20. ölüm yıldönümünde Halikarnas Balıkçısı'nın yazın ve düşün dünyasına bir bakış:Trajik yazgısı onu yeniden var etti

Taha Toros Arşivi, Dosya Adı: Ahmet Cevat Paşa-Cevat Şakir Kabaağaçl

Bir söz simyacısı Sait Maden

Taha Toros Arşivi, Dosya No: 5-Ahmet Ziya, Ragıp Ziya, Sait - Perihan Mağdenİstanbul Kalkınma Ajansı (TR10/14/YEN/0033) İstanbul Development Agency (TR10/14/YEN/0033

Registration of brain tumor images using hyper-elastic regularization

In this paper, we present a method to estimate a deformation field between two instances of a brain volume having tumor. The novelties include the assessment of the disease progress by observing the healthy tissue deformation and usage of the Neo-Hookean strain energy density model as a regularizer in deformable registration framework. Implementations on synthetic and patient data provide promising results, which might have relevant use in clinical problems

Bugün bütün bir hayat

Taha Toros Arşivi, Dosya No: 21-Selim İleri. Not: Gazetenin "Hayatın Öte Yakası" köşesinde yayımlanmıştır.İstanbul Kalkınma Ajansı (TR10/14/YEN/0033) İstanbul Development Agency (TR10/14/YEN/0033

Şairin ömrüne övgü

Taha Toros Arşivi, Dosya No: 326-Melih Cevdet Anday. Not: Gazetenin "Hayatın Öte Yakası" köşesinde yayımlanmıştır.İstanbul Kalkınma Ajansı (TR10/14/YEN/0033) İstanbul Development Agency (TR10/14/YEN/0033

Cellular automata segmentation of brain tumors on post contrast MR images

In this paper, we re-examine the cellular automata(CA) al- gorithm to show that the result of its state evolution converges to that of the shortest path algorithm. We proposed a complete tumor segmenta- tion method on post contrast T1 MR images, which standardizes the VOI and seed selection, uses CA transition rules adapted to the problem and evolves a level set surface on CA states to impose spatial smoothness. Val- idation studies on 13 clinical and 5 synthetic brain tumors demonstrated the proposed algorithm outperforms graph cut and grow cut algorithms in all cases with a lower sensitivity to initialization and tumor type

Image analysis methods for brain tumor treatment follow-up

Assessment of the progression of the tumors in current clinical practice is based on maximum diameter measurements, which are related to the volumetric changes. With the advent of the spatially localized radiotherapy techniques (i.e. Cyberknife, IMRT, Gammaknife, Tomotherapy) not only the volumes of the tumors but also the geometric changes need to be considered to measure the effectiveness and to improve the applied therapy. In this thesis, image analysis techniques are developed for assessment of the changes of the tumor geometry between MRI volumes acquired after and before the therapy. Three main parts of the thesis are: Segmentation of brain tumors on MRI; change quantification in temporal MRI series of brain tumors; and deformable registration of brain MRI volumes with tumors. The results obtained by the developed semi-automatic brain tumor segmentation method, Tumor-cut, are comparable with those of state-of-the-art techniques in the field. The quantification of tumor evolution using the invariants of the Lagrange strain tensor provide measures that are more correlated with the clinical outcome than the volumetric measures. The deformable registration of longitudinal data provides a novel framework to study brain deformations, in vivo, and more accurate assessment of the changes

The Assessment of Early Stage Computed Tomography Findings in Acute Ischemic Stroke

The imaging techniques have become important tools during diagnostic stage of acute ischemic stroke during the last 30 years. The improvement in these techniques further increased the clinical areas that these tools could be used. As computerized brain tomography (CT) is a rapid, cheap, non-invasive and highly available imaging tool in most hospitals, it remains to be the primary scanning method for all acute patients.The aim of this study was to evaluate the early stage CT findings in the ischemic stroke patients which have been scanned in the first 8 to 12 hours after the incidence. Sixty four cases (26 male, 38 female) who had clinical symptoms of ischemic stroke have been included in this study. CT scan was performed twice to these patients; first in the first 8 to 12 hours, and second in between 24 hours and 48 hours after the stroke. The middle cerebral artery perfused area was the most common arterial area affected among cases who had CT findings in early scans. Hypodense lesions were most common lesions encountered in CT findings. Hyperdense middle cerebral artery sign in early CT findings could be an indicator of ischemia due to arterial occlusion. We determined that the CT images obtained at the beginning of developing stroke appeared to show the lesions smaller than what they really were. There were significant differences between the emergency room evaluation and detailed clinical evaluation of CT scans. More findings have been observed in late CT scans performed between 24 hours and 48 hours than the ones performed in the first 8 hours and 12 hours. There was no correlation between the presence of CT findings in early scans and severity of clinical features of ischemia. CT appears to be an important tool in diagnosing ischemic strokes even at early stages. Developments in diagnostic precision of CT tools will further increase our understanding of ischemic strokes and their clinical progress