scholarly journals Morphometric Analysis of Celiac Mesenteric Trunk in Computed Tomography Images and a Review of the Literature

2021 ◽  
Vol 9 (1) ◽  
pp. 72-79
Author(s):  
Hadi SASANI
Keyword(s):  
Computed Tomography ◽  
Morphometric Analysis ◽  
Review Of The Literature ◽  
Computed Tomography Images

scholarly journals Morphometric Analysis of the Clavicles in Chinese Population

2017 ◽  
Vol 2017 ◽  
pp. 1-5 ◽  
Author(s):  
Jesse Chieh-Szu Yang ◽  
Kun-Jhih Lin ◽  
Hung-Wen Wei ◽  
Cheng-Lun Tsai ◽  
Kang-Ping Lin ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Morphometric Analysis ◽  
Chinese Population ◽  
Positive Relationship ◽  
Complex Geometry ◽  
Plate Fixation ◽  
Lateral Part ◽  
Computed Tomography Images ◽  
Plate Design ◽  
Anatomical Parameters

The clavicle has a complex geometry that makes plate fixation technically difficult. The current study aims to measure the anatomical parameters of Chinese clavicles as reference for plate design. One hundred clavicles were analyzed. The clavicle bone model was reconstructed by using computed tomography images. The length, diameters, and curvatures of the clavicle were then measured. The female clavicle was shorter, more slender, and less curved in lateral part than the male clavicle. There was a positive relationship between height and clavicle parameters except lateral curve and depth. The measurements of Chinese clavicles were generally smaller than Caucasians. The clavicle curves were correlated with the bone length; thus consideration of the curve variations may be necessary as designing size distribution of clavicle plate.

scholarly journals A Literature Review: Detection of COVID-19 in Computed Tomography Images Using Deep Learning

2021 ◽  
Author(s):  
Júlio V. M. Marques ◽  
Rodrigo M. S. Veras ◽  
Romuere R. V. Silva
Keyword(s):  
Computed Tomography ◽  
Deep Learning ◽  
Literature Review ◽  
Theoretical Basis ◽  
Medical Image ◽  
Level Of Detail ◽  
Review Of The Literature ◽  
Manual Work ◽  
Computed Tomography Images ◽  
Learning Techniques

Through the development of the COVID-19 disease, various diagnosis methods have been studied. One of them is the computed tomography (CT), which has the best level of detail among medical image exams. The CT generates a repeatable and tiring workload, in addition to needing a team that is familiar with the findings that indicate pneumonia caused by COVID-19. To reduce this manual work and collaborate with these teams, several studies have been carried out using deep learning techniques. In this way, this study presents a review of the literature regarding the detection of COVID-19 in CT that uses deep learning to collaborate with a theoretical basis for future works.

An Optimization of System for Automatic Recognition of Ischemic Stroke Areas in Computed Tomography Images

Informatica ◽  
2007 ◽  
Vol 18 (4) ◽  
pp. 603-614
Author(s):  
Darius Grigaitis ◽  
Vaida Bartkutė ◽  
Leonidas Sakalauskas
Keyword(s):  
Computed Tomography ◽  
Ischemic Stroke ◽  
Automatic Recognition ◽  
Computed Tomography Images

scholarly journals Free-form tumor synthesis in computed tomography images via richer generative adversarial network

2021 ◽  
Vol 218 ◽  
pp. 106753
Author(s):  
Qiangguo Jin ◽  
Hui Cui ◽  
Changming Sun ◽  
Zhaopeng Meng ◽  
Ran Su
Keyword(s):  
Computed Tomography ◽  
Free Form ◽  
Generative Adversarial Network ◽  
Adversarial Network ◽  
Computed Tomography Images

scholarly journals Metal artifact reduction in computed tomography images based on developed generative adversarial neural network

2021 ◽  
Vol 24 ◽  
pp. 100573
Author(s):  
Goli Khaleghi ◽  
Mohammad Hosntalab ◽  
Mahdi Sadeghi ◽  
Reza Reiazi ◽  
Seied Rabi Mahdavi
Keyword(s):  
Neural Network ◽  
Computed Tomography ◽  
Artifact Reduction ◽  
Metal Artifact ◽  
Metal Artifact Reduction ◽  
Computed Tomography Images

scholarly journals Immersive 3D virtual reality imaging in planning minimally invasive and complex adult cardiac surgery

2020 ◽  
Vol 1 (1) ◽  
pp. 62-70
Author(s):  
Amir H Sadeghi ◽  
Wouter Bakhuis ◽  
Frank Van Schaagen ◽  
Frans B S Oei ◽  
Jos A Bekkers ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Virtual Reality ◽  
Cardiac Surgery ◽  
Heart Surgery ◽  
Preoperative Planning ◽  
Operating Time ◽  
Three Dimensional ◽  
Cardiothoracic Surgery ◽  
Planning Tool ◽  
Computed Tomography Images

Abstract Aims Increased complexity in cardiac surgery over the last decades necessitates more precise preoperative planning to minimize operating time, to limit the risk of complications during surgery and to aim for the best possible patient outcome. Novel, more realistic, and more immersive techniques, such as three-dimensional (3D) virtual reality (VR) could potentially contribute to the preoperative planning phase. This study shows our initial experience on the implementation of immersive VR technology as a complementary research-based imaging tool for preoperative planning in cardiothoracic surgery. In addition, essentials to set up and implement a VR platform are described. Methods Six patients who underwent cardiac surgery at the Erasmus Medical Center, Rotterdam, The Netherlands, between March 2020 and August 2020, were included, based on request by the surgeon and availability of computed tomography images. After 3D VR rendering and 3D segmentation of specific structures, the reconstruction was analysed via a head mount display. All participating surgeons (n = 5) filled out a questionnaire to evaluate the use of VR as preoperative planning tool for surgery. Conclusion Our study demonstrates that immersive 3D VR visualization of anatomy might be beneficial as a supplementary preoperative planning tool for cardiothoracic surgery, and further research on this topic may be considered to implement this innovative tool in daily clinical practice. Lay summary Over the past decades, surgery on the heart and vessels is becoming more and more complex, necessitating more precise and accurate preoperative planning. Nowadays, operative planning is feasible on flat, two-dimensional computer screens, however, requiring a lot of spatial and three-dimensional (3D) thinking of the surgeon. Since immersive 3D virtual reality (VR) is an upcoming imaging technique with promising results in other fields of surgery, we aimed in this study to explore the additional value of this technique in heart surgery. Our surgeons planned six different heart operations by visualizing computed tomography scans with a dedicated VR headset, enabling them to visualize the patient’s anatomy in an immersive and 3D environment. The outcomes of this preliminary study are positive, with a much more reality-like simulation for the surgeon. In such, VR could potentially be beneficial as a preoperative planning tool for complex heart surgery.

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