Prof. Mini Das Profile

Prof. Mini Das

Professor at Univ of Houston

SPIE Involvement:

Conference Program Committee | Editorial Board Member: Journal of Medical Imaging | Author | Women in Optics Speaker

Publications (51)

SPIE Journal Paper | 31 December 2024

Examining the influence of digital phantom models in virtual imaging trials for tomographic breast imaging

Amar Kavuri, Mini Das

JMI, Vol. 12, Issue 01, 015501, (December 2024) https://doi.org/10.1117/12.10.1117/1.JMI.12.1.015501

KEYWORDS: Breast, Digital breast tomosynthesis, Imaging systems, Breast density, Anatomy, Diagnostics, Tomography, Systems modeling, Spherical lenses, Quantum modeling

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SPIE Journal Paper | 30 December 2024 Open Access

Photon Counting: Detectors and Applications

Patrick La Riviere, Mini Das

JMI, Vol. 11, Issue S1, S12801, (December 2024) https://doi.org/10.1117/12.10.1117/1.JMI.11.S1.S12801

KEYWORDS: Sensors, Photon counting, Biomedical applications, Industrial applications, X-ray computed tomography, Tissues, Spectral resolution, Scanners, Contrast agents, X-rays

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SPIE Journal Paper | 27 December 2024

Iterative clustering material decomposition aided by empirical spectral correction for photon counting detectors in micro-CT

J. Carlos Rodriguez Luna, Mini Das

JMI, Vol. 11, Issue S1, S12810, (December 2024) https://doi.org/10.1117/12.10.1117/1.JMI.11.S1.S12810

KEYWORDS: Polymethylmethacrylate, Voxels, Sensors, Attenuation correction, Windows, Signal attenuation, Calibration, Attenuation, Mixtures, Tissues

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PurposePhoton counting detectors offer promising advancements in computed tomography (CT) imaging by enabling the quantification and three-dimensional imaging of contrast agents and tissue types through simultaneous multi-energy projections from broad X-ray spectra. However, the accuracy of these decomposition methods hinges on precise composite spectral attenuation values that one must reconstruct from spectral micro-CT. Errors in such estimations could be due to effects such as beam hardening, object scatter, or detector sensor–related spectral distortions such as fluorescence. Even if accurate spectral correction is done, multi-material separation within a volume remains a challenge. Increasing the number of energy bins in material decomposition problems often comes with a significant noise penalty but with minimal decomposition benefits.ApproachWe begin with an empirical spectral correction method executed in the tomographic domain that accounts for distortions in estimated spectral attenuation for each voxel. This is followed by our proposed iterative clustering material decomposition (ICMD) where clustering of voxels is used to reduce the number of basis materials to be resolved for each cluster. Using a larger number of energy bins for the clustering step shows distinct advantages in excellent classification to a larger number of clusters with accurate cluster centers when compared with the National Institute of Standards and Technology attenuation values. The decomposition step is applied to each cluster separately where each cluster has fewer basis materials compared with the entire volume. This is shown to reduce the need for the number of energy bins required in each decomposition step for the clusters. This approach significantly increases the total number of materials that can be decomposed within the volume with high accuracy and with excellent noise properties.ResultsUtilizing a (cadmium telluride 1-mm-thick sensor) Medipix detector with a 55-μm pitch, we demonstrate the quantitatively accurate decomposition of several materials in a phantom study, where the sample includes mixtures of soft materials such as water and poly-methyl methacrylate along with contrast-enhancing materials. We show improved accuracy and lower noise when all five energy bins were used to yield effective classification of voxels into multiple accurate fundamental clusters which was followed by the decomposition step applied to each cluster using just two energy bins. We also show an example of biological sample imaging and separating three distinct types of tissue in mice: muscle, fat, and bone. Our experimental results show that the combination of effective and practical spectral correction and high-dimensional data clustering enhances decomposition accuracy and reduces noise in micro-CT.ConclusionsThis ICMD allows for quantitative separation of multiple materials including mixtures and also effectively separates multi-contrast agents.

