Dr. Arundhuti Ganguly Profile

Dr. Arundhuti Ganguly

Sr Director

SPIE Involvement:

Conference Program Committee | Author

Area of Expertise:

x-ray imaging , multi-modality imaging , interventional image guidance , detector physics , radiation therapy , clinical applications

Websites:

Company Website

Publications (16)

Proceedings Article | 3 October 2023 Paper

High efficiency x-ray sources

A. Ganguly, A. Shiroma, F. Toufexis, S. Tantawi

Proceedings Volume 12696, 1269604 (2023) https://doi.org/10.1117/12.2682158

KEYWORDS: Design and modelling, X-ray sources, Pulse signals, Particles, Stanford Linear Collider, Reflection, Manufacturing, X-rays, Prototyping, Copper

Read Abstract +

Proceedings Article | 3 April 2019 Presentation + Paper

Comparison of CMOS and amorphous silicon detectors: determining the correct selection criteria, to optimize system performance for typical imaging tasks

Isaias Job, Arundhuti Ganguly, Don Vernekohl, Richard Weisfield, Elena Muñoz, Jin Zhang, Carlo Tognina, Rick Colbeth

Proceedings Volume 10948, 109480F (2019) https://doi.org/10.1117/12.2513500

KEYWORDS: Amorphous silicon, Sensors, CMOS sensors, Scintillators, X-rays, Modulation transfer functions, Imaging systems, X-ray imaging

Read Abstract +

Complementary metal-oxide-semiconductors (CMOS) flat panel detectors (FPD) have steadily gained acceptance into medical imaging applications1-15. Selecting the proper detector technology for the imaging task requires optimization to balance the cost and the image quality. To facilitate this, fundamental detector performance of CMOS and a-Si panels were evaluated using the following quantitative imaging metrics: X-ray sensitivity, Noise Equivalent Dose (NED,) Noise Power Spectrum (NPS), Modulation Transfer Function (MTF), and Detective Quantum Efficiency (DQE). Imaging task measurements involved high-contrast and low-contrast resolution assessment. Varex FPDs evaluated for this study included: CMOS 3131 (150 μm pixel), a-Si 3030X (194 μm pixel), a-Si XRpad2 3025 (100 μm) and CMOS 2020 (100 μm pixel). Performance comparisons were organized by pixel size: large pixels, 150 μm CMOS and 194 μm a-Si, and small pixels, 100 μm in a-Si and CMOS technology. The results showed high dose DQE of the a-Si 3030X was about 10% higher than the CMOS 3131 between 0 - 1.8 cycles/mm, while beyond 1.8 cycles/mm, the CMOS performed better. The 3030X low dose DQE was higher than the 3131 between 0-1.3 cycles/mm, while the CMOS performance was higher beyond 1.3 cycles/mm. The high dose DQE of 100 μm a-Si was higher than the 100 μm CMOS for all frequencies. However, the low dose DQE of 100 μm CMOS was higher beyond 0.6 cycles/mm, while the 100 μm a-Si pixel had higher DQE only between 0 – 0.6 cycles/mm. Large pixel image quality (IQ) assessment favored a-Si pixel with 7% higher Contrast-to-Noise-Ratio (CNR) results for both high and low contrast-detail at 500 nGy. Small pixel CNR favored CMOS with ~38% better high contrast-detail and 12% greater low contrast-detail at ~500 nGy. Through these measurements that combine imaging metrics and image quality, we demonstrated a practical method for selecting the appropriate detector technology based on the requirements of the imaging applications.

Proceedings Article | 9 March 2018 Presentation + Paper

X-ray performance of new high dynamic range CMOS detector

Arundhuti Ganguly, P. Gerhard Roos, Tom Simak, J. Michael Yu, Steven Freestone, Donald Hondongwa, Richard Colbeth, Ivan Mollov

Proceedings Volume 10573, 105730N (2018) https://doi.org/10.1117/12.2293771

KEYWORDS: Sensors, X-rays, CMOS sensors, Imaging systems, X-ray imaging, X-ray detectors, Modulation transfer functions, Scintillators, Image resolution, Semiconducting wafers

Read Abstract +

Proceedings Article | 18 March 2015 Paper

Asymmetric scatter kernels for software-based scatter correction of gridless mammography

Adam Wang, Edward Shapiro, Sungwon Yoon, Arundhuti Ganguly, Cesar Proano, Rick Colbeth, Erkki Lehto, Josh Star-Lack

Proceedings Volume 9412, 94121I (2015) https://doi.org/10.1117/12.2081501

KEYWORDS: Breast, Mammography, Digital mammography, Monte Carlo methods, Sensors, Image quality, Signal detection, Signal attenuation, Image restoration, Point spread functions

Read Abstract +

Proceedings Article | 19 March 2014 Paper

Measurement of imaging properties of scintillating fiber optic plate

George Zentai, Arundhuti Ganguly, Josh Star-Lack, Gary Virshup, Hayley Hirsh, Daniel Shedlock, David Humber

Proceedings Volume 9033, 90333Q (2014) https://doi.org/10.1117/12.2043887

KEYWORDS: Modulation transfer functions, Imaging systems, X-rays, X-ray imaging, Fiber optics, Scintillators, Crystals, Fiber optics tests, Sensors, Copper

Read Abstract +

Proceedings Article | 9 March 2014 Paper

Evaluation of different scintillators for 1MV NDE x-ray imaging

George Zentai, Arundhuti Ganguly, Gary Visrshup

Proceedings Volume 9064, 90640N (2014) https://doi.org/10.1117/12.2045998

KEYWORDS: X-rays, Imaging systems, Sensors, Modulation transfer functions, Fiber optics, Photons, Scintillators, Absorption, X-ray imaging, Copper

