Prof. Ingrid S. Reiser Profile

Prof. Ingrid S. Reiser

at Univ. of Chicago

SPIE Involvement:

Conference Program Committee | Author

Publications (46)

Proceedings Article | 1 April 2024 Poster + Paper

Sensitivity analysis of dual-energy computed tomography multi-triplet material decomposition

Giavanna Jadick, Ingrid Reiser, Patrick La Rivière

Proceedings Volume 12925, 1292529 (2024) https://doi.org/10.1117/12.3006548

KEYWORDS: Computed tomography, Image quality, Voxels, Tissues, X-ray computed tomography, Calcium, Computer simulations, Chemical composition, Analytical research, Risk assessment, Dual energy imaging

Read Abstract +

Proceedings Article | 29 March 2024 Presentation + Paper

Investigation of different model observers for including signal-detectability in the training of CNNs for CT image reconstruction

Gregory Ongie, Megan Lantz, Emil Sidky, Ingrid Reiser, Xiaochuan Pan

Proceedings Volume 12929, 129290E (2024) https://doi.org/10.1117/12.3008784

KEYWORDS: Signal detection, Image restoration, Eye models, CT reconstruction, Deep learning, Convolutional neural networks, Medical image reconstruction

Read Abstract +

SPIE Journal Paper | 26 June 2023 Open Access

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

Christiana Balta, Ingrid Reiser, Mireille J. M. Broeders, Wouter J. H. Veldkamp, Ruben E. van Engen, Ioannis Sechopoulos

JMI, Vol. 10, Issue S1, S11915, (June 2023) https://doi.org/10.1117/12.10.1117/1.JMI.10.S1.S11915

KEYWORDS: Digital breast tomosynthesis, 3D image processing, Breast, Optical spheres, 3D acquisition, Spherical lenses, Signal detection, 3D vision, Target detection, Computed tomography

Read Abstract +

PurposeIn 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.MethodHuman 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.ResultsSpherical lesion detection was higher in 2D mode than in 3D, for both DBT- and bCT-like images (DBT: AUC2D = 0.790, AUC3D = 0.735, P = 0.03; bCT: AUC2D = 0.869, AUC3D = 0.716, P < 0.05), but equivalent for capsule-shaped signals (DBT: AUC2D = 0.891, AUC3D = 0.915, P = 0.19; bCT: AUC2D = 0.854, AUC3D = 0.847, P = 0.88). Average reading time was up to 134% higher for 3D viewing (P < 0.05).ConclusionsFor 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.

DOWNLOAD PAPER

Proceedings Article | 18 October 2022 Open Access

Evaluation of deep learning-based CT reconstruction with a signal-Laplacian model observer

Gregory Ongie, Emil Sidky, Ingrid Reiser, Xiaochuan Pan

Proceedings Volume 12304, 123040U (2022) https://doi.org/10.1117/12.2647039

KEYWORDS: Signal detection, Interference (communication), Signal to noise ratio, CT reconstruction, Smoothing, Statistical modeling, Performance modeling, Imaging systems, Data modeling, Breast

Read Abstract +

DOWNLOAD PAPER

Proceedings Article | 4 April 2022 Paper

Task-specific evaluation of clinical pediatric fluoroscopy systems

Emily Marshall, Daniela Olivera Velarde, Natalie Baughan, Nikolaj Reiser, Chao Guo, Juan Pablo Bastida Cruz, Kate Feinstein, Ingrid Reiser

Proceedings Volume 12035, 120351A (2022) https://doi.org/10.1117/12.2613006

KEYWORDS: Fluoroscopy, Imaging systems, Iodine, Image intensifiers, Diagnostics, Signal to noise ratio, Printing

Read Abstract +

Proceedings Article | 4 April 2022 Presentation + Paper

Optimizing model observer performance in learning-based CT reconstruction

Gregory Ongie, Emil Sidky, Ingrid Reiser, Xiaochuan Pan

Proceedings Volume 12035, 120350A (2022) https://doi.org/10.1117/12.2613050

KEYWORDS: Signal detection, Signal attenuation, Performance modeling, Breast, Data modeling, CT reconstruction, Signal to noise ratio, Neural networks, Computed tomography, Network architectures