Proceedings Article | 3 April 2024 Paper

Image texture aided spectral CT material decomposition

J. C. Rodriguez Luna, Diego Andrade, Mini Das

Proceedings Volume 12925, 129252K (2024) https://doi.org/10.1117/12.3008896

KEYWORDS: Windows, Cooccurrence matrices, Sensors, Computed tomography, Polymethylmethacrylate, Attenuation correction, Signal attenuation, Attenuation, Voxels, Tissues

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Proceedings Article | 3 April 2024 Paper

Single-mask phase imaging micro-computed tomography with multi-contrast images and single-shot per projection angle

Jingcheng Yuan, Ian Harmon, J. Rodriguez Luna, Mini Das

Proceedings Volume 12925, 129253R (2024) https://doi.org/10.1117/12.3008801

KEYWORDS: Sensors, X-rays, Phase contrast, X-ray imaging, Imaging systems, Attenuation, Absorption, X-ray computed tomography, CT reconstruction, Phase imaging

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Proceedings Article | 1 April 2024 Paper

Boundary artifact reduction in projection-based material decomposition using cluster analysis in Timepix3 detector

J. C. Rodriguez Luna, Mini Das

Proceedings Volume 12925, 1292532 (2024) https://doi.org/10.1117/12.3008838

KEYWORDS: Sensors, Attenuation, Polymethylmethacrylate, Photon counting, X-rays, Aluminum, Tissues, Image enhancement, Biomedical optics, X-ray imaging

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Proceedings Article | 1 April 2024 Paper

A multimodal, mechanically accurate breast phantom for mimicking compression-induced tumor hemodynamics with optical and x-ray imaging

Anthony Donaldson, Ian Harmon, Mini Das

Proceedings Volume 12925, 129254F (2024) https://doi.org/10.1117/12.3008855

KEYWORDS: Breast, Polyvinyl alcohol, Hemodynamics, X-rays, X-ray optics, Balloons, Near infrared spectroscopy, Adipose tissue, Tumors, X-ray imaging

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Proceedings Article | 29 March 2024 Presentation + Paper

Image texture-based classification methods to mimic perceptual models of search and localization in medical images

Diego Andrade, Howard Gifford, Mini Das

Proceedings Volume 12929, 129290V (2024) https://doi.org/10.1117/12.3008844

KEYWORDS: Visualization, Cooccurrence matrices, Medical imaging, Image classification, Volume rendering, Visual process modeling, Data modeling, Signal detection, Physics, Mixtures

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Proceedings Article | 15 June 2023 Presentation

Quantum processing detectors for computational x-ray phase imaging (Conference Presentation)

Mini Das

Proceedings Volume PC12523, PC1252306 (2023) https://doi.org/10.1117/12.2667185

KEYWORDS: X-ray imaging, Sensors, Phase imaging, X-rays, X-ray detectors, Quantum processing, Target detection, Image enhancement, Tissues, Single photon

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Proceedings Article | 7 April 2023 Poster + Paper

Spectral correction using dual-material signal-to-thickness calibration

J. C. Rodriguez Luna, Ian Harmon, Mini Das

Proceedings Volume 12463, 124634Q (2023) https://doi.org/10.1117/12.2659079

KEYWORDS: Calibration, Attenuation, Aluminum, Polymethylmethacrylate, Attenuation correction, Photon counting, Education and training, Signal attenuation, Materials properties, Biological samples

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Proceedings Article | 7 April 2023 Poster + Paper

Development of a dynamic phantom for near infra-red optical and computed tomographic brain imaging

Anthony Donaldson, Diego Andrade, Juan Carlos Rodriguez Luna, Mini Das

Proceedings Volume 12463, 124634R (2023) https://doi.org/10.1117/12.2659081

KEYWORDS: Optical properties, X-ray computed tomography, X-ray imaging, Hydrogels, X-rays, Tissues, X-ray optics, Scattering, Brain imaging, Tomography

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Proceedings Article | 7 April 2023 Poster + Paper

Multi-modality GLCM image texture feature for segmentation and tissue classification

Diego Andrade, Howard Gifford, Mini Das

Proceedings Volume 12463, 124634P (2023) https://doi.org/10.1117/12.2659078

KEYWORDS: Cooccurrence matrices, Tissues, Magnetic resonance imaging, Image classification, Image segmentation, Breast, Digital breast tomosynthesis, Volume rendering, Data modeling, Cancer

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Proceedings Article | 15 March 2023 Presentation + Paper

Sensitivity of functional near-infrared spectroscopy to optical properties in brain imaging

