Prof. Benjamin M. W. Tsui Profile

Prof. Benjamin M. W. Tsui

Professor, Dept of Radiology, School of Medicine at Johns Hopkins Outpatient Ctr JHMI

SPIE Involvement:

Author

Publications (30)

Proceedings Article | 22 May 2020 Paper

Breast cancer detection/diagnosis with upstream data fusion and machine learning

David Porter, William Walton, Susan Harvey, Lisa Mullen, Benjamin M. Tsui, Seung-Jun Kim, Keith Peyton

Proceedings Volume 11513, 115130X (2020) https://doi.org/10.1117/12.2564159

KEYWORDS: Digital breast tomosynthesis, Breast cancer, Data fusion, Image fusion, Image processing, Magnetic resonance imaging, Mammography, Image registration, Machine learning, Breast imaging

Read Abstract +

SPIE Journal Paper | 11 April 2020 Open Access

Virtual clinical trials in medical imaging: a review

Ehsan Abadi, William Segars, Benjamin M. Tsui, Paul Kinahan, Nick Bottenus, Alejandro Frangi, Andrew Maidment, Joseph Lo, Ehsan Samei

JMI, Vol. 7, Issue 04, 042805, (April 2020) https://doi.org/10.1117/12.10.1117/1.JMI.7.4.042805

KEYWORDS: Medical imaging, Computer simulations, Magnetic resonance imaging, Clinical trials, Imaging systems, Data modeling, Image segmentation, Image quality, Single photon emission computed tomography, Image processing

Read Abstract +

DOWNLOAD PAPER

Proceedings Article | 19 March 2013 Paper

A papillary muscle guided motion estimation method for gated cardiac imaging

Jizhe Wang, George Fung, Tao Feng, Benjamin Tsui

Proceedings Volume 8668, 86682G (2013) https://doi.org/10.1117/12.2007505

KEYWORDS: Motion estimation, Heart, Positron emission tomography, Motion models, Error analysis, 3D image processing, Optical flow, Computed tomography, Medical imaging, Blood

Read Abstract +

Proceedings Article | 3 March 2012 Paper

Spectral response compensation for photon-counting clinical x-ray CT using sinogram restoration

Somesh Srivastava, Jochen Cammin, George S. Fung, Benjamin M. Tsui, Katsuyuki Taguchi

Proceedings Volume 8313, 831311 (2012) https://doi.org/10.1117/12.911394

KEYWORDS: X-rays, X-ray computed tomography, X-ray detectors, Algorithm development, Algorithms, Reconstruction algorithms, Sensors, X-ray imaging, Optimization (mathematics), Signal attenuation

Read Abstract +

Proceedings Article | 24 February 2012 Paper

Investigation of ultra low-dose scans in the context of quantum-counting clinical CT

T. Weidinger, T. Buzug, T. Flohr, G. S. Fung, S. Kappler, K. Stierstorfer, B. M. Tsui

Proceedings Volume 8313, 83134B (2012) https://doi.org/10.1117/12.911331

KEYWORDS: Sensors, Electroluminescence, X-ray computed tomography, Electronics, X-rays, Abdomen, Scanners, Denoising, Prototyping, X-ray imaging

Read Abstract +

Proceedings Article | 17 March 2011 Paper

XCAT/DRASIM: a realistic CT/human-model simulation package

George S. K. Fung, Karl Stierstorfer, W. Paul Segars, Katsuyuki Taguchi, Thomas Flohr, Benjamin M. W. Tsui

Proceedings Volume 7961, 79613D (2011) https://doi.org/10.1117/12.878034

KEYWORDS: Computer simulations, X-ray computed tomography, Sensors, Motion models, Scanners, Mathematical modeling, X-rays, X-ray sources, Medicine, Systems modeling

Read Abstract +

Proceedings Article | 17 March 2011 Paper

Iterative volume of interest image reconstruction in helical cone beam X-Ray CT using a stored system matrix approach

Jingyan Xu, Benjamin M. Tsui

Proceedings Volume 7961, 79612O (2011) https://doi.org/10.1117/12.878914

KEYWORDS: Image restoration, Reconstruction algorithms, Sensors, X-ray sources, X-rays, X-ray computed tomography, 3D image reconstruction, 3D image processing, Projection systems, CT reconstruction

Read Abstract +

Proceedings Article | 16 March 2011 Paper

Design and development of MR-compatible SPECT systems for simultaneous SPECT-MR imaging of small animals