Read Abstract +

Proceedings Article | 15 February 2021 Presentation + Paper

Towards the objective assessment of fluoroscopy systems: development of a framework to aid the design of tasks and metrics

Juan P. Cruz-Bastida, Natalie Baughan, Emily Marshall, Kayla Blunt, Kate Feinstein, Ingrid Reiser

Proceedings Volume 11599, 1159908 (2021) https://doi.org/10.1117/12.2581089

KEYWORDS: Fluoroscopy, X-ray imaging, Systems modeling, Radiography, Profiling, Image segmentation, Diagnostics, Computer simulations

Read Abstract +

Proceedings Article | 15 February 2021 Presentation + Paper

A hybrid channelized Hotelling observer for estimating the ideal linear observer for total-variation-based image reconstruction

Emil Sidky, John Paul Phillips, Greg Ongie, Weimin Zhou, Juan Cruz-Bastida, Ingrid Reiser, Mark Anastasio, Xiaochuan Pan

Proceedings Volume 11599, 115990D (2021) https://doi.org/10.1117/12.2581248

KEYWORDS: Image restoration, Signal detection, Reconstruction algorithms, Nonlinear optics, X-ray computed tomography, Optimization (mathematics), Medical imaging, Image quality, Detection and tracking algorithms

Read Abstract +

Proceedings Article | 16 March 2020 Presentation + Paper

Supervised learning of model observers for assessment of CT image reconstruction algorithms

Gregory Ongie, Emil Sidky, Ingrid Reiser, Xiaochuan Pan

Proceedings Volume 11316, 113160B (2020) https://doi.org/10.1117/12.2549817

KEYWORDS: Reconstruction algorithms, Signal detection, CT reconstruction, Machine learning, Statistical modeling, Neural networks

Read Abstract +

Proceedings Article | 4 March 2019 Presentation + Paper

2D single-slice vs. 3D viewing of simulated tomosynthesis images of a small-scale breast tissue model

Christiana Balta, Ioannis Sechopoulos, Wouter J. Veldkamp, Ruben van Engen, Ingrid Reiser

Proceedings Volume 10952, 109520V (2019) https://doi.org/10.1117/12.2512053

KEYWORDS: Breast, 3D image processing, Signal detection, 3D modeling, Tissues, Image quality, 3D vision, 3D displays, Computer simulations, Spherical lenses

Read Abstract +

Proceedings Article | 1 March 2019 Paper

Filtered back-projection for digital breast tomosynthesis with 2D filtering

Emil Sidky, Sean Rose, Ingrid Reiser, Xiaochuan Pan

Proceedings Volume 10948, 1094851 (2019) https://doi.org/10.1117/12.2513342

KEYWORDS: Digital breast tomosynthesis, X-ray sources, Digital filtering, Reconstruction algorithms

Read Abstract +

Proceedings Article | 1 March 2019 Paper

Development of a compact inkjet-printed patient-specific phantom for optimization of fluoroscopic image quality in neonates

Emily Marshall, Claire Joswiak, Erik Pearson, Zheng-Feng Lu, Hania Al-Hallaq, Ingrid Reiser, Lindsay Douglas

Proceedings Volume 10948, 109484W (2019) https://doi.org/10.1117/12.2513118

KEYWORDS: Iodine, Printing, Signal attenuation, Radiography, Image quality, Chest, Fluoroscopy, X-rays

Read Abstract +

Proceedings Article | 1 March 2019 Paper

Prototyping optimization problems for digital breast tomosynthesis image reconstruction with a primal-dual algorithm

Emil Sidky, Ingrid Reiser, Sean Rose, Xiaochuan Pan

Proceedings Volume 10948, 1094852 (2019) https://doi.org/10.1117/12.2513337

KEYWORDS: Digital breast tomosynthesis, Optimization (mathematics), Breast, Reconstruction algorithms, Prototyping, Visualization