Anthony Donaldson, Diego Andrade, Mini Das

Proceedings Volume 12363, 1236305 (2023) https://doi.org/10.1117/12.2657054

KEYWORDS: Data modeling, Error analysis, Head, Near infrared spectroscopy, Optical properties, Mathematical modeling, Modeling, Brain imaging, Turbidity, Tissues

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Proceedings Article | 11 April 2022 Presentation + Paper

Tissue classification and contrast agent separation in spectral micro CT using Medipix3 CdTe detector

Juan Luna, Ian Harmon, Mini Das

Proceedings Volume PC12031, PC120310N (2022) https://doi.org/10.1117/12.2613361

KEYWORDS: Sensors, Signal attenuation, Polymethylmethacrylate, Tissues, Calibration, CT reconstruction, Iodine, Distortion, Bone, X-ray imaging

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Proceedings Article | 11 April 2022 Poster + Paper

Comparing SNR benefits of single-mask edge-illumination and free-space propagation x-ray phase contrast imaging

Jingcheng Yuan, Ian Harmon, Mini Das

Proceedings Volume PC12031, PC120310X (2022) https://doi.org/10.1117/12.2613808

KEYWORDS: X-rays, Sensors, Signal to noise ratio, Phase contrast, X-ray imaging, X-ray detectors, Photons, Image retrieval, Signal attenuation, Monte Carlo methods

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Proceedings Article | 5 April 2022 Presentation + Paper

Sources of image texture variation in tomographic breast imaging

Diego Andrade, Amar Kavuri, Mini Das

Proceedings Volume PC12035, PC120350A (2022) https://doi.org/10.1117/12.2614334

KEYWORDS: Breast, Digital breast tomosynthesis, Medical imaging, Image filtering, Breast imaging, Tomography, Image processing, Cancer, Analytical research, Digital imaging

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Proceedings Article | 16 March 2020 Paper

Spectral signatures from small angle x-ray scattering for breast cancer discrimination

J. C. Rodriguez Luna, Chandandeep Nagi, Mini Das

Proceedings Volume 11312, 113125B (2020) https://doi.org/10.1117/12.2550591

KEYWORDS: Scattering, Sensors, X-rays, Tissues, Breast, Photon counting, Spectroscopy, Breast cancer, X-ray sources, X-ray detectors

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Proceedings Article | 16 March 2020 Presentation + Paper

Low dose and high SNR phase retrieval and micro CT using a wide area photon counting detector

Ian Harmon, Ivan Vazquez, Mini Das

Proceedings Volume 11312, 113121C (2020) https://doi.org/10.1117/12.2550548

KEYWORDS: Sensors, Phase retrieval, Absorption, Signal to noise ratio, Photon counting, Phase contrast, Computed tomography, Signal attenuation, X-rays, Algorithm development

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Proceedings Article | 16 March 2020 Presentation + Paper

Bone density quantification via material decomposition in an arthritic mouse model using photon counting spectral CT

Nathaniel Fredette, Chandra Mohan, Mini Das

Proceedings Volume 11312, 113121G (2020) https://doi.org/10.1117/12.2550543

KEYWORDS: Bone, Arthritis, Sensors, Tissues, Computed tomography, Photon counting, Signal attenuation, Ear, Mouse models, Cartilage

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Proceedings Article | 3 April 2019 Paper

Quantitative phase retrieval of heterogeneous samples from spectral x-ray measurements

Ivan Vazquez, Nathaniel Fredette, Mini Das

Proceedings Volume 10948, 109484R (2019) https://doi.org/10.1117/12.2513513

KEYWORDS: Phase retrieval, Data acquisition, Photon counting, Sensors, Free space, Coded apertures, Tissues, Bone, Polymethylmethacrylate, Aluminum

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Proceedings Article | 3 April 2019 Paper

Experimental validation of a multi-step material decomposition method for spectral CT

Nathaniel Fredette, Stefano Vespucci, Mini Das

Proceedings Volume 10948, 109482T (2019) https://doi.org/10.1117/12.2513503

KEYWORDS: Gadolinium, Sensors, Signal attenuation, Silicon, Computed tomography, X-rays, Iodine, Calibration, X-ray computed tomography, Photon counting

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Proceedings Article | 3 April 2019 Presentation + Paper

