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Improved MR to CT synthesis for PET/MR attenuation correction using Imitation Learning [article]

Kerstin Kläser, Thomas Varsavsky, Pawel Markiewicz, Tom Vercauteren, David Atkinson, Kris Thielemans, Brian Hutton, M Jorge Cardoso, Sebastien Ourselin
2019 arXiv   pre-print
The ability to synthesise Computed Tomography images - commonly known as pseudo CT, or pCT - from MRI input data is commonly assessed using an intensity-wise similarity, such as an L2-norm between the  ...  The model is trained on a database of 400 paired MR/CT/PET image slices.  ...  This work also demonstrates that minimising a more suitable metric that indeed optimises for PET residuals (from CTs and pCTs) can improve the process of CT synthesis for PET/MR attenuation correction.  ... 
arXiv:1908.08431v2 fatcat:dko3tm5vpzeklakiisj6gumz7u

Imitation Learning for improved 3D PET/MR attenuation correction

Kerstin Kläser, Thomas Varsavsky, Pawel Markiewicz, Tom Vercauteren, Alexander Hammers, David Atkinson, Kris Thielemans, Brian Hutton, M. Jorge Cardoso, Sébastien Ourselin
2021 Medical Image Analysis  
However, when using the pCT as an attenuation map (μ-map) for PET reconstruction in Positron Emission Tomography Magnetic Resonance Imaging (PET/MRI) minimising the error between pCT and CT neglects the  ...  Quantitative results on a fully independent dataset of twenty-three 3D MR/CT/PET image pairs show that the network is able to synthesise more accurate pCTs.  ...  Acknowledgement The authors would like to thank Colm McGinnity and Siti Yaakub for their help collecting the independent dataset.  ... 
doi:10.1016/j.media.2021.102079 pmid:33951598 pmcid:PMC7611431 fatcat:pbcebpg44bdpnp3vfdwstvuddm

Medical Imaging Synthesis using Deep Learning and its Clinical Applications: A Review [article]

Tonghe Wang, Yang Lei, Yabo Fu, Walter J. Curran, Tian Liu, Xiaofeng Yang
2020 arXiv   pre-print
This paper reviewed the deep learning-based studies for medical imaging synthesis and its clinical application.  ...  Specifically, we summarized the recent developments of deep learning-based methods in inter- and intra-modality image synthesis by listing and highlighting the proposed methods, study designs and reported  ...  Therefore, MR-to-CT image synthesis could be used in PET/MR system for photon attenuation correction.  ... 
arXiv:2004.10322v1 fatcat:bkhct7wzjnfrrd4kwa4rqw6rbe

Applications of artificial intelligence in nuclear medicine image generation

Zhibiao Cheng, Junhai Wen, Gang Huang, Jianhua Yan
2021 Quantitative Imaging in Medicine and Surgery  
It can also be used for image generation to shorten the time of image acquisition, reduce the dose of injected tracer, and enhance image quality.  ...  information [CT or magnetic resonance imaging (MRI)].  ...  Nowadays, the segmentationbased method is the default AC method for the commercial PET/MR scanner.  ... 
doi:10.21037/qims-20-1078 pmid:34079744 pmcid:PMC8107336 fatcat:36vdnuatljbmzayjw3azmrtdee

Applications and limitations of machine learning in radiation oncology

Daniel Jarrett, Eleanor Stride, Katherine Vallis, Mark John Gooding
2019 British Journal of Radiology  
measures of correctness are not available.  ...  Machine learning approaches to problem-solving are growing rapidly within healthcare, and radiation oncology is no exception.  ...  Deep Mr to CT synthesis using upaired data. In Internation Workhop on Simulation and Synthesis in Medical Imaging 2017;: 14-23p.. 27.  ... 
doi:10.1259/bjr.20190001 pmid:31112393 pmcid:PMC6724618 fatcat:uxc3czcpifa4tero4azqntrzrq

Hardware Architectures for Real-Time Medical Imaging

Eduardo Alcaín, Pedro R. Fernández, Rubén Nieto, Antonio S. Montemayor, Jaime Vilas, Adrian Galiana-Bordera, Pedro Miguel Martinez-Girones, Carmen Prieto-de-la-Lastra, Borja Rodriguez-Vila, Marina Bonet, Cristina Rodriguez-Sanchez, Imene Yahyaoui (+4 others)
2021 Electronics  
The main purpose is to provide a general introduction to hardware acceleration techniques for medical imaging researchers and developers who need to accelerate their implementations.  ...  for medical image registration, storage, analysis, and processing.  ...  Martinez-Girones et al. recently showed how the use of DL architectures took around 90 h for training a DL model used for head and neck MR-based pseudo-CT synthesis, but around 1 min to reconstruct the  ... 
doi:10.3390/electronics10243118 fatcat:ek4yfnw23naijkmrzhqwf5olqe

ACNP 59th Annual Meeting: Poster Session III

2020 Neuropsychopharmacology  
learning.  ...  Diagnosis may be a key factor in discerning learning deficits to future stimuli.  ...  Imaging data acquisition High-resolution 3D T1-weighted structural images were acquired using a 3T GE Signa PET/MR scanner.  ... 
doi:10.1038/s41386-020-00892-5 pmid:33279936 pmcid:PMC7735201 fatcat:mip4ywutfnfwvmye4u65i6vgg4

Special/Poster Abstracts

2022
The average life expectancy of human beings has increased significantly over the past several decades due to the improved performance of medical equipment and the tremendous efforts of medical professionals  ...  to keep cancer and cardiovascular diseases at bay.  ...  The regional CL is required to assess the individual amyloid-beta accumulation pattern.  ... 
doi:10.18893/kakuigaku.59.s41 pmid:36002329 fatcat:vwq75w7n3rektgua5yy2v53dzm

Could Extracellular microRNAs act as a novel biomarkers of temporal lobe epilepsy?

Rana Raoof
2019
A detailed clinical history is the main tool used for diagnosis and classification; however, it is often incomplete and misleading.  ...  The first goal was to identify any difference in extracellular microRNA profiles between morning-afternoon and male-female samples and to confirm the stability of these molecules in plasma samples overtime  ...  Other functional neuroimaging techniques for example PET, MRS and single photon emission computed tomography (SPECT) are gaining more and more attention particularly for their pivotal role in the assessment  ... 
doi:10.25419/rcsi.10803005.v1 fatcat:zhrugd4fxzd5pd2e5zegzc5hs4