Dr. Damini Dey Profile

Dr. Damini Dey

Research Scientist at Cedars-Sinai Medical Ctr

SPIE Involvement:

Conference Program Committee | Author

Publications (27)

Proceedings Article | 2 April 2024 Presentation + Paper

Presentation + Paper

Deep learning-based epicardial adipose tissue measurement, maximizing prognostic information from attenuation correction imaging

Aakash Shanbhag, Robert J. Miller, Aditya Killekar, Mark Lemley, Bryan Bednarski, Serge Van Kriekinge, Paul Kavanagh, Attila Feher, Edward Miller, Timothy Bateman, Joanna Liang, Valerie Builoff, Daniel Berman, Damini Dey, Piotr Slomka

Proceedings Volume 12930, 129300B (2024) https://doi.org/10.1117/12.3007914

KEYWORDS: Computed tomography, Deep learning, Adipose tissue, Chest, Medicine, Education and training, Attenuation correction, Attenuation, Signal attenuation

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Proceedings Article | 3 April 2023 Presentation + Paper

Presentation + Paper

Comparative analysis between convolutional long short-term memory networks and vision transformers for coronary calcium scoring in non-contrast CT

Aakash D. Shanbhag, Konrad Pieszko, Robert J.H. Miller, Aditya Killekar, Waechter Parker, Heidi Gransar, Michelle Williams, Daniel Berman, Damini Dey, Piotr Slomka

Proceedings Volume 12464, 124640D (2023) https://doi.org/10.1117/12.2655397

KEYWORDS: Transformers, Calcium, Education and training, Arteries, Computed tomography, Medical imaging, Image segmentation, Deep learning, Medicine, Matrices

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Proceedings Article | 3 April 2023 Presentation + Paper

Presentation + Paper

Direct head-to-head comparison of convolutional long short-term memory and transformer networks for artificial Intelligence-based quantification of atherosclerotic plaque and stenosis from coronary CT angiography

Nipun Manral, Andrew Lin, Caroline Park, Priscilla McElhinney, Aditya Killekar, Matsumoto Hidenari, Jacek Kwiecinski, Konrad Pieszko, Aryabod Razipour, Kajetan Grodecki, Mhairi Doris, Alan Kwan, Donghee Han, Keiichiro Kuronuma, Guadalupe Flores Tomasino, Evangelos Tzolos, Aakash Shanbhag, Markus Goeller, Mohamed Marwan, Sebastien Cadet, Stephen Achenbach, Stephen Nicholls, Dennis Wong, Daniel Berman, Marc Dweck, David Newby, Michelle Williams, Piotr Slomka, Damini Dey

Proceedings Volume 12464, 1246413 (2023) https://doi.org/10.1117/12.2655556

KEYWORDS: Transformers, Heart, Education and training, Computed tomography, Atherosclerosis, Angiography, Network architectures, Deep learning, Medicine, Medical research

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Proceedings Article | 3 April 2023 Presentation + Paper

Presentation + Paper

Transferring deep convolutional network representations from SPECT to improve PET cardiac outcome prediction

Bryan Bednarski, Aakash D. Shanbhag, Ananya Singh, Robert J. Miller, Heidi Gransar, Keiichiro Kuronuma, Tali Sharir, Sharmila Dorbala, Marcelo Di Carli, Matthews Fish, Terrence Ruddy, Daniel Berman, Damini Dey, Piotr Slomka

Proceedings Volume 12464, 124640F (2023) https://doi.org/10.1117/12.2654439

KEYWORDS: Positron emission tomography, Single photon emission computed tomography, Machine learning, Data modeling, Deep learning, Detection and tracking algorithms

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Proceedings Article | 3 April 2023 Poster + Paper

Poster + Paper

Pseudo-contrast cardiac CT angiography derived from non-contrast CT using conditional generative adversarial networks

Aditya Killekar, Jacek Kwiecinski, Mariusz Kruk, Cezary Kepka, Aakash Shanbhag, Damini Dey, Piotr Slomka

Proceedings Volume 12464, 124643F (2023) https://doi.org/10.1117/12.2654592

KEYWORDS: Heart, Education and training, Gallium nitride, Computed tomography, Angiography, Biomedical applications, Cardiovascular disorders, Arteries, Ablation, Medical imaging, Deep learning

