scholarly journals Advances in retinal imaging modalities: Challenges and opportunities

2016 ◽  
Vol 6 (2) ◽  
pp. 10 ◽  
Author(s):  
Muhammad Usman Saeed ◽  
Justyna Danuta Oleszczuk
Keyword(s):  
Retinal Imaging ◽  
Imaging Modalities ◽  
Challenges And Opportunities

scholarly journals Deep Ensemble Learning Based Objective Grading of Macular Edema by Extracting Clinically Significant Findings from Fused Retinal Imaging Modalities

Sensors ◽  
2019 ◽  
Vol 19 (13) ◽  
pp. 2970 ◽  
Author(s):  
Bilal Hassan ◽  
Taimur Hassan ◽  
Bo Li ◽  
Ramsha Ahmed ◽  
Omar Hassan
Keyword(s):  
Macular Edema ◽  
Ensemble Learning ◽  
Retinal Imaging ◽  
Imaging Modalities ◽  
Fundus Photography ◽  
Support Vector ◽  
Hard Exudates ◽  
Retinal Examination ◽  
Clinically Significant ◽  
Retinal Fundus

Macular edema (ME) is a retinal condition in which central vision of a patient is affected. ME leads to accumulation of fluid in the surrounding macular region resulting in a swollen macula. Optical coherence tomography (OCT) and the fundus photography are the two widely used retinal examination techniques that can effectively detect ME. Many researchers have utilized retinal fundus and OCT imaging for detecting ME. However, to the best of our knowledge, no work is found in the literature that fuses the findings from both retinal imaging modalities for the effective and more reliable diagnosis of ME. In this paper, we proposed an automated framework for the classification of ME and healthy eyes using retinal fundus and OCT scans. The proposed framework is based on deep ensemble learning where the input fundus and OCT scans are recognized through the deep convolutional neural network (CNN) and are processed accordingly. The processed scans are further passed to the second layer of the deep CNN model, which extracts the required feature descriptors from both images. The extracted descriptors are then concatenated together and are passed to the supervised hybrid classifier made through the ensemble of the artificial neural networks, support vector machines and naïve Bayes. The proposed framework has been trained on 73,791 retinal scans and is validated on 5100 scans of publicly available Zhang dataset and Rabbani dataset. The proposed framework achieved the accuracy of 94.33% for diagnosing ME and healthy subjects and achieved the mean dice coefficient of 0.9019 ± 0.04 for accurately extracting the retinal fluids, 0.7069 ± 0.11 for accurately extracting hard exudates and 0.8203 ± 0.03 for accurately extracting retinal blood vessels against the clinical markings.

scholarly journals Imaging Inflammation – From Whole Body Imaging to Cellular Resolution

2021 ◽  
Vol 12 ◽  
Author(s):  
Tuula Peñate Medina ◽  
Jan Philip Kolb ◽  
Gereon Hüttmann ◽  
Robert Huber ◽  
Oula Peñate Medina ◽  
...  
Keyword(s):  
Precision Medicine ◽  
Imaging Techniques ◽  
Point Of View ◽  
Imaging Modalities ◽  
Whole Body ◽  
Whole Body Imaging ◽  
New Concepts ◽  
Current Usage ◽  
Inflammation Imaging ◽  
Challenges And Opportunities

Imaging techniques have evolved impressively lately, allowing whole new concepts like multimodal imaging, personal medicine, theranostic therapies, and molecular imaging to increase general awareness of possiblities of imaging to medicine field. Here, we have collected the selected (3D) imaging modalities and evaluated the recent findings on preclinical and clinical inflammation imaging. The focus has been on the feasibility of imaging to aid in inflammation precision medicine, and the key challenges and opportunities of the imaging modalities are presented. Some examples of the current usage in clinics/close to clinics have been brought out as an example. This review evaluates the future prospects of the imaging technologies for clinical applications in precision medicine from the pre-clinical development point of view.

