multislice imaging
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2019 ◽  
Vol 83 (6) ◽  
pp. 2185-2196 ◽  
Author(s):  
Anthony N. Price ◽  
Lucilio Cordero‐Grande ◽  
Shaihan J. Malik ◽  
Joseph V. Hajnal

NeuroImage ◽  
2019 ◽  
Vol 200 ◽  
pp. 159-173 ◽  
Author(s):  
Daniel Christopher Hoinkiss ◽  
Peter Erhard ◽  
Nora-Josefin Breutigam ◽  
Federico von Samson-Himmelstjerna ◽  
Matthias Günther ◽  
...  

2018 ◽  
Vol 24 (S2) ◽  
pp. 26-27
Author(s):  
Kei Shimomura ◽  
Makoto Hirose ◽  
Takaya Higashino ◽  
Yukio Takahashi

2018 ◽  
pp. 3-14

Les tumeurs stromales gastro-intestinales (GIST) sont les tumeurs mésenchymateuses les plus fréquentes du tube digestif. Ces tumeurs expriment le CD117 dans 95% des cas. Leur localization préférentielle est l’estomac. Leur diagnostic est difficile et parfois tardif. Le progrès de l’imagerie a largement contribué à l’amélioration de la prise en charge et donc du pronostic. La tomodensitométrie (TDM) constitue l’examen de référence pour le diagnostic, le bilan d’extension, et le suivi après traitement. La meilleure connaissance de l’histopathologie des GIST et la survie prolongée ont permis de dégager certains aspects évocateurs en imagerie. Mot clés: tumeurs stromales gastro-intestinales; tomodensitométrie; diagnostic


2018 ◽  
pp. 3-14

Gastrointestinal stromal tumors (GIST) are the most common mesenchymal tumors of the digestive tract (1%). These tumors express the CD 117 in 95% of cases. The stomach is the preferential localization (70%). Diagnosis is difficult and sometimes late. Progress of imaging has greatly improved the management and the prognosis. Computed tomography (CT) is the gold standard for diagnosis, staging, and treatment follow-up. The increasing recognition of GIST’s histopathology and the prolonged survival revealed some suggestive imaging aspects. Key words: gastro-intestinal stromal tumors; computed tomography; diagnosis


2018 ◽  
Vol 74 (1) ◽  
pp. 66-70 ◽  
Author(s):  
Kei Shimomura ◽  
Makoto Hirose ◽  
Yukio Takahashi

A method for nondestructively visualizing multisection nanostructures of integrated circuits by X-ray ptychography with a multislice approach is proposed. In this study, tilt-series ptychographic diffraction data sets of a two-layered circuit with a ∼1.4 µm gap at nine incident angles are collected in a wideQrange and then artifact-reduced phase images of each layer are successfully reconstructed at ∼10 nm resolution. The present method has great potential for the three-dimensional observation of flat specimens with thickness on the order of 100 µm, such as three-dimensional stacked integrated circuits based on through-silicon vias, without laborious sample preparation.


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