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q-Space Deep Learning for Twelve-Fold Shorter and Model-Free Diffusion MRI Scans [chapter]

Vladimir Golkov, Alexey Dosovitskiy, Philipp Sämann, Jonathan I. Sperl, Tim Sprenger, Michael Czisch, Marion I. Menzel, Pedro A. Gómez, Axel Haase, Thomas Brox, Daniel Cremers
2015 Lecture Notes in Computer Science  
This method allows obtaining scalar measures from advanced models at twelve-fold reduced scan time and detecting abnormalities without using diffusion models.  ...  This leads to high scan costs and makes advanced diffusion models such as diffusion kurtosis imaging (DKI) and neurite orientation dispersion and density imaging (NODDI) inapplicable for children and adults  ...  Pölsterl and B. Menze (TU München) for discussions. V. Golkov is supported by the Deutsche Telekom Foundation.  ... 
doi:10.1007/978-3-319-24553-9_5 fatcat:q6k5nzqnkrgptge3dykmg72mfe

Deep Learning Based Pain Treatment

Tarun Jaiswal, Sushma Jaiswal
2019 International Journal of Trend in Scientific Research and Development  
Among machine learning methods, a subset has so far been applied to pain research-related problems, SVMs, regression models, deep learning and several kinds of neural networks so far most often revealed  ...  Indeed, the application of machine learning for pain investigationassociated non-imaging problems has been mentioned in publications in scientific journals since 1940-2018.  ...  This modification allows obtaining scalar measures from advanced models at twelve-fold reduced scan time and detecting abnormalities without using diffusion models.  ... 
doi:10.31142/ijtsrd23639 fatcat:tqg4u3tkgjhmjpya67g3lnewwu

2014 Biennial Meeting of the American Society for Stereotactic and Functional Neurosurgery. Washington, D.C., USA, May 31-June 3, 2014: Abstracts

2014 Stereotactic and Functional Neurosurgery  
with the MRI scan.  ...  Methods Seventeen candidates for DBS surgery were scanned preoperatively on standard clinical 1.5T and 7T MRI systems.  ... 
doi:10.1159/000363530 pmid:24902536 fatcat:f3ptvsfgnfat7osvq5gugpk4gq

CARS 2020—Computer Assisted Radiology and Surgery Proceedings of the 34th International Congress and Exhibition, Munich, Germany, June 23–27, 2020

2020 International Journal of Computer Assisted Radiology and Surgery  
The traditional platforms of CARS Congresses for the scholarly publication and communication process for the presentation of R&D ideas were congress centers or hotels, typically hosting 600-800 participants  ...  Aiming to stimulate complimentary thoughts and actions on what is being presented at CARS, implies a number of enabling variables for optimal analogue scholarly communication, such as (examples given are  ...  Kimura and Dr. Nagaoka (BOST, Kindai University) for their technical assistance. The work is supported by a grant-in-aid for scientific research on innovative areas, JSPS KAKENHI 17K17680.  ... 
doi:10.1007/s11548-020-02171-6 pmid:32514840 fatcat:lyhdb2zfpjcqbf4mmbunddwroq

2006 Biennial Meeting of the American Society for Stereotactic and Functional Neurosurgery. Boston, Mass., June 1–4, 2006

2006 Stereotactic and Functional Neurosurgery  
Parametric analysis of learning was estimated by using the state-space model, and the rate of learning (SI) calculated by fitting the learning curves to a logistic equation.  ...  Ten patients were treated with MRI scan guided stereotactic frame based surgical resection. Twelve patients were treated with MRI-scan guided frameless neuronavigation systems.  ...  Conclusions: The MRI-based frameless technique is a simple, fast, cost-effective, and precise method for target coordinates acquisition.  ... 
doi:10.1159/000097756 fatcat:g4hd2dulcbf5pgylow74icmsxy

Proceedings of the World Molecular Imaging Congress 2021, October 5-8, 2021: General Abstracts

2022 Molecular Imaging and Biology  
The uncertainty caused in the system was modeled as an iterative deconvolution with resolution subsets to denoise and enhance image resolution.  ...  Materials and Methods: The method was tested on ACR MRI phantom and DICOM clinical MRI data. Data acquisition was performed on a commercial Siemens MRI system.  ...  We also thank Glenn Fulbright for isotope production and Katie Strychalski for technical support. and U01CA210170 . We thank Dr. Karen Horton for her support. AuNCs (Fig. 1b-c ).  ... 
doi:10.1007/s11307-021-01693-y pmid:34982365 pmcid:PMC8725635 fatcat:4sfb3isoyfdhfbiwxfr55gvqym

MRI-Guided Focused Ultrasound Surgery

Ferenc A. Jolesz
2009 Annual Review of Medicine  
Reasonable efforts have been made to publish reliable data and information, but the author and the publisher cannot assume responsibility for the validity of all materials or for the consequence of their  ...  Reprinted material is quoted with permission, and sources are indicated. A wide variety of references are listed.  ...  Support by the Conseil Régional d'Aquitaine, Ligue National Contre le Cancer, Imagerie du Petit Animal and Philips Medical Systems is gratefully acknowledged.  ... 
doi:10.1146/annurev.med.60.041707.170303 pmid:19630579 pmcid:PMC4005559 fatcat:7ojh6xtfc5ckvloxhnfb5dxtmi

Developing Techniques for Quantitative Renal Magnetic Resonance Imaging

Alexander Daniel, Susan Francis
2021 Zenodo  
This is done without the need for ionising radiation and often without exogenous contrast agents, thus making MRI an ideal tool for both clinical and research use.  ...  Finally, quantitative renal mapping methods are developed for an ex-vivo renal MRI protocol to enable future correlation wi [...]  ...  Deep learning is a class of machine learning algorithms that can model high-level information in an image using several processing layers of transformations.  ... 
doi:10.5281/zenodo.5524888 fatcat:ba4f7zyabfckjlbtdyi6p5u3oy