Benjamin M. Tsui, James Hugg, Jingyan Xu, Si Chen, Dirk Meier, William Edelstein, Abdel El-Sharkawy, Douglas Wagenaar, Bradley Patt

Proceedings Volume 7961, 79611Y (2011) https://doi.org/10.1117/12.878903

KEYWORDS: Single photon emission computed tomography, Prototyping, Magnetic resonance imaging, Collimators, Sensors, Imaging systems, Image restoration, Preclinical imaging, Data acquisition, Spatial resolution

Read Abstract +

Proceedings Article | 2 March 2011 Paper

3D-guided CT reconstruction using time-of-flight camera

Mahmoud Ismail, Katsuyuki Taguchi, Jingyan Xu, Benjamin Tsui, Emad Boctor

Proceedings Volume 7964, 796429 (2011) https://doi.org/10.1117/12.878881

KEYWORDS: Time of flight cameras, Image quality, Imaging systems, CT reconstruction, 3D-TOF imaging, Sensors, X-ray detectors, Image segmentation, Calibration, Structured light

Read Abstract +

Proceedings Article | 19 March 2010 Paper

Microcomputed tomography with a second generation photon-counting x-ray detector: contrast analysis and material separation

X. Wang, D. Meier, P. Oya, G. Maehlum, D. Wagenaar, B. M. Tsui, B. Patt, E. Frey

Proceedings Volume 7622, 76221B (2010) https://doi.org/10.1117/12.844301

KEYWORDS: Sensors, Signal attenuation, X-ray detectors, X-rays, Photodetectors, Gadolinium, Iodine, Bone, Photons, Polymethylmethacrylate

Read Abstract +

Proceedings Article | 19 March 2010 Paper

SPECT data acquisition and image reconstruction in a stationary small animal SPECT/MRI system

Jingyan Xu, Si Chen, Jianhua Yu, Dirk Meier, Douglas Wagenaar, Bradley Patt, Benjamin M. Tsui

Proceedings Volume 7622, 76220V (2010) https://doi.org/10.1117/12.845504

KEYWORDS: Single photon emission computed tomography, Sensors, Collimators, Image restoration, Point spread functions, Magnetic resonance imaging, Data acquisition, Image resolution, Matrices, Tomography

Read Abstract +

The goal of the study was to investigate data acquisition strategies and image reconstruction methods for a stationary SPECT insert that can operate inside an MRI scanner with a 12 cm bore diameter for simultaneous SPECT/MRI imaging of small animals. The SPECT insert consists of 3 octagonal rings of 8 MR-compatible CZT detectors per ring surrounding a multi-pinhole (MPH) collimator sleeve. Each pinhole is constructed to project the field-of-view (FOV) to one CZT detector. All 24 pinholes are focused to a cylindrical FOV of 25 mm in diameter and 34 mm in length. The data acquisition strategies we evaluated were optional collimator rotations to improve tomographic sampling; and the image reconstruction methods were iterative ML-EM with and without compensation for the geometric response function (GRF) of the MPH collimator. For this purpose, we developed an analytic simulator that calculates the system matrix with the GRF models of the MPH collimator. The simulator was used to generate projection data of a digital rod phantom with pinhole aperture sizes of 1 mm and 2 mm and with different collimator rotation patterns. Iterative ML-EM reconstruction with and without GRF compensation were used to reconstruct the projection data from the central ring of 8 detectors only, and from all 24 detectors. Our results indicated that without GRF compensation and at the default design of 24 projection views, the reconstructed images had significant artifacts. Accurate GRF compensation substantially improved the reconstructed image resolution and reduced image artifacts. With accurate GRF compensation, useful reconstructed images can be obtained using 24 projection views only. This last finding potentially enables dynamic SPECT (and/or MRI) studies in small animals, one of many possible application areas of the SPECT/MRI system. Further research efforts are warranted including experimentally measuring the system matrix for improved geometrical accuracy, incorporating the co-registered MRI image in SPECT reconstruction, and exploring potential applications of the simultaneous SPECT/MRI SA system including dynamic SPECT studies.

