Lung infection region quantification, recognition, and virtual reality rendering of CT scan of COVID-19

2021 ◽  
Author(s):  
Samir Benbelkacem ◽  
Adel Oulefki ◽  
Sos S. Agaian ◽  
Thaweesak Trongtirakul ◽  
Djamel Aouam ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Ct Scan ◽  
Lung Infection

scholarly journals Precise Prediction of COVID-19 in Chest X-Ray Images Using KE Sieve Algorithm

2020 ◽  
Author(s):  
S Sai Thejeshwar ◽  
Chaitanya Chokkareddy ◽  
K Eswaran
Keyword(s):  
Ct Scan ◽  
Network Architecture ◽  
Intelligent Systems ◽  
Imaging Techniques ◽  
Health Care Systems ◽  
Prediction Method ◽  
Lung Infection ◽  
Disease Diagnosis ◽  
X Ray ◽  
Chest X Ray

The novel coronavirus (COVID-19) pandemic is pressurizing the healthcare systems across the globe and few of them are on the verge of failing. The detection of this virus as early as possible will help in contaminating the spread of it as the virus is mutating itself as fast as possible and currently there are about 4,300 strains of the virus according to the reports. Clinical studies have shown that most of the COVID-19 patients suffer from a lung infection similar to influenza. So, it is possible to diagnose lung infection using imaging techniques. Although a chest computed tomography (CT) scan has been shown to be an effective imaging technique for lung-related disease diagnosis, chest X-ray is more widely available across the hospitals due to its considerably lower cost and faster imaging time than CT scan. The advancements in the area of machine learning and pattern recognition has resulted in intelligent systems that analyze CT Scans or X-ray images and classify between pneumonia and normal patients. This paper proposes KE Sieve Neural Network architecture, which helps in the rapid diagnosis of COVID-19 using chest X-ray images. This architecture is achieving an accuracy of 98.49%. This noninvasive prediction method can assist the doctors in this pandemic and reduce the stress on health care systems.

scholarly journals CT Scanning in Identification of Sheep Cystic Echinococcosis

2017 ◽  
Vol 2017 ◽  
pp. 1-6
Author(s):  
Rui Mao ◽  
Hongzhi Qi ◽  
Lei Pei ◽  
Jie Hao ◽  
Jian Dong ◽  
...  
Keyword(s):  
Ct Scan ◽  
Cystic Echinococcosis ◽  
Ct Scanning ◽  
Lung Infection ◽  
Liver Cyst ◽  
Hydatid Cysts ◽  
Liver Cysts ◽  
Lung Cysts ◽  
Suitable Tool ◽  
Cystic Hydatid

Objective. We aim to determine the efficiency of CT in identification of cystic echinococcosis in sheep. Methods. Fifty-three sheep with liver cysts confirmed by ultrasonography were subject to CT scan to evaluate the number, size, and type of the cysts in liver and lung, confirmed using necropsy. The correlation of numbers between liver cysts and lung cysts was calculated using Pearson analysis. Results. Necropsy indicated a 98% consensus on size, location, number, and activity compared with CT scan. The viable cysts were 53.1% and 50.6% in the liver and lung, respectively. Among the cysts in liver, 35.5%, 9.5%, 5.7%, 10.2%, and 39.1% were Types CE1, CE2, CE3, CE4, and CE5, respectively. The cysts in the lungs, 17.4%, 26.9%, 12.1%, 11.6%, and 32.1%, were Types CE1, CE2, CE3, CE4, and CE5, respectively. A significant correlation was noticed between the number of cysts in liver and those in lung (R=0.770, P<0.001). Conclusions. CT scan is a suitable tool in determining the size and type of cystic hydatid cysts in both liver and lung of sheep. A significant correlation was noticed between the numbers in liver and lung, indicating that lung infection was likely due to the expansion of liver cyst burden pressure.

Automatic Lung Infection Segmentation of Covid-19 in CT Scan Images

2021 ◽  
pp. 235-253
Author(s):  
Mohsen Karimi ◽  
Majid Harouni ◽  
Afrooz Nasr ◽  
Nakisa Tavakoli
Keyword(s):  
Ct Scan ◽  
Lung Infection

scholarly journals COVID-19 Lung Infection Segmentation

2020 ◽  
Author(s):  
Omar Elharrouss ◽  
Nandhini Subramanian ◽  
Noor Almaadeed ◽  
Somaya Al-Maadeed
Keyword(s):  
Artificial Intelligence ◽  
Computer Vision ◽  
Ct Scan ◽  
Incubation Time ◽  
Lung Infection ◽  
X Ray ◽  
Resources And Capabilities

The novelty of the COVID-19 Disease and the speed of spread, that created a colossal chaos, and impulse in the worldwide researchers to exploit all resources and capabilities to understand and analyze characteristics of the Coronavirus in terms of spread and virus incubation time. For that, the existing medical features like CT and X-ray images are used. For example, CT-scan images can be used for the detection of lung infection. But the challenges of these features such as the quality of the image and infection characteristics limit the effectiveness of these features. Using artificial intelligence (AI) tools and computer vision algorithms, the accuracy of detection can be more accurate and can help to overcome these issues. This poster proposes a multi-task deeplearning-based method for lung infection segmentation using CT-scan image.