Single-exposure contrast enhanced spectral mammography

Raul Torrico, Amar Kavuri, Cale Lewis, Mini Das

Proceedings Volume 10948, 1094802 (2019) https://doi.org/10.1117/12.2513515

KEYWORDS: Sensors, Iodine, Mammography, Signal attenuation, Breast, Signal to noise ratio, Tissues, Photon counting, Breast imaging, X-rays, Dual energy imaging

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Proceedings Article | 13 March 2019 Paper

Contribution of scatter and beam hardening to phase contrast imaging

Cale Lewis, Ivan Vazquez, Stefano Vespucci, Mini Das

Proceedings Volume 10948, 109485G (2019) https://doi.org/10.1117/12.2513512

KEYWORDS: Sensors, Phase contrast, X-rays, Absorption, Signal attenuation, Polymethylmethacrylate, X-ray imaging, Phase measurement, X-ray sources, Beam propagation method, Compton scattering

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Proceedings Article | 9 March 2018 Presentation + Paper

Examining phase contrast sensitivity to signal location and tissue thickness in breast imaging

Stefano Vespucci, Cale Lewis, Chan Soo Park, Mini Das

Proceedings Volume 10573, 1057324 (2018) https://doi.org/10.1117/12.2294968

KEYWORDS: Polymethylmethacrylate, X-rays, Coded apertures, Phase contrast, X-ray imaging, Signal detection, Tissues, Breast, Sensors, Free space

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Proceedings Article | 9 March 2018 Paper

A sensitivity analysis on parameters that affect a multi-step material decomposition for spectral CT

Nathaniel Fredette, Amar Kavuri, Mini Das

Proceedings Volume 10573, 105734K (2018) https://doi.org/10.1117/12.2294956

KEYWORDS: Gold, Signal attenuation, Sensors, Data modeling, Calcium, Electronic filtering, Iodine, Filtering (signal processing), Computed tomography, Signal to noise ratio

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Proceedings Article | 9 March 2018 Presentation + Paper

Investigating the contributions of anatomical variations and quantum noise to image texture in digital breast tomosynthesis

William Nisbett, Amar Kavuri, Mini Das

Proceedings Volume 10573, 105730H (2018) https://doi.org/10.1117/12.2294981

KEYWORDS: Digital breast tomosynthesis, Breast, Medical imaging, Image filtering, Tumor growth modeling, Image analysis, Image quality, Imaging systems, Data modeling, Computer simulations

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Proceedings Article | 9 March 2018 Paper

Spectrally varying spatial frequency properties of a small pixel photon counting detector

Stefano Vespucci, Mini Das

Proceedings Volume 10573, 1057350 (2018) https://doi.org/10.1117/12.2294975

KEYWORDS: Sensors, Modulation transfer functions, Scanning probe microscopy, Spectroscopy, Spatial frequencies, Photon counting, Electronics, X-rays, X-ray fluorescence spectroscopy, Signal detection

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Proceedings Article | 7 March 2018 Paper

Assessment of DBT acquisition parameters for 2D and 3D search tasks

Howard Gifford, Mini Das

Proceedings Volume 10577, 105770I (2018) https://doi.org/10.1117/12.2294984

KEYWORDS: Digital breast tomosynthesis, 3D acquisition, 3D modeling, 3D image processing, Breast, 3D image reconstruction, Reconstruction algorithms, Binary data, Image filtering, Image quality

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Proceedings Article | 7 March 2018 Presentation + Paper

Interaction of anatomic and quantum noise in DBT power spectrum

Amar Kavuri, Nathaniel Fredette, Mini Das

Proceedings Volume 10577, 105770G (2018) https://doi.org/10.1117/12.2295218

KEYWORDS: Digital breast tomosynthesis, Breast, Denoising, Filtering (signal processing), Image filtering, Mammography, Electronic filtering, Tissues, Optical filters, Signal detection

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Proceedings Article | 10 March 2017 Presentation + Paper

On the impact of local image texture parameters on search and localization in digital breast imaging

William Nisbett, Amareswararao Kavuri, Nathaniel Fredette, Mini Das

Proceedings Volume 10136, 1013607 (2017) https://doi.org/10.1117/12.2256113

KEYWORDS: Digital breast tomosynthesis, Digital imaging, Image processing, Breast, Tomography, Breast imaging, Imaging systems, Image display, Signal detection, Statistical analysis, Medical imaging, Tumor growth modeling, X-ray computed tomography