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SPIE Journal Paper | 6 September 2022 Open Access

Open Access

Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional long short-term memory networks

Aditya Killekar, Kajetan Grodecki, Andrew Lin, Sebastien Cadet, Priscilla McElhinney, Aryabod Razipour, Cato Chan, Barry Pressman, Peter Julien, Peter Chen, Judit Simon, Pal Maurovich-Horvat, Nicola Gaibazzi, Udit Thakur, Elisabetta Mancini, Cecilia Agalbato, Jiro Munechika, Hidenari Matsumoto, Roberto Menè, Gianfranco Parati, Franco Cernigliaro, Nitesh Nerlekar, Camilla Torlasco, Gianluca Pontone, Damini Dey, Piotr Slomka

JMI, Vol. 9, Issue 05, 054001, (September 2022) https://doi.org/10.1117/12.10.1117/1.JMI.9.5.054001

KEYWORDS: Computed tomography, Lung, Opacity, Image segmentation, Control systems, Data modeling, Chest, Performance modeling, Diagnostics, Binary data

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Proceedings Article | 4 April 2022 Poster + Paper

Poster + Paper

Artificial Intelligence-based quantification of atherosclerotic plaque and stenosis from coronary computed tomography angiography using a novel method

Andrew Lin, Nipun Manral, Priscilla McElhinney, Aditya Killekar, Hidenari Matsumoto, Jacek Kwiecinski, Konrad Pieszko, Aryabod Razipour, Kajetan Grodecki, Caroline Park, Mhairi Doris, Alan Kwan, Donghee Han, Keiichiro Kuronama, Guadalupe Flores Tomasino, Evangelos Tzolos, Aakash Shanbhag, Markus Goeller, Mohamed Marwan, Sebastien Cadet, Stephan Achenbach, Stephen Nicholls, Dennis Wong, Daniel Berman, Marc Dweck, David Newby, Michelle Williams, Piotr Slomka, Damini Dey

Proceedings Volume 12031, 120312W (2022) https://doi.org/10.1117/12.2613244

KEYWORDS: Computed tomography, Angiography, Heart, Artificial intelligence, Medicine, Medical research, Network architectures, Image segmentation

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Proceedings Article | 4 April 2022 Poster + Paper

Poster + Paper

COVID-19 lesion segmentation using convolutional LSTM for self-attention

Aditya Killekar, Kajetan Grodecki, Andrew Lin, Sebastien Cadet, Priscilla McElhinney, Aryabod Razipour, Cato Chan, Barry Pressman, Peter Julien, Peter Chen, Judit Simon, Nitesh Nerlekar, Pál Maurovich-Horvat, Nicola Gaibazzi, Udit Thakur, Elisabetta Mancini, Cecilia Agalbato, Jiro Munechika, Hidenari Matsumoto, Roberto Menè, Damini Dey, Gianfranco Parati, Franco Cernigliaro, Camilla Torlasco, Gianluca Pontone, Piotr Slomka

Proceedings Volume 12032, 120323P (2022) https://doi.org/10.1117/12.2613272

KEYWORDS: Machine learning, Image segmentation, Lung, Computed tomography, Artificial intelligence, Medical imaging

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Proceedings Article | 4 April 2022 Poster + Paper

Poster + Paper

Calcium scoring in low-dose ungated chest CT scans using convolutional long-short term memory networks

K. Pieszko, A. Shanbhag, A. Killekar, M. Lemley, Y. Otaki, Serge Van Kriekinge, Paul Kavanagh, Robert J. H. Miller, Edward Miller, Tim Bateman, D. Dey, D. Berman, P. Slomka

Proceedings Volume 12032, 120323A (2022) https://doi.org/10.1117/12.2613147

KEYWORDS: Calcium, Computed tomography, Arteries, Positron emission tomography, Signal attenuation, Heart, Data modeling, Chest, Medicine, Data centers

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Proceedings Article | 15 March 2019 Paper

Paper

Deep learning-based stenosis quantification from coronary CT angiography

Youngtaek Hong, Frederic Commandeur, Sebastien Cadet, Markus Goeller, Mhairi Doris, Xi Chen, Jacek Kwiecinski, Daniel Berman, Piotr Slomka, Hyuk-Jae Chang, Damini Dey

