Picture the future: emerging imaging modalities

Lee, Jean S Z; Gleeson, Fergus

doi:10.7861/clinmedicine.14-6-s95

Cited by 3 publications

(1 citation statement)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…as well as nuclear imaging (e.g., single-photon-emission computed tomography (SPECT) and positron emission tomography (PET)). [43,[175][176][177][178] The information gained is not only beneficial for (early) diagnosis, but also to develop treatment options. In addition, these modalities are essential to understand the fate of novel imaging probes regarding their biodistribution, trafficking, and accumulation pattern in vivo.…”

Section: Radiolabeled Nanogelsmentioning

confidence: 99%

Exploring the Potential of Nanogels: From Drug Carriers to Radiopharmaceutical Agents

Kubeil,

Suzuki,

Casulli

et al. 2023

Adv Healthcare Materials

View full text Add to dashboard Cite

Nanogels open up access to a wide range of applications and offer among others hopeful approaches for use in the field of biomedicine. This review provides a brief overview of current developments of nanogels in general, particularly in the fields of drug delivery, therapeutic applications, tissue engineering and sensor systems. Specifically, cyclodextrin (CD)‐based nanogels are important because they have exceptional complexation properties and are highly biocompatible. Nanogels as a whole and CD‐based nanogels in particular can be customized in a wide range of sizes and equipped with a desired surface charge as well as containing additional molecules inside and outside, such as dyes, solubility‐mediating groups or even biological vector molecules for pharmaceutical targeting. Currently, biological investigations are mainly carried out in vitro, but more and more in vivo applications are gaining importance. Modern molecular imaging methods are increasingly being used for the latter. Due to an extremely high sensitivity and the possibility of obtaining quantitative data on pharmacokinetic and pharmacodynamic properties, nuclear methods such as single photon emission computed tomography (SPECT) and positron emission tomography (PET) using radiolabeled compounds are particularly suitable here. The use of radiolabeled nanogels for imaging, but also for therapy, is being discussed.This article is protected by copyright. All rights reserved

show abstract

Section: Radiolabeled Nanogelsmentioning

confidence: 99%

Exploring the Potential of Nanogels: From Drug Carriers to Radiopharmaceutical Agents

Kubeil,

Suzuki,

Casulli

et al. 2023

Adv Healthcare Materials

View full text Add to dashboard Cite

show abstract

Technological Advances in Diagnostic Imaging in Exotic Pet Medicine

Zoller

Hahn

Girolamo³

2019

Veterinary Clinics of North America: Exotic Animal Practice

View full text Add to dashboard Cite

Electrical impedance tomography image reconstruction for lung monitoring based on ensemble learning algorithms1

Al‐Bashir,

Al‐Bataiha,

Hafsa

et al. 2024

Healthcare Tech Letters

View full text Add to dashboard Cite

Electrical impedance tomography (EIT) is a promising non‐invasive imaging technique that visualizes the electrical conductivity of an anatomic structure to form based on measured boundary voltages. However, the EIT inverse problem for the image reconstruction is nonlinear and highly ill‐posed. Therefore, in this work, a simulated dataset that mimics the human thorax was generated with boundary voltages based on given conductivity distributions. To overcome the challenges of image reconstruction, an ensemble learning method was proposed. The ensemble method combines several convolutional neural network models, which are the simple Convolutional Neural Network (CNN) model, AlexNet, AlexNet with residual block, and the modified AlexNet model. The ensemble models’ weights selection was based on average technique giving the best coefficient of determination (R2 score). The reconstruction quality is quantitatively evaluated by calculating the root mean square error (RMSE), the coefficient of determination (R2 score), and the image correlation coefficient (ICC). The proposed method's best performance is an RMSE of 0.09404, an R2 score of 0.926186, and an ICC of 0.95783 using an ensemble model. The proposed method is promising as it can construct valuable images for clinical EIT applications and measurements compared to previous studies.

show abstract

Picture the future: emerging imaging modalities

Cited by 3 publications

References 27 publications

Exploring the Potential of Nanogels: From Drug Carriers to Radiopharmaceutical Agents

Exploring the Potential of Nanogels: From Drug Carriers to Radiopharmaceutical Agents

Technological Advances in Diagnostic Imaging in Exotic Pet Medicine

Electrical impedance tomography image reconstruction for lung monitoring based on ensemble learning algorithms1

Contact Info

Product

Resources

About