Proceedings Article | 13 March 2009 Paper

A dual formulation of a penalized maximum likelihood x-ray CT reconstruction problem

Jingyan Xu, Katsuyuki Taguchi, Grant Gullberg, Benjamin M. Tsui

Proceedings Volume 7258, 725828 (2009) https://doi.org/10.1117/12.813873

KEYWORDS: X-rays, Reconstruction algorithms, CT reconstruction, X-ray detectors, Evolutionary algorithms, Computed tomography, Data modeling, Optimization (mathematics), Signal detection, Sensors

Read Abstract +

Proceedings Article | 13 March 2009 Paper

Characterization of a novel photon counting detector for clinical CT: count rate, energy resolution, and noise performance

William Barber, Einar Nygard, Jan Iwanczyk, Mengxi Zhang, Eric Frey, Benjamin M. Tsui, Jan Wessel, Nail Malakhov, Gregor Wawrzyniak, Neal Hartsough, Thulasi Gandhi, Katsuyuki Taguchi

Proceedings Volume 7258, 725824 (2009) https://doi.org/10.1117/12.813915

KEYWORDS: Sensors, X-rays, Photon counting, X-ray computed tomography, X-ray detectors, Crystals, Calibration, Signal detection, X-ray imaging, Electronics

Read Abstract +

Proceedings Article | 28 February 2009 Paper

Toward modeling of regional myocardial ischemia and infarction: generation of realistic coronary arterial tree for the heart model of the XCAT phantom

George S. Fung, W. Paul Segars, Alexander Veress, Grant Gullberg, Benjamin M. Tsui

Proceedings Volume 7262, 726215 (2009) https://doi.org/10.1117/12.811571

KEYWORDS: 3D modeling, Computed tomography, Heart, Arteries, Image segmentation, Data modeling, Ischemia, Medical imaging, Instrument modeling, 3D image processing

Read Abstract +

Proceedings Article | 27 February 2009 Paper

Patient specific computerized phantoms to estimate dose in pediatric CT

W. Segars, G. Sturgeon, X. Li, L. Cheng, C. Ceritoglu, J. Ratnanather, M. Miller, B. M. Tsui, D. Frush, E. Samei

Proceedings Volume 7258, 72580H (2009) https://doi.org/10.1117/12.813517

KEYWORDS: Computed tomography, 3D modeling, Bone, Image segmentation, Data modeling, Mathematical modeling, Natural surfaces, Medical imaging, Chest, Algorithm development

Read Abstract +

Proceedings Article | 18 March 2008 Paper

Electronic noise compensation in iterative x-ray CT reconstruction

Jingyan Xu, Benjamin M. Tsui

Proceedings Volume 6913, 69132H (2008) https://doi.org/10.1117/12.772843

KEYWORDS: X-rays, Reconstruction algorithms, X-ray detectors, Sensors, CT reconstruction, Interference (communication), Signal detection, Systems modeling, Signal attenuation, Polymethylmethacrylate

Read Abstract +

Proceedings Article | 28 March 2007 Paper

Image-domain motion compensated time resolved 4D cardiac CT

Katsuyuki Taguchi, Zhihui Sun, W. Paul Segars, Elliot Fishman, Benjamin Tsui

Proceedings Volume 6510, 651016 (2007) https://doi.org/10.1117/12.709980

KEYWORDS: Motion estimation, Computed tomography, Heart, Reconstruction algorithms, Algorithm development, Image processing, Temporal resolution, Arteries, Image restoration, Image analysis

Read Abstract +

Proceedings Article | 16 March 2007 Paper

Image-domain material decomposition using photon-counting CT

Katsuyuki Taguchi, Mengxi Zhang, Eric Frey, Jingyan Xu, W. Paul Segars, Benjamin Tsui

Proceedings Volume 6510, 651008 (2007) https://doi.org/10.1117/12.713508

KEYWORDS: Sensors, Signal attenuation, X-rays, Spine, Bone, X-ray detectors, Iodine, Compton scattering, X-ray computed tomography, Photon counting

Read Abstract +

Proceedings Article | 16 March 2007 Paper

A Poisson likelihood iterative reconstruction algorithm for material decomposition in CT

Jingyan Xu, Eric Frey, Katsuyuki Taguchi, Benjamin Tsui

Proceedings Volume 6510, 65101Z (2007) https://doi.org/10.1117/12.713727

KEYWORDS: Signal attenuation, Reconstruction algorithms, Aluminum, Sensors, X-rays, Polymethylmethacrylate, X-ray detectors, Photons, Algorithm development, Photodetectors

