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Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2021
- Barjor S. Gimi, Andrzej Król:
Medical Imaging 2021: Biomedical Applications in Molecular, Structural, and Functional Imaging, Online, February 15-20, 2021. SPIE Proceedings 11600, SPIE 2021, ISBN 9781510640290
Keynote
- Alexander Norbash:
Experimentation and Radiology by Design; Leading us to Quantification and Artificial Intelligence.
Neurological imaging I
- Jash Mirani, Nathaniel Fulmer, Md Asadullah Turja, Guorong Wu, Martin Styner:
Extra axial cerebrospinal fluid volume and a diagnosis of Alzheimer's disease. - Gopichandh Danala
, Masoom Desai, Sama Astani, Bahram Rabbani, Jorge G. Ortiz-Garcia, Bin Zheng:
An interactive computer-aided detection software tool for quantitative estimation of intracerebral hemorrhage. - Yang Lei
Deep learning-based denoising for magnetic resonance spectroscopy signals. - Tao Sun:
Peak-clearance-rate as index for detection of Alzheimer's disease using 11C-PiB PET imaging. - Axel Wismüller, Adora M. DSouza, M. Ali Vosoughi, Anas Z. Abidin:
Network connectivity analysis in complex systems using large-scale non-linear Granger causality (lsNGC).
Neurological imaging II
- Axel Wismüller, M. Ali Vosoughi:
Large-scale augmented Granger causality (lsAGC) for connectivity analysis in complex systems: from computer simulations to functional MRI (fMRI). - Luke Van Popering, Amirhessam Tahmassebi, Uwe Meyer-Baese, Martin Dyrba
Identifying the diffusion source of dementia spreading in structural brain networks. - Eric S. Harmon, Michael O. Thompson, Charles Ross Schmidtlein
Photopeak detection efficiency of thin LSO scintillators for positron emission tomography. - Danilo Pereira, Larissa Ganaha, Simone Appenzeller, Letícia Rittner
Open-source toolbox for analysis and spectra quality control of magnetic resonance spectroscopic imaging. - M. Ali Vosoughi, Axel Wismüller:
Large-scale extended Granger causality for classification of marijuana users from functional MRI.
Vascular and Pulmonary imaging
- Maksym Sharma, Andrew R. Westcott, David G. McCormack, Grace Parraga
Hyperpolarized gas magnetic resonance imaging texture analysis and machine learning to explain accelerated lung function decline in ex-smokers with and without COPD. - Marco Lai, Claudio Spiridione Dicorato, Marco de Wild, Frank Verbakel, Sergei Shulepov, Joanneke Groen, Marc Notten, Gerald Lucassen, Marc R. H. M. van Sambeek, Benno H. W. Hendriks, Peter H. N. de With:
Evaluation of a non-contact Photo-Plethysmographic Imaging (iPPG) system for peripheral arterial disease assessment. - Yoshiki Kawata, Noboru Niki, Masahiko Kusumoto, H. Ohamatsu, Keiju Aokage, Genichiro Ishii, Yuji Matsumoto, Takaaki Tsuchida, K. Eguchif, Masahiro Kaneko:
Representation of texture structures with topological data analysis for stage IA lung adenocarcinoma in three-dimensional thoracic CT images. - Alexander M. Matheson, Grace Parraga
A linear systems description of multi-compartment pulmonary 129Xe magnetic resonance imaging methods. - Matthew D. Holbrook, Darin P. Clark, R. Patel, Yi Qi, Yvonne M. Mowery, Cristian T. Badea
Towards deep learning detection of lung nodules using micro-CT. - Lipeng Xie, Jayaram K. Udupa, Yubing Tong, Drew A. Torigian, Zihan Huang, Rachel M. Kogan, Jennifer Ben Nathan, David Wootton, Kokren Choy, Sanghun Sin, Mark E. Wagshul, Raanan Arens:
Automatic upper airway segmentation in static and dynamic MRI via deep convolutional neural networks.