Read Abstract +

SPIE Journal Paper | 11 January 2019

Imaging of fiber-like structures in digital breast tomosynthesis

Sean Rose, Emil Sidky, Ingrid Reiser, Xiaochuan Pan

JMI, Vol. 6, Issue 03, 031404, (January 2019) https://doi.org/10.1117/12.10.1117/1.JMI.6.3.031404

KEYWORDS: Digital breast tomosynthesis, Reconstruction algorithms, Structured optical fibers, Image restoration, Sensors, Image filtering, Data modeling, X-ray sources, Computer simulations, Visualization

Read Abstract +

Proceedings Article | 6 July 2018 Paper

Orientation dependent detectability of fiber-like signals in linear iterative image reconstruction for breast tomosynthesis

Sean Rose, Ingrid Reiser, Emil Sidky, Xiaochuan Pan

Proceedings Volume 10718, 107180T (2018) https://doi.org/10.1117/12.2318463

KEYWORDS: Signal detection, Reconstruction algorithms, Digital breast tomosynthesis, Breast, Signal to noise ratio

Read Abstract +

Proceedings Article | 9 March 2018 Presentation + Paper

Assessment of diagnostic image quality of computed tomography (CT) images of the lung using deep learning

Byron Grant, Jonathan Chung, Ingrid Reiser, Maryellen Giger, John Lee

Proceedings Volume 10573, 105731M (2018) https://doi.org/10.1117/12.2292070

KEYWORDS: Image quality, Computed tomography, Diagnostics, Lung, Feature extraction, Machine learning, Image acquisition, Ionizing radiation, Imaging systems, Convolutional neural networks

Read Abstract +

Proceedings Article | 9 March 2018 Paper

Analysis of volume overestimation artifacts in the breast outline segmentation in tomosynthesis

Raymond Acciavatti, Ingrid Reiser, Ioannis Sechopoulos, Andrew D. Maidment, Predrag Bakic, Alejandro Rodríguez-Ruiz, Trevor Vent

Proceedings Volume 10573, 1057359 (2018) https://doi.org/10.1117/12.2293253

KEYWORDS: Breast, Image segmentation, Digital breast tomosynthesis, Digital x-ray imaging, X-ray imaging, X-rays, Sensors, Signal detection, Computer simulations, Yield improvement

Read Abstract +

Proceedings Article | 7 March 2018 Presentation + Paper

Parameter selection with the Hotelling observer in linear iterative image reconstruction for breast tomosynthesis

Sean Rose, Jacob Roth, Cole Zimmerman, Ingrid Reiser, Emil Sidky, Xiaochuan Pan

Proceedings Volume 10577, 105770P (2018) https://doi.org/10.1117/12.2293805

KEYWORDS: Signal detection, Systems modeling, Digital breast tomosynthesis, Data modeling, Signal to noise ratio, Breast

Read Abstract +

SPIE Journal Paper | 6 March 2018

Neutrosophic segmentation of breast lesions for dedicated breast computed tomography

Juhun Lee, Robert M. Nishikawa, Ingrid Reiser, John M. Boone

JMI, Vol. 5, Issue 01, 014505, (March 2018) https://doi.org/10.1117/12.10.1117/1.JMI.5.1.014505

KEYWORDS: Image segmentation, Breast, Image processing algorithms and systems, Reconstruction algorithms, Computed tomography, Image enhancement, Tissues, 3D image processing, Surgery, Algorithm development

Read Abstract +

SPIE Journal Paper | 3 May 2017

Lack of agreement between radiologists: implications for image-based model observers

Juhun Lee, Robert Nishikawa, Ingrid Reiser, Margarita Zuley, John Boone

JMI, Vol. 4, Issue 02, 025502, (May 2017) https://doi.org/10.1117/12.10.1117/1.JMI.4.2.025502

KEYWORDS: Diagnostics, Reconstruction algorithms, Computed tomography, Breast, Image quality, Performance modeling, Tumor growth modeling, Image segmentation, Image restoration, Mammography

Read Abstract +

Proceedings Article | 9 March 2017 Paper

Development of a photon counting detector response model using multiple transmission spectra

