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Biomedical Applications in Molecular, Structural, and Functional Imaging 2023: San Diego, CA, USA
- Barjor S. Gimi, Andrzej Król:
Medical Imaging 2023: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, CA, USA, February 19-23, 2023. SPIE Proceedings 12468, SPIE 2022, ISBN 9781510660410
Keynote
- Dan Ma:
Clinical applications of fast and quantitative MR fingerprinting.
Machine Learning and Deep Learning
- Qi Chang, Danish Ahmad, Jennifer Toth, Rebecca Bascom, William E. Higgins:
ESFPNet: efficient deep learning architecture for real-time lesion segmentation in autofluorescence bronchoscopic video. - Jian Dai, Jayaram K. Udupa, Drew A. Torigian, Yubing Tong, Pengju Nie, Jing Zhang, Ran Li, Shiwei Han, Tian Liu:
A deep-learning-based geographic attention model for body composition tissue segmentation. - Ammar Hoori, Tao Hu, Juhwan Lee, Sadeer Al-Kindi, Sanjay Rajagopalan, David L. Wilson:
Analysis of paracardial adipose tissues using deep learning segmentation in CT calcium score images. - Kevin Mueller, Anke Meyer-Baese, Gordon Erlebacher:
Combining graph neural networks and ROI-based convolutional neural networks to infer individualized graphs for Alzheimer's prediction. - Ran Yan, Qian Cao, Sriharsha Marupudi, Ravi K. Samala, Nicholas Petrick:
Deep learning texture analysis for the assessment of trabecular bone stiffness in CT.
Mri, optical Methods, and Applications
- Jenita Manokaran, Julio Garcia Flores, Eranga Ukwatta:
Fully automated aortic segmentation of 3D phase-contrast magnetic resonance angiography images using deep learning techniques. - Guessy C. Wang, Jeremy M. L. Hix, Lorenzo Tavelli, Yang Yang:
Photoacoustic imaging of near-bone soft tissue vasculature in an ex vivo phantom. - Yuheng Li, Jing Wang, Chih-Wei Chang, Pretsh Patel, Ashesh B. Jani, Hui Mao, Tian Liu, Xiaofeng Yang:
Multi-parametric MRI radiomics analysis with ensemble learning for prostate lesion classification. - Ryan Armbruster, Anjali Talluru, Arijitt Borthakur, Warren B. Bilker, Ravinder Reddy, Susanta Sarkar:
Reproducibility of T1ρ MRI in the healthy human knee joint by measuring intra- and inter-vendor variability. - Shaoyan Pan, Chaoqiong Ma, Chih-Wei Chang, Jacob F. Wynne, Justin Roper, Tian Liu, Xiaofeng Yang:
Multi-structure segmentation on cardiac MRI using multilayer perceptron mixer network. - Seth Fillioe, Kyle K. Bishop, Alexander V. S. Jannini, John J. I. Kim, Ricky McDonough, Steven Ortiz, Julie Hasenwinkel, Charles M. Peterson, Joseph Chaiken:
PVOH and spontaneous Raman-based images of spinal cord in the immediate aftermath of localized contusive injury obtained noninvasively and in vivo in a rat model using remitted light from a single spatially scanned laser. - Yunheng Wu, Masahiro Oda, Yuichiro Hayashi, Shuntaro Kawamura, Takanori Takebe, Kensaku Mori:
Thrombosis region extraction and quantitative analysis in confocal laser scanning microscopic image sequence in in-vivo imaging.
Novel imaging Methods and Concepts I
- Eric S. Harmon, Michael O. Thompson, Charles Ross Schmidtlein, James N. Turner, Alberto Gola, Giacomo Borghi, Stefano Merzi, Elena Moretti, Andrzej Król:
Experimental proof of record-short coincidence time resolution performance achieved in 3×3×3 mm3 LYSO crystals. - Syed Ahmed Nadeem, Alejandro P. Comellas, Eric A. Hoffman, Punam K. Saha:
Automated detection of ribs in chest CT scans and assessment of changes in their morphology between Total Lung Capacity (TLC) and Residual Volume (RV). - Yibing Zhang, Yile Fang, Vigjna Abbaraju, Sriparna Bhattacharya, Jeffrey N. Anker, Ge Wang, Changqing Li:
Oxygenation imaging in deep tissue with X-ray Luminescence Computed Tomography (XLCT). - Jieyu Li, Jayaram K. Udupa, Yubing Tong, Drew A. Torigian:
Estimating normal metabolic activity for disease quantification via PET/CT images. - Heyuan Li, Gengxin Shi, Lauren Meckel, Deborah Cunningham, Daniel J. Wescott, Adam D. Sylvester, Nicolas Charon, Wojciech Zbijewski:
Body mass classification from skeletal elements using landmark-free morphological atlas estimation with diffeomorphic shape mapping.