Innovations in Image Processing I
- Jared Vicory, David Allemang, Dzenan Zukic, Jack Prothero, Matthew McCormick, Beatriz Paniagua:
An open-source solution for shape modeling and analysis of objects of challenging topologies. - Jaryd R. Christie
A multi-modality radiomics-based model for predicting recurrence in non-small cell lung cancer. - Yang Lei
Mask R-CNN-based tumor localization and segmentation in 4D Lung CT. - Anderson Gabriel Santiago, Camila C. Santos, Maysa M. G. Macedo, Juliana K. M. B. Daguano
Non-destructive fibroblast NIH-3T3 spheroid classification using convolutional neural network. - Jenita Manokaran, Fatemeh Zabihollahy, Andrew Hamilton-Wright, Eran Ukwatta:
Deep learning-based detection of COVID-19 from chest x-ray images.
Innovations in Image Processing II
- Mahsa Amirrashedi
Standard-dose PET reconstruction from low-dose preclinical images using an adopted all convolutional U-Net. - Zachary Szentimrey, Sandrine de Ribaupierre, Aaron Fenster, Eranga Ukwatta:
Automatic deep learning-based segmentation of neonatal cerebral ventricles from 3D ultrasound images. - Tonghe Wang
Prostate and tumor segmentation on PET/CT using Dual Mask R-CNN. - Axel Wismüller, Larry Stockmaster, M. Ali Vosoughi:
Investigating Covid-19 pandemic-induced effects on detection of emergent clinical imaging findings by large-scale tracking of utilization and reading results for AI-based image analysis services. - Mahsa Torkaman, Jaewon Yang, Luyao Shi, Rui Wang, Edward J. Miller, Albert J. Sinusas, Chi Liu, Grant T. Gullberg, Youngho Seo:
Direct image-based attenuation correction using conditional generative adversarial network for SPECT myocardial perfusion imaging.
Cardiac imaging I
- Yingnan Song, Ammar Hoori
Improved reproducibility of CT calcium score using blind deconvolution. - Muneeza Azmat, Ethan Tu, Kelley R. Branch, Adam M. Alessio:
Machine learned versus analytical models for estimation of fractional flow reserve from CT-derived information. - Catharine V. Graves, Ramon Alfredo Moreno, Marina F. S. de Sá Rebelo, Adriano Bordignom, Cesar H. Nomura, Marco A. Gutierrez
Cardiac motion estimation using pyramid, warping, and cost volume neural network. - Ruponti Nath, Amirkhosro Kazemi
A 1D encoder-decoder deep network for pressure estimation from 4D flow MRI: in-vitro experiments. - Eric Paccione, Ciprian N. Ionita:
Challenges in hemodynamics assessment in complex neurovascular geometries using computational fluid dynamics and benchtop flow simulation in 3D printed patient-specific phantoms. - Michael Schmied, Antonio Pepe, Jan Egger:
A patch-based-approach for aortic landmarking.
Novel imaging Methods
- Charles Ross Schmidtlein
A deblurring/denoising corrected scintigraphic planar image reconstruction model for targeted alpha therapy. - Hassan S. Salehi, Majd Barchini, Qingguang Chen, Mina Mahdian:
Toward development of automated grading system for carious lesions classification using deep learning and OCT imaging. - Ignacio O. Romero, Yile Fang
Benchtop x-ray fluorescence computed tomography (XFCT) imaging.
Ocular and optical imaging
- Oscar Ramos-Soto
Inner limiting membrane segmentation and surface visualization method on retinal OCT images. - Saloni Jain, Vysakh Vasudevan
Automated detection of optical phantom layer thickness using image analysis. - Anoosha Venkatraman Hegde, N. Sujatha:
Differential imaging of dynamic scattering from laser speckle images for applications in perfusion monitoring. - Xianlin Song, Jianshuang Wei, Lingfang Song:
Simulation platform of large volumetric photoacoustic microscopy based on k-space pseudospectral method. - Lin Yin, Kun Wang, Jie Tian:
Gaussian weighted block sparse Bayesian learning strategy based on K-means clustering algorithm for accurate bioluminescence tomography in glioma. - Michael C. Lun, Yile Fang
Fast three-dimensional focused x-ray luminescence computed tomography.