Dimple Modgil, Andrew Smith, Buxin Chen, Hee-Jong Kim, William Barber, Chin-Tu Chen, Ingrid Reiser

Proceedings Volume 10132, 101323R (2017) https://doi.org/10.1117/12.2255765

KEYWORDS: Sensors, Photon counting, Calibration, Detector development, Silver, Tin, Aluminum, X-rays, X-ray detectors, Metals

Read Abstract +

Proceedings Article | 3 March 2017 Presentation + Paper

Neutrosophic segmentation of breast lesions for dedicated breast CT

Juhun Lee, Robert Nishikawa, Ingrid Reiser, John Boone

Proceedings Volume 10134, 101340Q (2017) https://doi.org/10.1117/12.2254128

KEYWORDS: Radiology, Image segmentation, Breast, Computed tomography, Denoising, Image processing algorithms and systems, Statistical analysis, Reconstruction algorithms, Image enhancement, Tissues, Algorithm development

Read Abstract +

Proceedings Article | 24 March 2016 Paper

Can model observers be developed to reproduce radiologists' diagnostic performances? Our study says not so fast!

Juhun Lee, Robert Nishikawa, Ingrid Reiser, John Boone

Proceedings Volume 9787, 978707 (2016) https://doi.org/10.1117/12.2216253

KEYWORDS: Diagnostics, CT reconstruction, Reconstruction algorithms, Image restoration, Performance modeling, Breast, Computed tomography, Image analysis, Breast cancer, Mathematical modeling

Read Abstract +

Proceedings Article | 22 March 2016 Paper

Efficient iterative image reconstruction algorithm for dedicated breast CT

Natalia Antropova, Adrian Sanchez, Ingrid Reiser, Emil Sidky, John Boone, Xiaochuan Pan

Proceedings Volume 9783, 97834K (2016) https://doi.org/10.1117/12.2216933

KEYWORDS: Reconstruction algorithms, Breast, X-ray computed tomography, Image restoration, Image enhancement, Breast cancer, Mammography, X-rays, Image quality, Prototyping, Algorithm development, Data modeling, Computed tomography

Read Abstract +

Proceedings Article | 27 August 2015 Paper

Si-strip photon counting detectors for contrast-enhanced spectral mammography

Buxin Chen, Ingrid Reiser, Jan Wessel, Nail Malakhov, Gregor Wawrzyniak, Neal Hartsough, Thulasi Gandhi, Chin-Tu Chen, Jan Iwanczyk, William Barber

Proceedings Volume 9594, 959406 (2015) https://doi.org/10.1117/12.2195609

KEYWORDS: Sensors, Iodine, Mammography, X-rays, Photon counting, Calibration, Silicon, X-ray detectors, Mass attenuation coefficient, Digital mammography

Read Abstract +

Proceedings Article | 18 March 2015 Paper

Robust iterative image reconstruction for breast CT by use of projection differentiation

Emil Sidky, David Kraemer, Erin Roth, Ingrid Reiser, Xiaochuan Pan

Proceedings Volume 9412, 94123I (2015) https://doi.org/10.1117/12.2082444

KEYWORDS: Image restoration, Data modeling, Condition numbers, Breast, X-ray computed tomography, Computed tomography, Reconstruction algorithms, X-rays, Sensors, Image filtering

Read Abstract +

Proceedings Article | 18 March 2015 Paper

Improving depth resolution in digital breast tomosynthesis by iterative image reconstruction

Emil Sidky, Erin Roth, David Kraemer, Ingrid Reiser, Xiaochuan Pan

Proceedings Volume 9412, 941258 (2015) https://doi.org/10.1117/12.2082429

KEYWORDS: Digital breast tomosynthesis, Optical filters, Image restoration, Image resolution, Tissues, Digital filtering, Mammography, Matrices, Image filtering, Data modeling

Read Abstract +

SPIE Journal Paper | 24 December 2014

Impact of lesion segmentation metrics on computer-aided diagnosis/detection in breast computed tomography