Read Abstract +

Proceedings Article | 31 March 2012 Paper

Medical CT image reconstruction accuracy in the presence of metal objects using x-rays up to 1 MeV with x-ray targets of beryllium, carbon, aluminum, copper, and tungsten

James Clayton, Arundhuti Ganguly, Gary Virshup

Proceedings Volume 8344, 83441G (2012) https://doi.org/10.1117/12.917332

KEYWORDS: Metals, X-rays, X-ray computed tomography, Radiotherapy, Tissues, X-ray imaging, Amorphous silicon, Beryllium, Tungsten, Copper

Read Abstract +

Proceedings Article | 2 March 2011 Paper

Automatic measurement of contrast bolus distribution in carotid arteries using a C-arm angiography system to support interventional perfusion imaging

Andreas Fieselmann, Arundhuti Ganguly, Deuerling-Zheng Yu, Jan Boese, Joachim Hornegger, Rebecca Fahrig

Proceedings Volume 7964, 79641W (2011) https://doi.org/10.1117/12.877658

KEYWORDS: Simulation of CCA and DLA aggregates, Image segmentation, Imaging systems, Arteries, Angiography, Computed tomography, Visualization, Brain, Neuroimaging, Silver

Read Abstract +

Proceedings Article | 27 February 2010 Paper

Evaluating the feasibility of C-arm CT for brain perfusion imaging: an in vitro study

A. Ganguly, A. Fieselmann, J. Boese, C. Rohkohl, J. Hornegger, R. Fahrig

Proceedings Volume 7625, 76250K (2010) https://doi.org/10.1117/12.845386

KEYWORDS: Imaging systems, Computed tomography, Iodine, 3D acquisition, X-ray computed tomography, Neuroimaging, Brain, Data acquisition, 3D modeling, Image acquisition

Read Abstract +

Proceedings Article | 19 March 2008 Paper

On the angular dependence of Bremsstrahlung x-ray emission

A. Ganguly, N. Pelc

Proceedings Volume 6913, 69134P (2008) https://doi.org/10.1117/12.773235

KEYWORDS: X-rays, Monte Carlo methods, Tungsten, Optical spheres, Electron beams, Chemical species, Reflection, Photon transport, Absorption, Grazing incidence

Read Abstract +

Proceedings Article | 18 March 2008 Paper

Development of an MR compatible rotating anode x-ray tube

Prasheel Lillaney, John Bracken, Arun Ganguly, John Rowlands, Rebecca Fahrig

Proceedings Volume 6913, 691347 (2008) https://doi.org/10.1117/12.773911

KEYWORDS: X-rays, Electron beams, Magnetism, Finite element methods, X-ray imaging, Magnetic resonance imaging, Computer simulations, Sensors, 3D modeling, Surgery

Read Abstract +

Proceedings Article | 12 March 2008 Paper

In vivo imaging of superficial femoral artery (SFA) stents for deformation analysis

A. Ganguly, A. Schneider, B. Keck, N. R. Bennett, R. Fahrig

Proceedings Volume 6916, 69161Y (2008) https://doi.org/10.1117/12.772949

KEYWORDS: In vivo imaging, Arteries, Imaging systems, Image filtering, Image segmentation, Gaussian filters, 3D image processing, Software development, Human subjects, X-ray computed tomography

Read Abstract +

Proceedings Article | 6 April 2005 Paper

Efficiency of the human observer compared to an ideal observer based on a generalized NEQ which incorporates scatter and geometric unsharpness: evaluation with a 2AFC experiment

Iacovos Kyprianou, Arundhuti Ganguly, Stephen Rudin, Daniel Bednarek, Brandon Gallas, Kyle Myers

Proceedings Volume 5749, (2005) https://doi.org/10.1117/12.595870

KEYWORDS: Sensors, Signal to noise ratio, Modulation transfer functions, Imaging systems, X-rays, Iodine, X-ray detectors, X-ray imaging, Signal detection, Spatial frequencies

Read Abstract +

Proceedings Article | 26 October 2004 Paper

C-arm CT with XRIIs and digital flat panels: a review

Rebecca Fahrig, Arundhuti Ganguly, Jared Starman, Norbert Strobel

Proceedings Volume 5535, (2004) https://doi.org/10.1117/12.561147

KEYWORDS: Sensors, Modulation transfer functions, Computed tomography, Imaging systems, 3D image processing, Image quality, X-ray computed tomography, Image resolution, 3D acquisition, Data acquisition

Read Abstract +

Proceedings Article | 3 May 2002 Paper

Micro-angiographic detector with fluoroscopic capability

Stephen Rudin, Ye Wu, Iacovos Kyprianou, Ciprian Ionita, Zhou Wang, Arundhuti Ganguly, Daniel Bednarek

Proceedings Volume 4682, (2002) https://doi.org/10.1117/12.465575

KEYWORDS: Sensors, Modulation transfer functions, X-rays, Charge-coupled devices, CCD cameras, CCD image sensors, Angiography, Fluoroscopy, X-ray imaging, Fiber optics

Read Abstract +

Proceedings Article | 28 June 2001 Paper

Direct-conversion flat-panel detector for region-of-interest angiography

Arundhuti Ganguly, Stephen Rudin, Daniel Bednarek, Kenneth Hoffmann, Chang-Ying Yang, Zhou Wang

Proceedings Volume 4320, (2001) https://doi.org/10.1117/12.430949

KEYWORDS: CCD cameras, Sensors, Modulation transfer functions, Angiography, Optical transfer functions, X-rays, Imaging systems, Image quality, Charge-coupled devices, CCD image sensors

Read Abstract +