scholarly journals Simulation of Pulsatile Flow in Cerebral Aneurysms: From Medical Images to Flow and Forces

Aneurysm ◽  
10.5772/47858 ◽  
2012 ◽  
Author(s):  
Julia Mikhal ◽  
Cornelis H. ◽  
Bernard J.
2012 ◽  
Vol 45 ◽  
pp. S468 ◽  
Author(s):  
Julia Mikhal ◽  
Bernard J. Geurts

2011 ◽  
Vol 4 ◽  
pp. 811-820 ◽  
Author(s):  
Julia Mikhal ◽  
Bernard J. Geurts

Author(s):  
Yasutaka Tobe ◽  
Takanobu Yagi ◽  
Sara Takahashi ◽  
Yuki Iwabuchi ◽  
Momoko Yamanashi ◽  
...  

Recent studies of cerebral aneurysms are held using the blood flow simulation with patient-specific luminal geometries. In the study of development of cerebral aneurysms, wall shear stress (WSS) is focused as one of the key factors1–2. But the answer to the relationship between the extension of aneurysm and the theory of low WSS and high WSS still remains a question. One reason this question remains unsolved is because the current research about the cerebral aneurysms are held only using the vascular geometry developed from the medical images. From the intra-operative observation of cerebral aneurysms, the appearance of the cerebral aneurysm is not unified. Certain parts of the cerebral aneurysm have thin-walled structures where the blood flow of the aneurysm can be observed through the aneurysm wall. These differences in the wall structures cannot be predicted from the medical images. The purpose of this study is to see the relationship between hemodynamic patterns and thin-walled structure in human cerebral aneurysms.


Author(s):  
Kazuhiro Watanabe ◽  
Hitomi Anzai ◽  
Norman Juchler ◽  
Sven Hirsch ◽  
Philippe Bijlenga ◽  
...  

Abstract Rupture of cerebral aneurysms is the main cause of subarachnoid hemorrhage, which can have devastating effects on quality of life. The identification and assessment of unruptured aneurysms from medical images is therefore of significant clinical relevance. In recent years, the availability of clinical imaging data has rapidly increased, which calls for computer assisted detection (CAD) systems. Previous studies have shown that CAD systems based on convolutional neural networks (CNN) can help to detect cerebral aneurysms from magnetic resonance angiographies (MRAs). However, these CAD systems require large datasets of annotated medical images. Thus, more efficient tools for processing and categorizing medical imaging data are required. Previous studies of CNN-based classification for medical images used various patch configurations of input data. These studies showed that classification accuracy was affected by the patch size or image representation. Thus, we hypothesize that the accuracy of CADs to detect cerebral aneurysms can be improved by adjusting the configuration of the input patches. In the present study, we performed CNN-based medical imaging classification for varying input data configurations to examine the relationship between classification accuracy and data configuration.


2016 ◽  
Vol 64 (S 02) ◽  
Author(s):  
A. Salameh ◽  
L. Kuehne ◽  
M. Grassl ◽  
M. Gerdom ◽  
S. von Salisch ◽  
...  

1997 ◽  
Vol 37 (2) ◽  
pp. 225 ◽  
Author(s):  
Hye Won Chung ◽  
Myung Jin Chung ◽  
Jae Hyung Park ◽  
Jin Wook Chung ◽  
Dong Hyuk Lee ◽  
...  

EMJ Radiology ◽  
2020 ◽  
Author(s):  
Filippo Pesapane

Radiomics is a science that investigates a large number of features from medical images using data-characterisation algorithms, with the aim to analyse disease characteristics that are indistinguishable to the naked eye. Radiogenomics attempts to establish and examine the relationship between tumour genomic characteristics and their radiologic appearance. Although there is certainly a lot to learn from these relationships, one could ask the question: what is the practical significance of radiogenomic discoveries? This increasing interest in such applications inevitably raises numerous legal and ethical questions. In an environment such as the technology field, which changes quickly and unpredictably, regulations need to be timely in order to be relevant.  In this paper, issues that must be solved to make the future applications of this innovative technology safe and useful are analysed.


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