Bone and skeletal imaging, Segmentation, Registration, Decision-Making
- Indranil Guha
Finite element modelling of trabecular bone microstructure using emerging CT images. - Diego Armando Cardona Cárdenas
Automated radiographic bone suppression with deep convolutional neural networks. - Pall Asgeir Bjornsson, Benedikt Helgason, Halldor Pálsson, Sigurður Sigurðsson, Vilmundur Gudnason, Lotta Maria Ellingsen:
Automated femur segmentation from computed tomography images using a deep neural network. - Indranil Guha
Unsupervised GAN-CIRCLE for high-resolution reconstruction of bone microstructure from low-resolution CT scans.
Cardiac imaging II and Nanoparticle imaging
- Allison Shields, Swetadri Vasan Setlur Nagesh, Ciprian N. Ionita, Daniel R. Bednarek, Stephen Rudin:
Characterization of velocity patterns produced by pulsatile and constant flows using 1000 fps high-speed angiography (HSA). - Amirkhosro Kazemi
4D flow MRI and CFD simulations of pulsatile flow in a phantom model of arterial stenosis: visualizing the vortex dynamics. - Ethan Tu, Muneeza Azmat, Kelley Branch, Adam M. Alessio:
Machine learned approach for estimating myocardial blood flow from dynamic CT and coronary artery disease risk factors.
Poster Session
- Yabo Fu, Yang Lei
A learning-based nonrigid MRI-CBCT image registration method for MRI-guided prostate cancer radiotherapy. - Tonghe Wang
4D cone-beam CT deformable registration using unsupervised spatial transformation network. - Tonghe Wang
Contrast-enhanced MRI synthesis from non-contrast MRI using attention CycleGAN. - Xianjin Dai, Yang Lei
Residual mask scoring regional convolutional neural network for multi-organ segmentation in head-and-neck CT. - Serge Brosset, Maxime Dumont, Lucia H. S. Cevidanes, Reza Soroushmehr, Jonas Bianchi
Web infrastructure for data management, storage and computation. - Zhiguo Zhou, Rongfang Wang, Jing Yang, Rongbin Xu, Jinkun Guo:
Multimodal weighted network for 3D brain tumor segmentation in MRI images. - Saptarashmi Bandyopadhyay, Vahid Daneshpajooh, Danish Ahmad
Blood vessel segmentation in narrow band imaging bronchoscopic video. - Haleh Akrami, Andrei Irimia, Wenhui Cui, Anand A. Joshi, Richard M. Leahy:
Prediction of posttraumatic epilepsy using machine learning. - Jiwoong Jason Jeong, Yang Lei
Post-op brain tumor bed detection and segmentation using 3D Mask R-CNN for dynamic magnetic resonance perfusion imaging. - Christian Gibas, Jonas Pöhler, Rainer Brück, Kristof Van Laerhoven:
Simulation and evaluation of imaging for electrical impedance tomography using artificial intelligence methods. - Kana Taniguchi, Naoki Sunaguchi, Shu Ichihara, Rieko Nishimura, Akari Iwakoshi, Daisuke Shimao, Tetsuya Yuasa, Masami Ando:
Three-dimensional visualization of ductal carcinoma in situ and usual ductal hyperplasia using the refraction-contrast x-ray computed tomography. - Kurumi Saito, Keisuke Fukuda, Yoshiki Kawata, Noboru Niki, Keiji Umetani, Yasutaka Nakano, Hiroaki Sakai, Toshihiro Okamoto:
Alveolar sac analysis of 3D human lung microstructure using synchrotron radiation micro-CT. - Anna R. Maeva, Adam P. Strange, Inna Seviaryna, Colin Hopper, Conal Perrett, Hugh Trahair, Oliver Devine, Arne Akbar:
Age-related changes in collagen mechanical properties detected by high-resolution acoustic microscopy and AFM. - Yuan Jin
Deep learning and particle filter-based aortic dissection vessel tree segmentation.
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