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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Evaluation of pathological complete response after neoadjuvant systemic treatment of invasive breast cancer using diffusion-weighted imaging compared with dynamic contrast-enhanced based kinetic analysis / 浸潤性乳癌の術前薬物療法後のMRIによる治療効果判定:拡散強調画像とダイナミック造影の比較検討

Ota, Rie 24 November 2023 (has links)
京都大学 / 新制・課程博士 / 博士(医学) / 甲第24969号 / 医博第5023号 / 新制||医||1069(附属図書館) / 京都大学大学院医学研究科医学専攻 / (主査)教授 溝脇 尚志, 教授 小濱 和貴, 教授 鈴木 実 / 学位規則第4条第1項該当 / Doctor of Medical Science / Kyoto University / DFAM
2

Zpracování difuzně vážených obrazů / Signal Processing for Diffusion Weighted Imaging

Petrek, Tomáš January 2015 (has links)
Diploma thesis explores the possibility of using diffusion-weighted images in medicine. The paper is a brief physical principle of operation of the magnetic resonance as a tool for non-destructive imaging of the internal structure of substances, the principle of the display contrast as T1, T2 and diffusion weighted images, the course of the sequence for obtaining images with different contrast. Medicine is faced with the problem of classification of pathological tissue in the brain. Contrast diffusion-weighted images does not visually determine the shape of pathological tissue in the form of a tumor or edema. With the T1 and T2 weighted images were calculated mask corresponding tumor and edema, that have been applied to the diffusion-weighted images. Images of the tumor and edema have been subjected diffusivity measurements and statistical evaluation for the purpose of classifying the type of tumor. Investigations were seven findings glioma and metastatic five awards. The research was focused on classifying pathological tissue.

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