Vascular imaging
- Vahid Daneshpajooh, Cédric Dumas, Danish Ahmad, Jennifer Toth, Rebecca Bascom, William E. Higgins:
Vascular pattern recognition for narrow-band imaging bronchoscopy. - Emily Vanderbilt, X. Simon Wu, Allison Shields, Swetadri Vasan Setlur Nagesh, Ciprian N. Ionita, Daniel R. Bednarek, Stephen Rudin:
Multi-angled simultaneous biplane High-Speed Angiography (HSA) of patient-specific 3D-printed aneurysm phantoms using 1000 fps CdTe Photon-Counting Detectors (PCD's). - X. Simon Wu, Allison Shields, Emily Vanderbilt, Swetadri Vasan Setlur Nagesh, Ciprian N. Ionita, Daniel R. Bednarek, Stephen Rudin:
Determining 3D distributions of pulsatile blood flow using orthogonal Simultaneous Biplane High-Speed Angiography (SB-HSA) with 1000 fps CdTe photon counting detectors for 3D X-ray Particle Image Velocimetry (3D-XPIV) compared to results using Computational Fluid Dynamics (CFD). - X. Simon Wu, Emily Vanderbilt, Swetadri Vasan Setlur Nagesh, Allison Shields, Ciprian N. Ionita, Daniel R. Bednarek, Stephen Rudin:
Comparison of pulsatile flow dynamics before and after endovascular intervention in 3D-printed patient-specific internal carotid artery aneurysm models using 1000 fps photon-counting detectors for Simultaneous Biplane High Speed Angiography (SB-HSA). - Parmita Mondal, Michael Udin, Mohammad Mahdi Shiraz Bhurwani, Kyle A. Williams, Ciprian N. Ionita:
Intra-operative optimal flow diverter selection for intracranial aneurysm treatment using angiographic parametric imaging: feasibility study. - Kyle A. Williams, Allison Shields, Swetadri Vasan Setlur Nagesh, Daniel R. Bednarek, Stephen Rudin, Ciprian N. Ionita:
Geometrically independent contrast dilution gradient (CDG) velocimetry using photon-counting 1000 fps High Speed Angiography (HSA) for 2D velocity distribution estimation.
Ct/XR Methods and Applications
- Savvas Savvidis, Mattia F. M. Gerli, Antonio Citro, Lorenzo Massimi, Charlotte K. Hagen, Marco Endrizzi, Alessia Atzeni, Alberto Astolfo, Michela Esposito, Olumide K. Ogunbiyi, Mark Turmaine, Elizabeth S. Smith, Silvia Cipiccia, Christoph Rau, Peng Li, Roberto Lutman, Giulia Selmin, Natalie Durkin, Soichi Shibuya, Marianna Scuglia, Marco Pellegrini, Paolo De Coppi, Alessandro Olivo:
Advanced x-ray imaging techniques in tissue engineering: a new construct assessment platform for enabling the regeneration of personalised organs. - Justin Namuk Kim, Juhwan Lee, Lia Gomez-Perez, Vladislav N. Zimin, Mohamed H. E. Makhlouf, Sadeer Al-Kindi, David L. Wilson:
Non-invasive coronary CT angiography identification of thin-cap fibroatheroma determined by intravascular optical coherence tomography. - Ammar Hoori, Tao Hu, Juhwan Lee, Sadeer Al-Kindi, Sanjay Rajagopalan, David L. Wilson:
An enriched survival study of epicardial adipose tissues risk on major adverse cardiovascular event in CT calcium score images. - Mohammad Hamghalam, Richard K. G. Do, Amber L. Simpson:
Attention-based CT scan interpolation for lesion segmentation of colorectal liver metastases. - Alex J. Allphin, Rohan Nadkarni, Darin P. Clark, Cristian T. Badea:
Ex vivo high-resolution hybrid micro-CT imaging using photon counting and energy integrating detectors. - Xi Ren, Luca Egoriti, Nolan Esplen, Stephanie Rädel, Brandon Humphries, Hui-Wen Koay, Thomas Planche, Cornelia Hoehr, Alexander Gottberg, Magdalena Bazalova-Carter, Nancy L. Ford:
Using in vivo respiratory-gated micro-computed tomography imaging to monitor pulmonary side effects in 10 MV FLASH and conventional radiotherapy. - Axel Wismüller, Jerome Avondo, Larry Stockmaster, Akhil Kasturi, M. Ali Vosoughi:
Tracking the impact of global iodinated contrast agent shortage on radiology: analysis of CT exam volumes at a major US healthcare.