Proceedings Volume 10949, 109492I (2019) https://doi.org/10.1117/12.2512168

KEYWORDS: Computed tomography, Image segmentation, Angiography, Arteries, Statistical analysis, Medicine, Convolutional neural networks, Neuroimaging, Brain, Cardiology

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Proceedings Article | 21 March 2016 Paper

Paper

Automatic detection of cardiovascular risk in CT attenuation correction maps in Rb-82 PET/CTs

Ivana Išgum, Bob de Vos, Jelmer Wolterink, Damini Dey, Daniel Berman, Mathieu Rubeaux, Tim Leiner, Piotr Slomka

Proceedings Volume 9784, 978405 (2016) https://doi.org/10.1117/12.2216992

KEYWORDS: Calcium, Algorithm development, Computed tomography, Arteries, Chest, Positron emission tomography

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Proceedings Article | 21 March 2016 Paper

Paper

Demons versus level-set motion registration for coronary 18F-sodium fluoride PET

Mathieu Rubeaux, Nikhil Joshi, Marc Dweck, Alison Fletcher, Manish Motwani, Louise Thomson, Guido Germano, Damini Dey, Daniel Berman, David Newby, Piotr Slomka

Proceedings Volume 9784, 97843Y (2016) https://doi.org/10.1117/12.2217179

KEYWORDS: Positron emission tomography, Image registration, Image quality, Arteries, Angiography, Electrocardiography, Image processing, Heart, Statistical analysis, Image enhancement, Motion estimation

Read Abstract +

Ruptured coronary atherosclerotic plaques commonly cause acute myocardial infarction. It has been recently shown that active microcalcification in the coronary arteries, one of the features that characterizes vulnerable plaques at risk of rupture, can be imaged using cardiac gated ¹⁸F-sodium fluoride (¹⁸F-NaF) PET. We have shown in previous work that a motion correction technique applied to cardiac-gated ¹⁸F-NaF PET images can enhance image quality and improve uptake estimates. In this study, we further investigated the applicability of different algorithms for registration of the coronary artery PET images. In particular, we aimed to compare demons vs. level-set nonlinear registration techniques applied for the correction of cardiac motion in coronary ¹⁸F-NaF PET. To this end, fifteen patients underwent ¹⁸F-NaF PET and prospective coronary CT angiography (CCTA). PET data were reconstructed in 10 ECG gated bins; subsequently these gated bins were registered using demons and level-set methods guided by the extracted coronary arteries from CCTA, to eliminate the effect of cardiac motion on PET images. Noise levels, target-to-background ratios (TBR) and global motion were compared to assess image quality. Compared to the reference standard of using only diastolic PET image (25% of the counts from PET acquisition), cardiac motion registration using either level-set or demons techniques almost halved image noise due to the use of counts from the full PET acquisition and increased TBR difference between ¹⁸F-NaF positive and negative lesions. The demons method produces smoother deformation fields, exhibiting no singularities (which reflects how physically plausible the registration deformation is), as compared to the level-set method, which presents between 4 and 8% of singularities, depending on the coronary artery considered. In conclusion, the demons method produces smoother motion fields as compared to the level-set method, with a motion that is physiologically plausible. Therefore, level-set technique will likely require additional post-processing steps. On the other hand, the observed TBR increases were the highest for the level-set technique. Further investigations of the optimal registration technique of this novel coronary PET imaging technique are warranted.

SPIE Journal Paper | 18 February 2016

Automated pericardial fat quantification from coronary magnetic resonance angiography: feasibility study

Xiaowei Ding, Jianing Pang, Zhou Ren, Mariana Diaz-Zamudio, Chenfanfu Jiang, Zhaoyang Fan, Daniel Berman, Debiao Li, Demetri Terzopoulos, Piotr Slomka, Damini Dey

JMI, Vol. 3, Issue 01, 014002, (February 2016) https://doi.org/10.1117/12.10.1117/1.JMI.3.1.014002

KEYWORDS: Image segmentation, Heart, Image processing algorithms and systems, Magnetic resonance angiography, 3D image processing, Magnetic resonance imaging, Image fusion, Image registration, Computed tomography, 3D acquisition

