نتایج جستجو برای: ct scan angiography

تعداد نتایج: 216009  

Journal: :مجله علوم اعصاب شفای خاتم 0
selah salehi zahabi department of radiology and nuclear medicine, kermanshah university of medical sciences, kermanshah, iran karam ahmadi aja university of medical sciences, kermanshah, iran mahmuod mehrbakhsh kermanshah university of medical sciences, kermanshah, iran

trauma is the most common reason in 1-34 years olds. in patient with multiple traumas, the head is the most common involved part. the importance of computed tomography (ct scan) in diagnosis of brain trauma is well established and ct of the brain is a choice method. finding lesion in brain traumatic patient is very important so goal of this study is finding of brain ct scan in traumatic patient...

2013
Ying Liu Jian Xu Jian Li Jing Ren Hongtao Liu Junqing Xu Mengqi Wei Yuewen Hao Minwen Zheng

BACKGROUND Aortic dissection is a lift-threatening medical emergency associated with high rates of morbidity and mortality. The incidence rate of aortic dissection is estimated at 5 to 30 per 1 million people per year. The prompt and correct diagnosis of aortic dissection is critical. This study was to compare the ascending aortic image quality and the whole aortic radiation dose of high-pitch ...

Introduction: Describe the profile of patients referred for computed tomography (CT) likely to be scanned with scintigraphy imaging in Togo. Methods: Prospective study carried out from May 15 to August 15 2020 including patients referred for non-traumatic CT scans (excluding strokes) in all the radiology centres in Togo with operational ...

2004
Sílvia Delgado Olabarriaga Marcel Breeuwer Wiro J. Niessen

In this paper we present, evaluate, and discuss two multiscale schemes for modelling grey-level appearance in a deformable model for the segmentation of abdominal aortic aneurysm thrombus from CT angiography scans. The methods are initialised with the lumen boundary, and the image-based deformation force is based on a non-parametric statistical grey level model built from training data obtained...

2004
Andrea Giachetti Gianluigi Zanetti

Computer vision methods can be applied to a variety of medical and surgical applications, and many techniques and algorithms are available that can be used to recover 3D shapes and information from images range and volume data. Complex practical applications, however, are rarely approachable with a single technique, and require detailed analysis on how they can be subdivided in subtasks that ar...

2006
Yoshito Mekada Yuki Wakida Yuichiro Hayashi Ichiro Ide Hiroshi Murase

In this paper, we propose a method of detecting liver cancers from dynamic X-ray computed tomography (CT) images based on a two-dimensional histogram analysis. In the diagnosis of a liver, a doctor examines dynamic CT images. These consist of four images, namely the pre-contrast phase, early phase, portal phase, and late phase ones, which are taken sequentially within a few minutes. Since the e...

Journal: :acta medica iranica 0
m.a. shabani h. saberi

massive hemoptysis is one of the most important respiratory emergencies and pulmonary infiltrating diseases are among the rare causes of hemoptysis. bronchial artery embolization (bae) is a safe and effective treatment in these patients. our case was a 45 years old woman with a 7 year history of hodgkin's lymphoma who presented with massive hemoptysis of 20 days duration. ct scan revealed prebr...

2011
Dong Ping Zhang Xiahai Zhuang Sébastien Ourselin Daniel Rueckert

In this paper, we present a novel approach for simultaneous motion tracking of left ventricle and coronary arteries from cardiac Computed Tomography Angiography (CTA) images. We first use the multi-scale vesselness filter proposed by Frangi et al. to enhance vessels in the cardiac CTA images. The vessel centrelines are then extracted as the minimal cost path from the enhanced images. The centre...

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