Novel imaging Methods and Concepts II
- Zachary Szentimrey, Golafsoun Ameri, Rachel Y. K. Cheung, Ahmed Eltahawi, Eranga Ukwatta:
Automated segmentation and measurement of the levator hiatus in 3D transperineal ultrasound. - Yile Fang, Yibing Zhang, Michael C. Lun, Jeffrey N. Anker, Ge Wang, Changqing Li:
Development of fast and three-dimensional focused x-ray luminescence tomography system. - Hilde Jans, Cedric Pieters, Deep Bera, Grim Keulemans, Roelof Jansen, Veronique Rochus, Jon Ø. Kjellman, Hasan Md. Mahmud-Ul-Hasan, Xavier Rottenberg:
Photoacoustic imaging using an optomechanical ultrasound sensor for future applications in breast cancer imaging. - Randa Mudathir, Megan Hutter, Carla du Toit, Lori Gardi, Nina Suh, Emily Lalone, Aaron Fenster:
Assessing sex differences in joint kinematics and ligament recruitment in CMC-1 OA patients: a preliminary study. - Anton Orlichenko, Grant Daly, Jack W. Freeman, Yu-Ping Wang:
ImageNomer: developing an interactive graphical analysis tool for examining fMRI and omics data. - Gengxin Shi, Fernando J. Quevedo González, Ryan E. Breighneer, John A. Carrino, Jeffrey H. Siewerdsen, Wojciech Zbijewski:
Effects of non-stationary blur on texture biomarkers of bone using ultra-high resolution CT.
Neuroimaging
- R. White, Allison Shields, Swetadri Vasan Setlur Nagesh, E. Smith, Jason M. Davies, Daniel R. Bednarek, Stephen Rudin, Ciprian N. Ionita, V. Chivukula:
Investigating angiographic injection parameters for cerebral aneurysm hemodynamic characterization using patient-specific simulated angiograms. - Allen Hong, Aaron Carass, Lianrui Zuo, Jerry L. Prince, Ahmed Alshareef:
Investigating the effect of cerebral atrophy on brain deformation using subject-specific models. - Axel Wismüller, M. Ali Vosoughi, Akhil Kasturi, Nathan Hadjiyski:
Identification of schizophrenia patients using large-scale Extended Granger Causality (lsXGC) in functional MR imaging. - Axel Wismüller, M. Ali Vosoughi, Akhil Kasturi, Nathan Hadjiyski:
Large-scale Augmented Granger Causality (lsAGC) for discovery of causal brain connectivity networks in schizophrenia patients using functional MRI neuroimaging. - Axel Wismüller, M. Ali Vosoughi, Akhil Kasturi, Nathan Hadjiyski:
Large-Scale Granger Causality (lsGC) for classification of schizophrenia using functional MRI.
Poster Session
- Hui Wang, Jeffrey Solomon, Syed Reza, Hee-Jeong Yang, Ian Crozier, Philip J. Sayre, Winston T. Chu, Byeong-Yeul Lee, Venkatesh Mani, Thomas C. Friedrich, David H. O'Connor, Willem J. M. Mulder, Gabriella Worwa, Jens H. Kuhn, Claudia Calcagno, Marcelo Adrián Castro:
Determination of reproducible radiomic features for diagnosis of fatty liver disease in a crab-eating macaque model. - Chih-Wei Chang, Matt Goette, Nadja Kadom, Yinan Wang, Jacob F. Wynne, Tonghe Wang, Tian Liu, Natia Esiashvili, Jun Zhou, Bree R. Eaton, Xiaofeng Yang:
Quantification of radiation damage for proton craniospinal irradiation using magnetic resonance imaging. - Nattawut Sinsuebphon, Suphawat Laohawiriyakamol, Chalinee Thanasupsombat, Sorapong Aootaphao, Walita Narkbuakaew, Atthasak Kiang-ia, Tanapong Srivongsa, Puttisak Puttawibul, Pairash Thajchayapong, Saowapak Thongvigitmanee:
Breast tumor margin delineation with high-resolution cone-beam x-ray computed tomography. - Mingzhe Hu, Jing Wang, Chih-Wei Chang, Tian Liu, Xiaofeng Yang:
End-to-end brain tumor detection using a graph-feature-based classifier. - Matthew A. Wysocki, Scott Doyle:
Advancing finite element analysis of osteological structures in biomedical research. - Herng-Hua Chang, Shin-Joe Yeh, Yi-Ru Lin, Ming-Chang Chiang, Sung-Tsang Hsieh:
Automatic infarct segmentation in rat brain MR images after stroke using an adaptive deformable model. - Bernhard Scharinger, Antonio Pepe, Yuan Jin, Christina Gsaxner, Jianning Li, Jan Egger:
Multicenter aortic vessel tree extraction using deep learning. - Tyler Settle, Benjamin Veasey, Albert Seow, Amir A. Amini:
Performance of a bank of 2D efficient-nets for benign/malignant classification of lung nodules in 3D thoracic x-ray CT scans. - Amirkhosro Kazemi, Sean Callahan, Marcus F. Stoddard, Amir A. Amini:
Estimation of hemodynamic parameters with deep-learning-based super-resolved 4D flow MRI velocity data.
Digital poster Session
- Yoshiki Kawata, Hidenobu Suzuki, Yuji Matsumoto, Takaaki Tsuchida, Keiju Aokage, Genichiro Ishii, Masahiko Kusumoto, Noboru Niki:
Representation of thoracic N1 lymph nodes group in contrast-enhanced CT images using distance maps based on tracheobronchial labeling.
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