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Proceedings Article | 20 March 2015 Paper

Paper

Automated coronary artery calcium scoring from non-contrast CT using a patient-specific algorithm

Xiaowei Ding, Piotr Slomka, Mariana Diaz-Zamudio, Guido Germano, Daniel Berman, Demetri Terzopoulos, Damini Dey

Proceedings Volume 9413, 94132U (2015) https://doi.org/10.1117/12.2081633

KEYWORDS: Arteries, Calcium, Computed tomography, Image segmentation, Heart, Image registration, Algorithm development, Medicine, Biomedical optics, Image analysis

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SPIE Journal Paper | 6 March 2015

Structured learning algorithm for detection of nonobstructive and obstructive coronary plaque lesions from computed tomography angiography

Dongwoo Kang, Damini Dey, Piotr Slomka, Reza Arsanjani, Ryo Nakazato, Hyunsuk Ko, Daniel Berman, Debiao Li, C. C. Jay Kuo

JMI, Vol. 2, Issue 01, 014003, (March 2015) https://doi.org/10.1117/12.10.1117/1.JMI.2.1.014003

KEYWORDS: Arteries, Detection and tracking algorithms, Machine learning, Angiography, Algorithm development, Image segmentation, Computed tomography, Visualization, Feature extraction, Receivers

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Proceedings Article | 21 March 2014 Paper

Paper

Automated epicardial fat volume quantification from non-contrast CT

Xiaowei Ding, Demetri Terzopoulos, Mariana Diaz-Zamudio, Daniel Berman, Piotr Slomka, Damini Dey

Proceedings Volume 9034, 90340I (2014) https://doi.org/10.1117/12.2043326

KEYWORDS: Image segmentation, Computed tomography, Image registration, Heart, Image processing, Calcium, Image processing algorithms and systems, Medicine, Algorithm development, Medical imaging

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Proceedings Article | 13 March 2013 Paper

Paper

Image denoising of low-radiation dose coronary CT angiography by an adaptive block-matching 3D algorithm

Dongwoo Kang, Piotr Slomka, Ryo Nakazato, Jonghye Woo, Daniel Berman, C.-C. Jay Kuo, Damini Dey

Proceedings Volume 8669, 86692G (2013) https://doi.org/10.1117/12.2006907

KEYWORDS: Denoising, 3D image processing, Computed tomography, Blood, Image denoising, X-ray computed tomography, Angiography, Scanners, Phase shift keying, Image analysis

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SPIE Journal Paper | 19 April 2012 Open Access

Open Access

Heart chambers and whole heart segmentation techniques: review

Dongwoo Kang, Jonghye Woo, C. C. Jay Kuo, Piotr Slomka, Damini Dey, Guido Germano

JEI, Vol. 21, Issue 1, 010901, (April 2012) https://doi.org/10.1117/12.10.1117/1.JEI.21.1.010901

KEYWORDS: Image segmentation, Heart, Magnetic resonance imaging, Computed tomography, Single photon emission computed tomography, 3D modeling, 3D image processing, Visualization, Expectation maximization algorithms, Medicine

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Proceedings Article | 14 February 2012 Paper

Paper

Automatic detection of significant and subtle arterial lesions from coronary CT angiography

Dongwoo Kang, Piotr Slomka, Ryo Nakazato, Victor Cheng, James Min, Debiao Li, Daniel Berman, C.-C. Jay Kuo, Damini Dey

Proceedings Volume 8314, 831435 (2012) https://doi.org/10.1117/12.911659

KEYWORDS: Arteries, Visualization, Detection and tracking algorithms, Signal attenuation, Angiography, Visual analytics, 3D image processing, Algorithm development, Image processing algorithms and systems, Feature extraction

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Proceedings Article | 14 February 2012 Paper

Paper

Feasibility of determining myocardial transient ischemic dilation from cardiac CT by automated stress/rest registration

Jonghye Woo, Piotr Slomka, Ryo Nakazato, Balaji Tamarappoo, James Min, Guido Germano, Daniel Berman, Damini Dey