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Proceedings Article | 10 March 2017 Paper

Visual-search models for location-known detection tasks

H. Gifford, Z. Karbaschi, K. Banerjee, M. Das

Proceedings Volume 10136, 1013612 (2017) https://doi.org/10.1117/12.2254456

KEYWORDS: Visual process modeling, Statistical modeling, Nuclear medicine, Signal to noise ratio, Performance modeling, Eye models, Eye, Mathematical modeling, Image filtering

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Proceedings Article | 9 March 2017 Paper

Impact of Compton scatter on material decomposition using a photon counting spectral detector

Cale Lewis, Chan-Soo Park, Nathaniel Fredette, Mini Das

Proceedings Volume 10132, 101323T (2017) https://doi.org/10.1117/12.2256106

KEYWORDS: Photon counting, Sensors, Signal attenuation, Compton scattering, Distortion, Materials processing, Composites, Photoelectric effect, X-rays, Cones, Polymethylmethacrylate, Error analysis, Aluminum, Statistical analysis, Databases

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Proceedings Article | 9 March 2017 Presentation + Paper

A multi-step method for material decomposition in spectral computed tomography

Nathaniel Fredette, Cale Lewis, Mini Das

Proceedings Volume 10132, 101321C (2017) https://doi.org/10.1117/12.2256114

KEYWORDS: Photon counting, Algorithm development, Computer simulations, Calibration, Gold, Signal attenuation, Computed tomography, Data acquisition, Chemical elements, Medical imaging, X-rays

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Proceedings Article | 18 April 2016 Paper

Single-shot x-ray phase contrast imaging with an algorithmic approach using spectral detection

Mini Das, Chan-Soo Park, Nathaniel Fredette

Proceedings Volume 9783, 97830Q (2016) https://doi.org/10.1117/12.2218056

KEYWORDS: Sensors, Phase contrast, X-rays, Absorption, X-ray imaging, Phase retrieval, Coded apertures, Motion measurement, Tissues, Free space

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Proceedings Article | 18 March 2015 Paper

Energy calibration of photon counting detectors using x-ray tube potential as a reference for material decomposition applications

Mini Das, Bigyan Kandel, Chan Soo Park, Zhihua Liang

Proceedings Volume 9412, 941214 (2015) https://doi.org/10.1117/12.2082979

KEYWORDS: Sensors, Calibration, X-rays, X-ray detectors, Luminescence, Photon counting, X-ray fluorescence spectroscopy, Silicon, Gadolinium, Metals

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Proceedings Article | 18 March 2015 Paper

Examining wide-arc digital breast tomosynthesis: optimization using a visual-search model observer

Mini Das, Zhihua Liang, Howard Gifford

Proceedings Volume 9412, 94121S (2015) https://doi.org/10.1117/12.2082986

KEYWORDS: Digital breast tomosynthesis, Optimization (mathematics), Visualization, Visual process modeling, Mathematical modeling, Tumor growth modeling, Systems modeling, Image processing, Statistical modeling, Molybdenum

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Proceedings Article | 18 March 2015 Paper

Single-step, quantitative x-ray differential phase contrast imaging using spectral detection in a coded aperture setup

Mini Das, Zhihua Liang

Proceedings Volume 9412, 941252 (2015) https://doi.org/10.1117/12.2082977

KEYWORDS: X-rays, Absorption, Sensors, X-ray imaging, Phase contrast, Coded apertures, Photon counting, X-ray detectors, Signal attenuation, Coded aperture imaging

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Proceedings Article | 17 March 2015 Paper

Towards using eye-tracking data to develop visual-search observers for x-ray breast imaging

Zhengqiang Jiang, Zhihua Liang, Mini Das, Howard Gifford

Proceedings Volume 9416, 94160V (2015) https://doi.org/10.1117/12.2082978

KEYWORDS: Digital breast tomosynthesis, Feature extraction, Visualization, Calibration, Breast, X-rays, Image filtering, X-ray imaging, Breast imaging, Eye models

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Proceedings Article | 19 March 2014 Paper