SPR 2020

2020 Pediatric Radiology  
Conclusions: We successfully applied deep learning networks trained on unstructured free-text; our methodology exhibited high accuracy and ROC-AUC for abuse classification.  ...  Kappa value for agreement between the best deep learning model, consensus rating of three technologists, and consensus rating of three radiologists to the ground truth were 0.69, 0.49 and 0.66, respectively  ...  A Comparison of Radiograph and MRI Predictive Value Haitham Awdeh, Haitham.K.Awdeh@uth.tmc.edu; Andrew J. Bosserman, Michael Q.  ... 
doi:10.1007/s00247-020-04679-0 pmid:32435980 fatcat:y6da6d4blvaxlkus6w6zahpwlu

ECR 2011 Book of Abstracts - B - Scientific Sessions

2011 Insights into Imaging  
Methods and Materials: Thirty-one biopsy-proven HCCs (diameter, 1-3 cm) in 18 consecutive cirrhotic patients (12 males and 6 females; age: 50±13 years) scanned by multiphase contrast-enhanced 64-row multidetector  ...  and hypervascular on MR.  ...  B-387 11:24 Quantification of liver fibrosis using diffusion-weighted MR imaging and proton MR spectroscopy in experimental rabbit models Q. Wang, C. Liang, H.  ... 
doi:10.1007/s13244-011-0077-4 pmid:23100071 pmcid:PMC3533624 fatcat:lytbu2vohbhhnorjqlpogl77iu

Abstracts

2019 Stereotactic and Functional Neurosurgery  
Objectives: This was an open-label, phase I clinical trial to evaluate efficacy and safety of bilateral caudate nucleus neuromodulation by deep brain stimulation (DBS) for adults with chronic tinnitus  ...  The secondary outcome for efficacy was the Tinnitus Handicap Inventory (THI), neuropsychiatric safety was the Frontal Systems Behavior Scale (FrSBe), and hearing safety was pure tone audiometry and word  ...  Pre-op MRI scans and post-op CT scans were co-registered and normalized to MNI space. The volume of activated tissue (VAT) was generated for each electrode contact at different voltages (1V to 5V).  ... 
doi:10.1159/000501568 fatcat:pv2k5hzuindpdmffhvqlkl25ji

Brain PET Poster Sessions PP01-M01 to PP02-N07

2019 Journal of Cerebral Blood Flow and Metabolism  
Highthroughput rat brain PET imaging and automatic spatial normalization of the dopamine D2/3 receptor ligand [F-18]fallypride.  ...  Salinas for technical support in radiosynthesis and technical assistance in the PET studies. This study was funded by MINECO SAF2014-54070-JIN.  ...  Acknowledgements Funding from ANR CYCLOPS (ANR-15-CE17-0020) and RHU MARVELOUS (ANR-16-RHUS-0009)  ... 
doi:10.1177/0271678x19851018 pmid:31265793 pmcid:PMC6610575 fatcat:auejdo6e3rb2pjtxgqq6rkm7ie

Athletic injuries of the extensor carpi ulnaris subsheath: MRI findings and utility of gadolinium-enhanced fat-saturated T1-weighted sequences with wrist pronation and supination

Jeremy Jeantroux, Fabio Becce, Henri Guerini, Bernard Montalvan, Dominique Le Viet, Jean-Luc Drapé
2010 European Radiology  
B-386 B-387 11:24 Quantification of liver fibrosis using diffusion-weighted MR imaging and proton MR spectroscopy in experimental rabbit models Q. Wang, C. Liang, H.  ...  However, infiltration of the paraglottic spaces was observed more frequently on MRI (81% vs 52%), p < 0.05. Twelve tumor specimens were classified as T2 (36%), 18 as T3 (53%) and 4 as T4 (11%).  ...  Conclusion: Free-breathing DCE-MRI with radial k-space sampling and KWIC reconstruction is feasible for perfusion analysis of tumour in the abdomen and thorax.  ... 
doi:10.1007/s00330-010-1887-3 pmid:20680292 fatcat:c73xl4gmnjbp5hahuek6dg2pcu

Poster Viewing Session III

2017 Journal of Cerebral Blood Flow and Metabolism  
All of the participants were scanned after rest and MICT, and twelve of them additionally after HIIT.  ...  Identification and characterization of spontaneous cerebral vasculopathy in the sickle cell mouse model is a necessary step for progress in the development of preventative strategies for stroke and other  ...  Acknowledgement: This research has been funded by Acknowledgements: T.Hollyer is grateful the financial and technical support for this project from SINAPSE, ReNeuron, and The University of Glasgow  ... 
doi:10.1177/0271678x17695987 pmid:28366135 pmcid:PMC5441165 fatcat:m4mfdovmpzasbh5brx26kp4ho4

A combined local and global motion estimation and compensation method for cardiac CT

Qiulin Tang, Beshan Chiang, Akinola Akinyemi, Alexander Zamyatin, Bibo Shi, Satoru Nakanishi, Bruce R. Whiting, Christoph Hoeschen
2014 Medical Imaging 2014: Physics of Medical Imaging  
This model, which we term as the ``dual-spherical" model, requires estimation of two functions on the sphere to completely (and continuously) model the entire q-space diffusion signal.  ...  Thus, an extensive sampling of the q-space is not required to compute the diffusion propagator.  ...  We report a label-free (i.e. no chemical de-waxing, or staining) method of imaging large pieces of prostate tissue (typically 1 cm ?  ... 
doi:10.1117/12.2043492 fatcat:fyzpc5m6jbh7fjohqpdmtzkhte
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