Proceedings Volume 8314, 83140G (2012) https://doi.org/10.1117/12.911472

KEYWORDS: Image segmentation, Blood, Computed tomography, Image registration, Single photon emission computed tomography, Arteries, Image quality, Image quality standards, Medicine, Biomedical optics

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Proceedings Article | 13 March 2010 Paper

Paper

Automated algorithm for atlas-based segmentation of the heart and pericardium from non-contrast CT

Damini Dey, Amit Ramesh, Piotr Slomka, Ryo Nakazato, Victor Cheng, Guido Germano, Daniel Berman

Proceedings Volume 7623, 762337 (2010) https://doi.org/10.1117/12.844810

KEYWORDS: Image segmentation, Heart, Computed tomography, Image registration, Calcium, Image processing algorithms and systems, Algorithm development, Medicine, Data acquisition, Image classification

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Proceedings Article | 13 March 2010 Paper

Paper

Knowledge-based quantification of pericardial fat in non-contrast CT data

Raja Yalamanchili, Damini Dey, Uday Kukure, Ryo Nakazato, Daniel Berman, Ioannis Kakadiaris

Proceedings Volume 7623, 76231X (2010) https://doi.org/10.1117/12.843867

KEYWORDS: Computed tomography, Heart, Tissues, Calcium, Lung, Binary data, Feature extraction, Image segmentation, Signal attenuation, Feature selection

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Proceedings Article | 27 March 2009 Paper

Paper

Feature-based non-rigid volume registration of serial coronary CT angiography

Jonghye Woo, Byung-Woo Hong, Damini Dey, Victor Cheng, Amit Ramesh, Ganesh Sundaramoorthi, C.-C. Jay Kuo, Daniel Berman, Guido Germano, Piotr Slomka

Proceedings Volume 7259, 72590R (2009) https://doi.org/10.1117/12.814146

KEYWORDS: Image registration, Arteries, Computed tomography, Binary data, Angiography, Image segmentation, Distance measurement, Scanners, Image processing, Medical imaging

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Proceedings Article | 12 April 2005 Paper

Paper

Efficient 3D nonlinear warping of computed tomography: two high-performance implementations using OpenGL

David Levin, Damini Dey, Piotr Slomka

Proceedings Volume 5744, (2005) https://doi.org/10.1117/12.595935

KEYWORDS: Visualization, Detection and tracking algorithms, OpenGL, Computed tomography, 3D image processing, Medical imaging, Visual analytics, Lung, Image processing, Image quality

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Proceedings Article | 15 May 2003 Paper

Paper

Four-dimensional multimodality image registration applied to gated SPECT and gated MRI

Usaf Aladl, Gilbert Hurwitz, Damini Dey, Piotr Slomka

Proceedings Volume 5032, (2003) https://doi.org/10.1117/12.481151

KEYWORDS: Magnetic resonance imaging, Image registration, Single photon emission computed tomography, Image segmentation, Heart, Image processing algorithms and systems, Tolerancing, Visualization, Image processing, Medical imaging

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Proceedings Article | 20 April 2000 Paper

Paper

Automated three-dimensional spatial standardization and quantification of myocardial perfusion tomography: alternative to polar maps

Piotr Slomka, Perry Radau, Gilbert Hurwitz, Damini Dey

Proceedings Volume 3978, (2000) https://doi.org/10.1117/12.383423

KEYWORDS: Visualization, Image registration, Angiography, Tomography, Heart, Databases, Image processing, 3D displays, 3D image processing, Visual analytics

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Proceedings Article | 18 April 2000 Paper

Paper

Mapping of endoscopic images to object surfaces via ray-traced texture mapping for image guidance in neurosurgery

Damini Dey, David Gobbi, Kathleen Surry, Piotr Slomka, Terence Peters

Proceedings Volume 3976, (2000) https://doi.org/10.1117/12.383051

KEYWORDS: Endoscopy, Endoscopes, 3D image processing, Volume rendering, Visualization, Optical tracking, Calibration, Video, Computed tomography, 3D modeling

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Showing 5 of 27 publications

Conference Committee Involvement (3)

Image Processing

17 February 2025 | San Diego, California, United States

Image Processing

19 February 2024 | San Diego, California, United States

Image Processing

20 February 2023 | San Diego, California, United States

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