Read Abstract +

Emerging photon-counting detectors with energy discrimination ability for x-ray CT perform binning according to the energy of the incoming photons. Multiple output channels with different energy thresholds can be obtained in one irradiation. The energy dependency of attenuation coefficients can be described by a linear combination of basis functions, e.g., Compton scatter and photo-electric effect; their individual contributions can be differentiated by using the multiple energy channels hence material characterization is made possible. Conventional analytic approach is a two-step process. First decompose in the projection domain to obtain the sinograms corresponding to the coefficients of the basis functions, then apply FBP to obtain the individual material components. This two-step process may have poor quality and quantitative accuracy due to the lower counts in the separate energy channels and approximation errors propagated to the image domain from projection domain decomposition. In this work we modeled the energy dependency of linear attenuation coefficients in our problem formulation and applied the optimality transfer principle to derive a Poisson-likelihood based algorithm for material decomposition from multiple energy channels. Our algorithm reconstructs the coefficients of the basis functions directly therefore the separate non-linear estimation step in the projection domain as in conventional approaches is avoided. We performed simulations to study the accuracy and noise properties of our method. We synthesized the linear attenuation coefficients at a reference energy and compared with standard attenuation values provided by NIST. We also synthesized the attenuation maps at different effective energy bin centers corresponding to the different energy channels and compared the synthesized images with reconstructions from standard fan-beam FBP methods. Preliminary simulations showed that our reconstructed images have much better noise properties.

Proceedings Article | 16 March 2007 Paper

Investigation of the use of photon counting x-ray detectors with energy discrimination capability for material decomposition in micro-computed tomography

E. Frey, X. Wang, Y. Du, K. Taguchi, J. Xu, B. Tsui

Proceedings Volume 6510, 65100A (2007) https://doi.org/10.1117/12.711711

KEYWORDS: Sensors, X-rays, Polymethylmethacrylate, X-ray detectors, Calibration, Photon counting, Monte Carlo methods, Data modeling, Signal attenuation, Aluminum

Read Abstract +

Proceedings Article | 15 March 2007 Paper

Microcomputed tomography with a photon-counting x-ray detector

E. Frey, K. Taguchi, M. Kapusta, J. Xu, T. Orskaug, I. Ninive, D. Wagenaar, B. Patt, B. Tsui

Proceedings Volume 6510, 65101R (2007) https://doi.org/10.1117/12.711647

KEYWORDS: Sensors, X-rays, X-ray detectors, Photon counting, X-ray computed tomography, Photodetectors, Tissues, X-ray imaging, Microcomputed tomography, Signal to noise ratio

Read Abstract +

Proceedings Article | 17 March 2006 Paper

Exploring FROC paradigm: initial experience with clinical applications

Lana Volokh, Chi Liu, Benjamin Tsui

Proceedings Volume 6146, 61460D (2006) https://doi.org/10.1117/12.653247

KEYWORDS: Statistical analysis, Image quality, Single photon emission computed tomography, Data acquisition, Image processing, Diagnostics, Image restoration, Clinical trials, Data analysis, Image analysis

Read Abstract +

Proceedings Article | 2 March 2006 Paper

Toward time resolved 4D cardiac CT imaging with patient dose reduction: estimating the global heart motion

Katsuyuki Taguchi, W. Paul Segars, George Fung, Benjamin Tsui

Proceedings Volume 6142, 61420J (2006) https://doi.org/10.1117/12.653279

KEYWORDS: Motion estimation, Heart, Computed tomography, Temporal resolution, Modulation, Motion measurement, Reconstruction algorithms, Arteries, Spatial resolution, Image restoration

Read Abstract +

Proceedings Article | 2 March 2006 Paper

Development of a computer-generated model for the coronary arterial tree based on multislice CT and morphometric data

George Fung, W. Paul Segars, Katsuyuki Taguchi, Elliot Fishman, Benjamin Tsui

Proceedings Volume 6142, 61421M (2006) https://doi.org/10.1117/12.653491

KEYWORDS: Arteries, Data modeling, 3D modeling, Heart, Image segmentation, Computer simulations, Motion models, Computed tomography, Medical imaging, Mathematical modeling

Read Abstract +

Proceedings Article | 2 March 2006 Paper

Effect of heart rate on CT angiography using the enhanced cardiac model of the 4D NCAT

W. Segars, K. Taguchi, G. Fung, E. Fishman, B. Tsui

Proceedings Volume 6142, 61420I (2006) https://doi.org/10.1117/12.653347

KEYWORDS: Heart, Beam propagation method, Data modeling, 3D modeling, Motion models, Arteries, Data acquisition, X-ray computed tomography, Computed tomography, Angiography

Read Abstract +

Proceedings Article | 20 April 2005 Paper

Validation of the 4D NCAT simulation tools for use in high-resolution x-ray CT research

W. Segars, Mahadevappa Mahesh, T. Beck, E. Frey, B. Tsui

Proceedings Volume 5745, (2005) https://doi.org/10.1117/12.595987

KEYWORDS: X-ray computed tomography, Computer simulations, X-rays, Motion models, Algorithm development, Scanners, CT reconstruction, Data modeling, Computed tomography, X-ray imaging