1596: Lymph Node Staging in Prostate Cancer by the use of 11C-CHOLIN-PET/CT Scan Imaging

2005 ◽  
Vol 173 (4S) ◽  
pp. 432-432
Author(s):  
Georg C. Bartsch ◽  
Norbert Blumstein ◽  
Ludwig J. Rinnab ◽  
Richard E. Hautmann ◽  
Peter M. Messer ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Lymph Node ◽  
Ct Scan ◽  
Lymph Node Staging ◽  
Pet Ct ◽  
Pet Ct Scan

Synchronous celiac axis and superior mesenteric artery embolism

VASA ◽  
2011 ◽  
Vol 40 (6) ◽  
pp. 495-498 ◽  
Author(s):  
Rajkovic ◽  
Zelic ◽  
Papes ◽  
Cizmek ◽  
Arslani
Keyword(s):  
Atrial Fibrillation ◽  
Small Intestine ◽  
Abdominal Pain ◽  
Ct Scan ◽  
Superior Mesenteric Artery ◽  
Mesenteric Artery ◽  
Abdominal Cavity ◽  
Celiac Axis ◽  
Contrast Administration ◽  
Artery Embolism

We present a case of combined celiac axis and superior mesenteric artery embolism in a 70-year-old patient that was examined in emergency department for atrial fibrillation and diffuse abdominal pain. Standard abdominal x-ray showed air in the portal vein. CT scan with contrast showed air in the lumen of the stomach and small intestine, bowel distension with wall thickening, and a free gallstone in the abdominal cavity. Massive embolism of both celiac axis and superior mesenteric artery was seen after contrast administration. On laparotomy, complete necrosis of the liver, spleen, stomach and small intestine was found. Gallbladder was gangrenous and perforated, and the gallstone had migrated into the abdominal cavity. We found free air that crackled on palpation of the veins of the gastric surface. The patient’s condition was incurable and she died of multiple organ failure a few hours after surgery. Acute visceral thromboembolism should always be excluded first if a combination of atrial fibrillation and abdominal pain exists. Determining the serum levels of d-dimers and lactate, combined with CT scan with contrast administration can, in most cases, confirm the diagnosis and lead to faster surgical intervention. It is crucial to act early on clinical suspicion and not to wait for the development of hard evidence.

Top-Down Processing and Visual Reorientation Illusions in a Virtual Reality Environment

2004 ◽  
Vol 63 (3) ◽  
pp. 143-149 ◽  
Author(s):  
Fred W. Mast ◽  
Charles M. Oman
Keyword(s):  
Virtual Reality ◽  
Visual Processing ◽  
Line Length ◽  
Perceptual Cues ◽  
Virtual Reality Environment ◽  
Top Down ◽  
Test Conditions ◽  
The Subject ◽  
Processing Mechanisms

The role of top-down processing on the horizontal-vertical line length illusion was examined by means of an ambiguous room with dual visual verticals. In one of the test conditions, the subjects were cued to one of the two verticals and were instructed to cognitively reassign the apparent vertical to the cued orientation. When they have mentally adjusted their perception, two lines in a plus sign configuration appeared and the subjects had to evaluate which line was longer. The results showed that the line length appeared longer when it was aligned with the direction of the vertical currently perceived by the subject. This study provides a demonstration that top-down processing influences lower level visual processing mechanisms. In another test condition, the subjects had all perceptual cues available and the influence was even stronger.

Laparoscopic Cholecystectomy

Swiss Surgery ◽  
2002 ◽  
Vol 8 (6) ◽  
pp. 250-254
Author(s):  
Vogelbach ◽  
Bogdan ◽  
Rosenthal ◽  
Pfefferkorn ◽  
Triponez
Keyword(s):  
Virtual Reality ◽  
Laparoscopic Cholecystectomy ◽  
Neue Technik

Fragestellung: Die dieser Untersuchung zugrunde liegende Frage war, ob das angewandte Ausbildungskonzept geeignet war, um am Beispiel der Einführung der laparoskopischen Cholezystektomie eine neue Operationsmethode in einer universitären Ausbildungsklinik mit einer grossen Anzahl Chirurgen zu etablieren. Patienten und Methodik: Seit Einführung der ersten laparoskopischen Cholezystektomie wurden alle Cholezystektomien während zwei Jahren (Mai 1990 bis Mai 1992) prospektiv erfasst. Ein Ausbildungskonzept wurde gewählt, bei dem jeweils ein Operateur durch einen Tutor geschult wurde und so 15 konsekutive Eingriffe durchführte, um dann die Technik einem weiteren auszubildenden Chirurgen zu instruieren. Resultate: In zwei Jahren wurden 355 Patienten cholezystektomiert. 60% der Operationen wurden laparoskopisch durchgeführt oder begonnen. 40% der Operationen wurden offen durchgeführt. In den ersten zwei Jahren konnten 13 Operateure (durchschnittlich 16 Operationen / Operateur , range 1 - 60) in die neue Technik eingeführt werden. Es traten keine schweren Komplikationen, insbesondere keine Gallenwegsverletzungen in dieser Einführungsphase auf. Diskussion: In der Literatur wird dieses Vorgehen bei der Einführungsphase seit 1992 wiederholt vorgestellt, diskutiert und empfohlen. Zwischenzeitlich gibt es Richtlinien von Fachgesellschaften und nationalen Institutionen, welche die Ausbildung zur Ausführung neuer chirurgischer Techniken reglementieren. In den letzten Jahren verlagern sich die ersten Ausbildungsschritte in Richtung Trainingskurse an skill-stations und virtual reality Trainer. Schlussfolgerung: Das beschriebene Ausbildungskonzept bewährte sich in der Einführungsphase der laparoskopischen Cholezystektomie zu Beginn der 90er-Jahre.

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