Direct spectral recovery using X-ray fluorescence measurements for material decomposition applications using photon counting spectral X-ray detectors

Tom Campbell-Ricketts, Mini Das

Proceedings Volume 9033, 90331D (2014) https://doi.org/10.1117/12.2043992

KEYWORDS: Sensors, X-rays, Calibration, Luminescence, X-ray detectors, Distortion, Photon counting, X-ray fluorescence spectroscopy, Electrodes, Absorption

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Proceedings Article | 21 March 2013 Paper

Towards visual-search model observers for mass detection in breast tomosynthesis

Beverly Lau, Mini Das, Howard Gifford

Proceedings Volume 8668, 86680X (2013) https://doi.org/10.1117/12.2008503

KEYWORDS: Breast, Visualization, Visual process modeling, Digital breast tomosynthesis, Systems modeling, Tissues, Visual analytics, Spherical lenses, Statistical analysis, 3D modeling

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Proceedings Article | 19 March 2013 Paper

Single-step phase contrast x-ray imaging using photon counting detectors

Doga Gürsoy, Mini Das

Proceedings Volume 8668, 866857 (2013) https://doi.org/10.1117/12.2008596

KEYWORDS: Absorption, X-rays, X-ray imaging, Photon counting, Sensors, Tissues, Breast, X-ray detectors, Phase contrast, Signal attenuation

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Proceedings Article | 9 March 2012 Paper

Investigation of statistical iterative reconstruction for dedicated breast CT

Andrey Makeev, Mini Das, Stephen Glick

Proceedings Volume 8313, 83131W (2012) https://doi.org/10.1117/12.912786

KEYWORDS: Breast, Reconstruction algorithms, X-rays, Optical spheres, Computer simulations, Detection and tracking algorithms, Tumor growth modeling, Computed tomography, X-ray computed tomography, X-ray imaging

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Proceedings Article | 9 March 2012 Paper

Effect of postreconstruction filter strength on microcalcification detection at different imaging doses in digital breast tomosynthesis: human and model observer studies

Mini Das, Caitlin Connolly, Stephen Glick, Howard Gifford

Proceedings Volume 8313, 831321 (2012) https://doi.org/10.1117/12.912807

KEYWORDS: Digital breast tomosynthesis, Image filtering, Breast, Tomography, Mathematical modeling, Visualization, Reconstruction algorithms, Data modeling, Digital imaging, Visibility

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Proceedings Article | 16 March 2011 Paper

Comparison of model-observer and human-observer performance for breast tomosynthesis: effect of reconstruction and acquisition parameters

Mini Das, Howard Gifford

Proceedings Volume 7961, 796118 (2011) https://doi.org/10.1117/12.878826

KEYWORDS: Digital breast tomosynthesis, Breast, Mathematical modeling, Visualization, Image quality, Performance modeling, Statistical modeling, Signal attenuation, Gold, Visual process modeling

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Proceedings Article | 22 March 2010 Paper

A hypothesis testing approach for microwave breast imaging in conjunction with CT

Jie Xu, Patrick Kelly, Paul Siqueira, Mini Das

Proceedings Volume 7622, 76220X (2010) https://doi.org/10.1117/12.843878

KEYWORDS: Tissues, Dielectrics, Breast, Microwave radiation, Cancer, Diagnostics, Sensors, Breast imaging, X-rays, Computed tomography

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Proceedings Article | 14 March 2009 Paper

Dose reduction in digital breast tomosynthesis using a penalized maximum likelihood reconstruction

Mini Das, Howard Gifford, Michael O'Connor, Stephen Glick

Proceedings Volume 7258, 725855 (2009) https://doi.org/10.1117/12.813952

KEYWORDS: Signal to noise ratio, Breast, Reconstruction algorithms, Digital breast tomosynthesis, Signal attenuation, Tumor growth modeling, Optical spheres, Visibility, Visualization, Image filtering

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SPIE Journal Paper | 1 November 2008 Open Access

Image reconstruction method for a two-layer tissue structure accounts for chest-wall effects in breast imaging

Chen Xu, Mini Das, Yasaman Ardeshirpour, Quing Zhu

JBO, Vol. 13, Issue 06, 064029, (November 2008) https://doi.org/10.1117/12.10.1117/1.3041497