Hsien-Chi Kuo, Maryellen Giger, Ingrid Reiser, Karen Drukker, John Boone, Karen Lindfors, Kai Yang, Alexandra Edwards

JMI, Vol. 1, Issue 03, 031012, (December 2014) https://doi.org/10.1117/12.10.1117/1.JMI.1.3.031012

KEYWORDS: Image segmentation, Breast, Computer aided diagnosis and therapy, Tumor growth modeling, Performance modeling, Computed tomography, Solid modeling, Algorithm development, 3D modeling, 3D image processing

Read Abstract +

SPIE Journal Paper | 3 October 2014 Open Access

Analysis of iterative region-of-interest image reconstruction for x-ray computed tomography

Emil Sidky, David Kraemer, Erin Roth, Christer Ullberg, Ingrid Reiser, Xiaochuan Pan

JMI, Vol. 1, Issue 03, 031007, (October 2014) https://doi.org/10.1117/12.10.1117/1.JMI.1.3.031007

KEYWORDS: X-ray computed tomography, Image restoration, Reconstruction algorithms, Algorithm development, CT reconstruction, Data modeling, Image filtering, Optimization (mathematics), Medical imaging, X-rays

Read Abstract +

DOWNLOAD PAPER

SPIE Journal Paper | 23 April 2014

Segmentation of breast masses on dedicated breast computed tomography and three-dimensional breast ultrasound images

Hsien-Chi Kuo, Maryellen Giger, Ingrid Reiser, Karen Drukker, John Boone, Karen Lindfors, Kai Yang, Alexandra Edwards, Charlene Sennett

JMI, Vol. 1, Issue 01, 014501, (April 2014) https://doi.org/10.1117/12.10.1117/1.JMI.1.1.014501

KEYWORDS: Image segmentation, Breast, 3D modeling, Performance modeling, Tumor growth modeling, 3D image processing, Ultrasonography, Tissues, Computed tomography, Mammography

Read Abstract +

Proceedings Article | 19 March 2014 Paper

Enhancing tissue structures with iterative image reconstruction for digital breast tomosynthesis

Emil Sidky, Ingrid Reiser, Robert Nishikawa, Xiaochuan Pan

Proceedings Volume 9033, 90330W (2014) https://doi.org/10.1117/12.2043776

KEYWORDS: Digital breast tomosynthesis, Reconstruction algorithms, Tissues, Image restoration, X-rays, Image filtering, Data modeling, Image enhancement, Tomography, Algorithm development

Read Abstract +

Proceedings Article | 28 February 2013 Paper

Automatic 3D lesion segmentation on breast ultrasound images

Hsien-Chi Kuo, Maryellen Giger, Ingrid Reiser, Karen Drukker, Alexandra Edwards, Charlene Sennett

Proceedings Volume 8670, 867025 (2013) https://doi.org/10.1117/12.2008014

KEYWORDS: Image segmentation, Breast, Tumors, 3D image processing, Ultrasonography, Cancer, Mammography, Algorithm development, 3D image reconstruction, Breast imaging

Read Abstract +

Proceedings Article | 29 February 2012 Paper

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

I. Reiser, R. Nishikawa

Proceedings Volume 8318, 83180K (2012) https://doi.org/10.1117/12.913559

KEYWORDS: Signal detection, 3D modeling, Tissues, 3D image processing, Performance modeling, Breast, Volume visualization, Sensors, Mathematical modeling, Image resolution

