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

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.

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

Multimodal Image Exploitation and Learning 2021 ◽

10.1117/12.2587757 ◽

2021 ◽

Author(s):

Samir Benbelkacem ◽

Adel Oulefki ◽

Sos S. Agaian ◽

Thaweesak Trongtirakul ◽

Djamel Aouam ◽

...

Keyword(s):

Virtual Reality ◽

Ct Scan ◽

Lung Infection

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CT Scanning in Identification of Sheep Cystic Echinococcosis

BioMed Research International ◽

10.1155/2017/4639202 ◽

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.

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COVID-19 Lung Infection Segmentation

University of the Future: Re-Imagining Research and Higher Education ◽

10.29117/quarfe.2020.0294 ◽

2020 ◽

Cited By ~ 1

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.

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Pulmonary atelectasis during paediatric anaesthesia: CT scan evaluation and effect of positive endexpiratory pressure (PEEP)

Pediatric Anesthesia ◽

10.1046/j.1460-9584.1999.00340.x ◽

1999 ◽

Vol 9 (3) ◽

pp. 225-228 ◽

Cited By ~ 6

Author(s):

G Serafini ◽

G Cornara ◽

F Cavalloro ◽

A Mori ◽

R Dore ◽

...

Keyword(s):

Ct Scan ◽

Paediatric Anaesthesia ◽

Pulmonary Atelectasis ◽

Positive Endexpiratory Pressure

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

The Journal of Urology ◽

10.1016/s0022-5347(18)35718-5 ◽

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

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Synchronous celiac axis and superior mesenteric artery embolism

VASA ◽

10.1024/0301-1526/a000154 ◽

2011 ◽

Vol 40 (6) ◽

pp. 495-498 ◽

Cited By ~ 1

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 patients 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.

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Successful Endovascular Repair of a Leaking Abdominal Aortic Aneurysm under Local Anesthesia

Swiss Surgery ◽

10.1024/1023-9332.7.2.86 ◽

2001 ◽

Vol 7 (2) ◽

pp. 86-89 ◽

Cited By ~ 17

Author(s):

Lachat ◽

Pfammatter ◽

Bernard ◽

Jaggy ◽

Vogt ◽

...

Keyword(s):

Abdominal Aortic Aneurysm ◽

Aortic Aneurysm ◽

Ct Scan ◽

Local Anesthesia ◽

Endovascular Repair ◽

Anesthetic Management ◽

High Risk Patient ◽

Invasive Technique ◽

Chronic Obstructive ◽

Abdominal Aortic

Local anesthesia is a safe and less invasive anesthetic management for the endovascular approach to elective aortic aneurysm. We have successfully extended the indication of local anesthesia to a high-risk patient with leaking aneurysm and stable hemodynamics. Patient and methods: A 86 year old patient with renal insufficiency due to longstanding hypertension, coronary artery and chronic obstructive lung disease was transferred to our hospital with a leaking abdominal aortic aneurysm. Stable hemodynamics allowed to perform a fast CT scan, that confirmed the feasibility of endovascular repair. A bifurcated endograft (24mm x 12mm x 153mm) was implanted under local anesthesia. Results: The procedure was completed within 85 minutes without problems. The complete sealing of the aneurysm was confirmed by CT scan on the third postoperative day. Twenty months later, the patient is doing well and radiological control confirmed complete exclusion of the aneurysm. Discussion: The endoluminal treatment is a minimally invasive technique. It's feasibility can be rapidly assessed by CT scan. The transfemoral implantation can be performed under local anesthesia provided that hemodynamics are stable. This anesthetic management seems to be particularly advantageous for leaking abdominal aortic aneurysm since it doesn't change the hemodynamic situation in contrast to general anesthesia. Hemodynamic instability, abdominal distension or tenderness may indicate intraperitoneal rupture and conversion to open graft repair should be performed without delay.

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