Read Abstract +

Proceedings Article | 26 October 2004 Paper

Gated cardiac SPECT in rodents using a dedicated SPECT system: X-SPECT

Thor Vandehei, J. Li, Koji Iwata, Bradley Patt, G. Caravaglia, Neal Hartsough, Bruce Hasegawa, Benjamin Tsui

Proceedings Volume 5541, (2004) https://doi.org/10.1117/12.567145

KEYWORDS: Single photon emission computed tomography, Cameras, Data acquisition, Heart, Imaging systems, Collimators, Expectation maximization algorithms, Sensors, Motion measurement, Spatial resolution

Read Abstract +

Proceedings Article | 28 May 2001 Paper

Simulating patient-specific heart shape and motion using SPECT perfusion images with the MCAT phantom

Tracy Faber, Ernest Garcia, David Lalush, W. Paul Segars, Benjamin Tsui

Proceedings Volume 4319, (2001) https://doi.org/10.1117/12.428050

KEYWORDS: Single photon emission computed tomography, Heart, Computer simulations, Visualization, Signal attenuation, Motion models, Single photon, Tomography, Mathematical modeling, 3D modeling

Read Abstract +

Proceedings Article | 6 June 2000 Paper

Artifacts in transmission computed tomography (TCT) reconstructed images with truncated projection data: is better sampling the answer?

George Gregoriou, Benjamin Tsui

Proceedings Volume 3979, (2000) https://doi.org/10.1117/12.387634

KEYWORDS: Reconstruction algorithms, Signal attenuation, Condition numbers, CT reconstruction, Computed tomography, Sensors, Single photon emission computed tomography, Computer simulations, Detection and tracking algorithms, Image restoration

Read Abstract +

Proceedings Article | 3 July 1998 Paper

Dynamic heart model for the mathematical cardiac torso (MCAT) phantom to represent the invariant total heart volume

P. Pretorius, Michael King, Benjamin Tsui, Karen LaCroix, Weishi Xia

Proceedings Volume 3337, (1998) https://doi.org/10.1117/12.312559

KEYWORDS: Heart, Signal attenuation, Motion models, Single photon emission computed tomography, Mathematical modeling, Blood, Imaging systems, 3D modeling, Monte Carlo methods, Sensors

Read Abstract +

This manuscript documents the alteration of the heart model of the MCAT phantom to better represent cardiac motion. The objective of the inclusion of motion was to develop a digital simulation of the heart such that the impact of cardiac motion on single photon emission computed tomography (SPECT) imaging could be assessed and methods of quantitating cardiac function could be investigated. The motion of the dynamic MCAT's heart is modeled by a 128 time frame volume curve. Eight time frames are averaged together to obtain a gated perfusion acquisition of 16 time frames and ensure motion within every time frame. The position of the MCAT heart was changed during contraction to rotate back and forth around the long axis through the center of the left ventricle (LV) using the end systolic time frame as turning point. Simple respiratory motion was also introduced by changing the orientation of the heart model in a 2 dimensional (2D) plane with every time frame. The averaging effect of respiratory motion in a specific time frame was modeled by randomly selecting multiple heart locations between two extreme orientations. Non-gated perfusion phantoms were also generated by averaging over all time frames. Maximal chamber volumes were selected to fit a profile of a normal healthy person. These volumes were changed during contraction of the ventricles such that the increase in volume in the atria compensated for the decrease in volume in the ventricles. The myocardium were modeled to represent shortening of muscle fibers during contraction with the base of the ventricles moving towards a static apex. The apical region was modeled with moderate wall thinning present while myocardial mass was conserved. To test the applicability of the dynamic heart model, myocardial wall thickening was measured using maximum counts and full width half maximum measurements, and compared with published trends. An analytical 3D projector, with attenuation and detector response included, was used to generate radionuclide projection data sets. After reconstruction a linear relationship was obtained between maximum myocardial counts and myocardium thickness, similar to published results. A numeric difference in values from different locations exist due to different amounts of attenuation present. Similar results were obtained for FWHM measurements. Also, a hot apical region on the polar maps without attenuation compensation turns into an apical defect with attenuation compensation. The apical decrease was more prominent in ED than ES due to the change in the partial volume effect. Both of these agree with clinical trends. It is concluded that the dynamic MCAT (dMCAT) phantom can be used to study the influence of various physical parameters on radionuclide perfusion imaging.

Showing 5 of 30 publications

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years