Read Abstract +

Tomosynthesis produces three-dimensional images of an object, with non-isotropic resolution. Tomosynthesis images are typically read by human observers in a stack viewing mode, displaying planes through the tomosynthesis volume. The purpose of this study was to investigate whether human performance in a signal-known exactly (SKE) detection task improves when the entire tomosynthesis volume is available to the observer, compared to displaying a single plane through the signal center. The goal of this study was to improve understanding of human performance in order to aid development of observer models for tomosynthesis. Human performance was measured using sequential 2-alternative forced choice experiments. In each trial, the observer was first asked to select the signal-present ROI based on a single 2D tomosynthesis plane. Then, scrolling was enabled and the observer was able to select the signal-present ROI, based on knowledge of the entire volume. The number of correct decisions for 2D and 3D viewing was recorded, and the number of trials was recorded for which a score increase or decrease occured between 2D and 3D readings. Test images consisted of tomosynthesis reconstructions of simulated breast tissue, where breast tissue was modeled as binarized power-law noise. Tomosynthesis reconstructions of designer nodules of r = 250μm, r = 1mm, r = 4mm were added to the structured backgrounds. For each signal size, observers scored 256 trials with signal amplitude set so that the proportion of correct answers in the single slice was 90%. For two observers, a slight increase in performance was found when adjacent tomosynthesis slices were displayed, for the two larger signals. Statistical significance could not be established. The number of decision changes was analyzed for each observer. For these two observers, the number of decision changes that led to a score increase or decrease were outside the 95% confidence interval of the decision change being random, indicating that for these two observers, displaying the tomosynthesis stack did boost performance. For the other two observers, decision changes that increased or decreased the score were within the 95% confidence interval of guessing, indicating that the decision changes were due to a satisfaction of search effect. However the results also indicate that the performance increase is small and the majority of information appears to be contained in the tomosynthesis slice that corresponds to the center of the lesions.

Proceedings Article | 23 February 2012 Paper

Evaluation of stopping criteria for level set segmentation of breast masses in contrast-enhanced dedicated breast CT

M. Giger, A. Edwards, I. Reiser, H. Kuo, K. Yang, K. Lindfors, J. Boone

Proceedings Volume 8315, 83152C (2012) https://doi.org/10.1117/12.911087

KEYWORDS: Image segmentation, Breast, 3D image processing, Computed tomography, 3D modeling, Computer aided diagnosis and therapy, Mammography, Tissues, Radiology

Read Abstract +

Proceedings Article | 17 March 2011 Paper

Issues in characterizing anatomic structure in digital breast tomosynthesis

Robert Nishikawa, Ingrid Reiser, Beverly Lau

Proceedings Volume 7961, 796113 (2011) https://doi.org/10.1117/12.878871

KEYWORDS: Breast, Digital breast tomosynthesis, Radiography, Statistical analysis, Medical imaging, Radiology, Physics, Current controlled current source, Image segmentation, Optical inspection

Read Abstract +

Proceedings Article | 9 March 2010 Paper

Evaluation of a 3D lesion segmentation algorithm on DBT and breast CT images

I. Reiser, A. Edwards, D. Kopans, R. Moore, K. Lindfors, J. Boone, S. Joseph, R. Nishikawa, M. Giger, N. Packard

Proceedings Volume 7624, 76242N (2010) https://doi.org/10.1117/12.844484

KEYWORDS: Image segmentation, Digital breast tomosynthesis, 3D image processing, Breast, Digital filtering, Image processing algorithms and systems, Computed tomography, Spherical lenses, Tissues, Image filtering

Read Abstract +

Proceedings Article | 27 February 2010 Paper

Toward validation of a 3D structured background model for breast imaging

I. Reiser, R. Nishikawa, K. Little, S. Lee

Proceedings Volume 7627, 762716 (2010) https://doi.org/10.1117/12.844692

KEYWORDS: Breast, Performance modeling, 3D modeling, Signal detection, Breast imaging, Tissues, Sensors, Data modeling, 3D image processing, Statistical modeling

Read Abstract +

Proceedings Article | 14 March 2009 Paper

Effect of non-isotropic detector blur on microcalcification detectability in tomosynthesis

Robert Nishikawa, Ingrid Reiser, Beverly Lau

Proceedings Volume 7258, 72585Z (2009) https://doi.org/10.1117/12.813808

KEYWORDS: Sensors, Signal detection, Modulation transfer functions, X-rays, X-ray sources, Monte Carlo methods, X-ray detectors, Photons, X-ray optics, X-ray imaging