Membrane microdomains: lessons from microscopy

1995 ◽  
Vol 53 ◽  
pp. 776-777
Author(s):  
J.M. Robinson ◽  
J.M Oliver
Keyword(s):  
Spatial Distribution ◽  
Plasma Membrane ◽  
Epithelial Cells ◽  
Plasma Membranes ◽  
Cell Types ◽  
Imaging Modalities ◽  
Membrane Microdomains ◽  
Membrane Domains ◽  
Lateral Heterogeneity ◽  
Functional Importance

Specialized regions of plasma membranes displaying lateral heterogeneity are the focus of this Symposium. Specialized membrane domains are known for certain cell types such as differentiated epithelial cells where lateral heterogeneity in lipids and proteins exists between the apical and basolateral portions of the plasma membrane. Lateral heterogeneity and the presence of microdomains in membranes that are uniform in appearance have been more difficult to establish. Nonetheless a number of studies have provided evidence for membrane microdomains and indicated a functional importance for these structures.This symposium will focus on the use of various imaging modalities and related approaches to define membrane microdomains in a number of cell types. The importance of existing as well as emerging imaging technologies for use in the elucidation of membrane microdomains will be highlighted. The organization of membrane microdomains in terms of dimensions and spatial distribution is of considerable interest and will be addressed in this Symposium.

Continuous hydrogenolysis of acetal-stabilized lignin in flow

2021 ◽  
Author(s):  
Wu Lan ◽  
Yuan Peng Du ◽  
Songlan Sun ◽  
Jean Behaghel de Bueren ◽  
Florent Héroguel ◽  
...  
Keyword(s):  
Steady State ◽  
Challenges And Opportunities

We performed a steady state high-yielding depolymerization of soluble acetal-stabilized lignin in flow, which offered a window into challenges and opportunities that will be faced when continuously processing this feedstock.

Imaging Modalities for the Study of the Temporal Bone

1988 ◽  
Vol 21 (2) ◽  
pp. 219-244
Author(s):  
Anton N. Hasso ◽  
John A. Ledington
Keyword(s):  
Temporal Bone ◽  
Imaging Modalities

State-of-the-art pulmonary arterial imaging – Part 2

VASA ◽  
2018 ◽  
Vol 47 (5) ◽  
pp. 361-375 ◽  
Author(s):  
Harold Goerne ◽  
Abhishek Chaturvedi ◽  
Sasan Partovi ◽  
Prabhakar Rajiah
Keyword(s):  
Pulmonary Artery ◽  
State Of The Art ◽  
Therapy Monitoring ◽  
Pulmonary Arteries ◽  
Imaging Modalities ◽  
Cross Sectional ◽  
Multiple Imaging ◽  
Cross Sectional Imaging ◽  
Pulmonary Arterial ◽  
Arterial Imaging

Abstract. Although pulmonary embolism is the most common abnormality of the pulmonary artery, there is a broad spectrum of other congenital and acquired pulmonary arterial abnormalities. Multiple imaging modalities are now available to evaluate these abnormalities of the pulmonary arteries. CT and MRI are the most commonly used cross-sectional imaging modalities that provide comprehensive information on several aspects of these abnormalities, including morphology, function, risk-stratification and therapy-monitoring. In this article, we review the role of state-of-the-art pulmonary arterial imaging in the evaluation of non-thromboembolic disorders of pulmonary artery.

State-of-the-art pulmonary arterial imaging – Part 1

VASA ◽  
2018 ◽  
Vol 47 (5) ◽  
pp. 345-359 ◽  
Author(s):  
Yuki Tanabe ◽  
Luis Landeras ◽  
Abed Ghandour ◽  
Sasan Partovi ◽  
Prabhakar Rajiah
Keyword(s):  
State Of The Art ◽  
Pulmonary Arteries ◽  
Pulmonary Angiography ◽  
Imaging Modalities ◽  
Nuclear Medicine Imaging ◽  
Multiple State ◽  
Pulmonary Arterial ◽  
Magnetic Resonance Imaging Mri ◽  
Acquired Abnormalities ◽  
Arterial Imaging

Abstract. The pulmonary arteries are affected by a variety of congenital and acquired abnormalities. Multiple state-of-the art imaging modalities are available to evaluate these pulmonary arterial abnormalities, including computed tomography (CT), magnetic resonance imaging (MRI), echocardiography, nuclear medicine imaging and catheter pulmonary angiography. In part one of this two-part series on state-of-the art pulmonary arterial imaging, we review these imaging modalities, focusing particularly on CT and MRI. We also review the utility of these imaging modalities in the evaluation of pulmonary thromboembolism.

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