the human detection ability, and degraded the overall localization ability for the objects in the image, predominantly by increasing the noise in the background. Interobserver variance performance in detecting objects in these images was low, suggesting that because of the low spatial resolution, detection tasks with NIR tomography is likely consistent between human observers.

AB - Receiver operating characteristic (ROC) analysis was performed on simulated near-infrared tomography images, using both human observer and contrast-to-noise ratio (CNR) computational assessment, for application in breast cancer imaging. In the analysis, a nonparametric approach was applied for estimating the ROC curves. Human observer detection of objects had superior capability to localize the presence of heterogeneities when the objects were small with high contrast, with a minimum detectable threshold of CNR near 3.0 to 3.3 in the images. Human observers were able to detect heterogeneities in the images below a size limit of 4 mm, yet could not accurately find the location of these objects when they were below 10 mm diameter. For large objects, the lower limit of a detectable contrast limit was near 10% increase relative to the background. The results also indicate that iterations of the nonlinear reconstruction algorithm beyond 4 did not significantly improve the human detection ability, and degraded the overall localization ability for the objects in the image, predominantly by increasing the noise in the background. Interobserver variance performance in detecting objects in these images was low, suggesting that because of the low spatial resolution, detection tasks with NIR tomography is likely consistent between human observers.

KW - Algorithms

KW - Computer Simulation

KW - Humans

KW - Image Enhancement

KW - Image Interpretation, Computer-Assisted

KW - Models, Biological

KW - Observer Variation

KW - Phantoms, Imaging

KW - ROC Curve

KW - Reproducibility of Results

KW - Sensitivity and Specificity

KW - Spectrophotometry, Infrared

KW - Tomography, Optical

U2 - 10.1117/1.2799197

DO - 10.1117/1.2799197

M3 - Article

C2 - 17994901

VL - 12

SP - 054013

JO - Journal of Biomedical Optics

JF - Journal of Biomedical Optics

SN - 1083-3668

IS - 5

ER -