KEYWORDS: Optical properties, Absorption, Tissue optics, Image restoration, Breast, Reconstruction algorithms, Ultrasonography, Silicon, Tissues, Chest

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Proceedings Article | 3 April 2008 Paper

Evaluation of a variable dose acquisition methodology for breast tomosynthesis

Mini Das, Howard Gifford, Michael O'Connor, Stephen Glick

Proceedings Volume 6913, 691319 (2008) https://doi.org/10.1117/12.773106

KEYWORDS: Breast, Mammography, 3D modeling, Sensors, Image compression, Mathematical modeling, X-rays, X-ray computed tomography, 3D acquisition, Systems modeling

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Proceedings Article | 18 March 2008 Paper

Using mastectomy specimens to develop breast models for breast tomosynthesis and CT breast imaging

J. Michael O'Connor, Mini Das, Clay Didier, Mufeed Mah'D, Stephen Glick

Proceedings Volume 6913, 691315 (2008) https://doi.org/10.1117/12.772666

KEYWORDS: Breast, 3D modeling, Systems modeling, X-ray computed tomography, Sensors, Tumor growth modeling, Tissues, Breast imaging, Data modeling, X-rays

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Proceedings Article | 6 March 2008 Paper

Optimizing breast-tomosynthesis acquisition parameters with scanning model observers

H. Gifford, C. Didier, Mini Das, S. Glick

Proceedings Volume 6917, 69170S (2008) https://doi.org/10.1117/12.771018

KEYWORDS: Breast, Tumors, 3D acquisition, Mammography, Tumor growth modeling, 3D modeling, Reconstruction algorithms, 3D image processing, Sensors, Imaging systems

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Proceedings Article | 29 March 2007 Paper

Optical tomography for breast cancer imaging using a two-layer tissue model to include chest-wall effects

Mini Das, Quing Zhu

Proceedings Volume 6511, 65112L (2007) https://doi.org/10.1117/12.709732

KEYWORDS: Tissue optics, Tissues, Breast, Optical properties, Absorption, Sensors, Finite element methods, Data modeling, Breast imaging, Diffusion

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Showing 5 of 51 publications

Conference Committee Involvement (23)

Physics of Medical Imaging

17 February 2025 | San Diego, California, United States

Multiscale Imaging and Spectroscopy VI

25 January 2025 | San Francisco, California, United States

Physics of Medical Imaging

19 February 2024 | San Diego, California, United States

Multiscale Imaging and Spectroscopy V

27 January 2024 | San Francisco, California, United States

Anomaly Detection and Imaging with X-Rays (ADIX) VIII

3 May 2023 | Orlando, Florida, United States

Physics of Medical Imaging

20 February 2023 | San Diego, California, United States

Multiscale Imaging and Spectroscopy IV

28 January 2023 | San Francisco, California, United States

Anomaly Detection and Imaging with X-Rays (ADIX) VII

4 April 2022 | Orlando, Florida, United States

Physics of Medical Imaging

20 February 2022 | San Diego, California, United States

Multiscale Imaging and Spectroscopy III

22 January 2022 | San Francisco, California, United States

Anomaly Detection and Imaging with X-Rays (ADIX) VI

12 April 2021 | Online Only, Florida, United States

Physics of Medical Imaging

15 February 2021 | Online Only, California, United States

Anomaly Detection and Imaging with X-Rays (ADIX) V

27 April 2020 | Online Only, California, United States

Physics of Medical Imaging

16 February 2020 | Houston, Texas, United States

Anomaly Detection and Imaging with X-Rays (ADIX) IV

15 April 2019 | Baltimore, MD, United States

Physics of Medical Imaging

17 February 2019 | San Diego, California, United States

Anomaly Detection and Imaging with X-Rays (ADIX) III

17 April 2018 | Orlando, FL, United States

Physics of Medical Imaging

12 February 2018 | Houston, Texas, United States

Physics of Medical Imaging

13 February 2017 | Orlando, Florida, United States

Physics of Medical Imaging Posters

13 February 2017 | Orlando, FL, United States

Physics of Medical Imaging

28 February 2016 | San Diego, California, United States

Physics of Medical Imaging

22 February 2015 | Orlando, Florida, United States

Physics of Medical Imaging

17 February 2014 | San Diego, California, United States

Showing 5 of 23 Conference Committees

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