Read Abstract +

Proceedings Article | 19 March 2008 Paper

Microcalcification detectability in tomosynthesis

Beverly Lau, Robert Nishikawa, Ingrid Reiser

Proceedings Volume 6913, 69134L (2008) https://doi.org/10.1117/12.773076

KEYWORDS: Sensors, Breast, Digital breast tomosynthesis, Mammography, 3D image reconstruction, Breast cancer, Tissues, 3D image processing, Computer simulations, Signal detection

Read Abstract +

Proceedings Article | 18 March 2008 Paper

Practical iterative image reconstruction in digital breast tomosynthesis by non-convex TpV optimization

Richard Moore, Daniel Kopans, Rick Chartrand, Xiaochuan Pan, Robert Nishikawa, Emil Sidky, Ingrid Reiser

Proceedings Volume 6913, 691328 (2008) https://doi.org/10.1117/12.772796

KEYWORDS: Expectation maximization algorithms, Reconstruction algorithms, Digital breast tomosynthesis, Breast, Image restoration, Algorithm development, Sensors, Medical imaging, Data modeling, Tissues

Read Abstract +

Proceedings Article | 15 March 2007 Paper

A new approach to digital breast tomosynthesis for breast cancer screening

Carl Vyborny, Ingrid Reiser, Payam Seifi, Robert Nishikawa

Proceedings Volume 6510, 65103C (2007) https://doi.org/10.1117/12.713677

KEYWORDS: Digital breast tomosynthesis, Mammography, Computer aided diagnosis and therapy, 3D image processing, Breast cancer, Image resolution, Breast, 3D image reconstruction, Sensors

Read Abstract +

Proceedings Article | 14 March 2007 Paper

Development of a model for breast tomosynthesis image acquisition

E. Sidky, R. Nishikawa, I. Reiser, P. Seifi, M. Chinander

Proceedings Volume 6510, 65103D (2007) https://doi.org/10.1117/12.713752

KEYWORDS: X-rays, Data modeling, X-ray detectors, Sensors, Data acquisition, Image acquisition, Prototyping, Breast, X-ray imaging, Computer simulations

Read Abstract +

Proceedings Article | 13 March 2007 Paper

Image reconstruction in digital breast tomosynthesis by total variation minimization

Ingrid Reiser, Xiaochuan Pan, Emil Sidky, Robert Nishikawa

Proceedings Volume 6510, 651027 (2007) https://doi.org/10.1117/12.713663

KEYWORDS: Digital breast tomosynthesis, Image restoration, Reconstruction algorithms, Sensors, CT reconstruction, Data modeling, Optical spheres, Detection and tracking algorithms, X-rays, Computer simulations

Read Abstract +

Proceedings Article | 6 April 2005 Paper

Human performance for detection and discrimination of simulated microcalcifications in mammographic backgrounds

Robert Nishikawa, Ingrid Reiser

Proceedings Volume 5749, (2005) https://doi.org/10.1117/12.597010

KEYWORDS: Signal detection, Performance modeling, Stars, Mammography, Eye models, Data modeling, Tumor growth modeling, Imaging systems, Modulation transfer functions, Eye

Read Abstract +

Proceedings Article | 12 May 2004 Paper

A reconstruction-independent method for computerized mass detection in digital tomosynthesis images of the breast

Daniel Kopans, Elizabeth Rafferty, Maryellen Giger, Richard Moore, Robert Nishikawa, Emil Sidky, Tao Wu, Ingrid Reiser

Proceedings Volume 5370, (2004) https://doi.org/10.1117/12.535901

KEYWORDS: Breast, Reconstruction algorithms, Detection and tracking algorithms, 3D image processing, Expectation maximization algorithms, Mammography, Computer simulations, Image filtering, Tissues, Tumors

Read Abstract +

Proceedings Article | 4 May 2004 Paper

Human efficiency in the detection and discrimination tasks

Charles Metz, Ingrid Reiser, Robert Nishikawa

Proceedings Volume 5372, (2004) https://doi.org/10.1117/12.536214

KEYWORDS: Signal detection, Signal to noise ratio, Calibration, Image quality, Stars, Mammography, Interference (communication), Solids, Medical imaging, Image filtering

Read Abstract +