Hasil Pencarian  ::  Simpan CSV :: Kembali

"This atlas is a detailed guide to the imaging appearances of gliomas following treatment with neurosurgery, radiation therapy, and chemotherapy. Normal and pathological findings are displayed in detailed MR images that illustrate the potential modifications due to treatment. Particular emphasis is placed on characteristic appearances on the newer functional MR imaging techniques, including MR spectroscopy, diffusion-weighted imaging, and perfusion imaging. These techniques are revolutionizing neuroradiology by going beyond the demonstration of macroscopic alterations to the depiction of preceding metabolic changes at the cellular and subcellular level, thereby allowing earlier and more specific diagnosis. A key section comprising some 40 clinical cases and more than 500 illustrations offers an invaluable clinical and research tool not only for neuroradiologists but also for neurosurgeons, radiotherapists, and medical oncologists."

"Breast MRI is a comprehensive, practical resource entirely devoted to this state-of-the-art technique, which has emerged as a valuable adjunct to the conventional imaging modalities in the detection of primary and recurrent breast cancer. This brand-new medical reference book utilizes an atlas-type format that showcases numerous examples of each aspect of breast MRI, equipping you with the latest knowledge on effective breast image interpretation. Compare your breast imaging findings to a wealth of breast MRI examples that capture the characteristic clinical presentation of both normal and diseased patients. Apply the most up-to-date information available on all aspects of breast MRI, including MRI-guided biopsy, breast cancer screening with MRI, MRI features of benign and malignant lesions, and MRI in the evaluation of newly diagnosed breast cancer.Take advantage of an image-rich, atlas-type format that offers the visual clarity you need for accurate interpretation.Access the full text and images online at Expert Consult."

"ABSTRAKPeningkatan kualitas citra medis khususnya untuk bagian kepala manusia terus dikembangkan, termasuk dengan pemodelan 3D. Hal ini dilakukan untuk mengurangi kesalahan dalam proses diagnosa dan memfasilitasi pendeteksian tumor otak dengan pendekatan 3D. Dalam prosesnya, citra MRI otak dianalisa secara 3D sehingga diperoleh bagian tumor otak. Citra MRI dikonversi dari citra berformat MINC. Citra diklasifikasi untuk mendeteksi objek menggunakan K-Means Clustering yang akan memisahkan bagian tumor dan otak. Proses filter dilakukan menggunakan Non-Local Means sehingga noise hasil pengolahan dapat berkurang dari proses sebelumnya. Hasil citra pengolahan disegmentasi untuk meningkatkan dan mendukung proses rekonstruksi menggunakan Thresholding. Terakhir adalah merekonstruksi citra dalam bentuk 3D menggunakan metode Marching Cube. Evaluasi akurasi sistem meliputi pengurangan resolusi, pengujian citra normal, uji perbandingan, penggantian format citra dan penambahan noise. Hasil akurasi pendeteksian tumor otak mencapai 100% untuk format PNG dan resolusi 512x512, 97,7% untuk resolusi 256x256, 96,9% untuk citra normal tanpa tumor dan 97,96% berdasarkan perbandingan data olah dengan data referensi. Format PNG memiliki akurasi dibandingkan format JPEG dengan perbedaan sebesar 4%. Pengujian dengan menambahkan noise menghasilkan akurasi 87,6% untuk densitas 0,01, 83,6% untuk 0,05 dan 74,5% untuk 0,09.

---

ABSTRACTMedical image enhancement especially for human brain imageries is rapidly developed, including 3D modeling. This research is aimed to reduce the error of diagnosis process and facilitate brain tumor detection using 3D approach. In the process, 3D brain from MRI imageries is analyzed to detect brain tumors. MRI image is converted from MINC format. Then, the image is classified to detect objects using K-Means Clustering to divide each part of brain. Filtering is performed using Non-Local Means to remove noise from previous processes. The result of imageries are segmented to enhance and support reconstruction process using Thresholding. Finally, 3D image reconstruction is performed using Marching Cube method. The accuracy of brain tumor detection is evaluated of resolution reduction, non tumor image testing, comparison testing, modifying image format, and adding noise. The accuracy rate of brain tumor detection is 100% for PNG format and 512x512 resolution, 97,7% for 256x256 resolution, 96,9% for non tumor image and 97,96% for comparison between ideal image and reference data. PNG format has better accuracy with JPEG by 4% improvement. The accuracy of adding noise is 87,6% for 0,01 density, 83,6% for 0,05 and 74,5% for 0,09."

"Renowned for its superb illustrations and highly practical information, the third edition of this classic reference reflects the very latest in state-of-the-art imaging technology. Together with Volumes 2 and 3, this compact and portable book provides a highly specialized navigational tool for clinicians seeking to master the ability to recognize anatomical structures and accurately interpret CT and MR images."

"Recent advances in MR technology permit the application of diffusion MRI outside of the brain. In this book, the authors present cases drawn from daily clinical practice to illustrate the role of diffusion sequences, along with other morphological and functional MRI information, in the work-up of a variety of frequently encountered oncological and non-oncological diseases. Breast, musculoskeletal, whole-body, and other applications are covered in detail, with careful explanation of the pros and cons of diffusion MRI in each circumstance. Quantification and post-processing are discussed, and advice is provided on how to acquire state of the art images, and avoid artifacts, when using 1.5- and 3-T magnets. Applications likely to emerge in the near future, such as for screening, are also reviewed. The practical approach adopted by the authors, combined with the wealth of high-quality illustrations."

"Pada saat ini, teknologi elektromagnetik terapan telah digunakan di berbagai bidang, termasuk di bidang kesehatan. Teknologi ini banyak diaplikasikan untuk melakukan proses analisa suatu penyakit atau bahkan melakukan penyembuhan. Dari banyak kegunaan itu, salah satu aplikasi teknologi elektromagnetik terapan di bidang medis adalah sistem pencitraan penampang tubuh. Dari beberapa instrumen kesehatan yang berfungsi untuk menampilkan pencitraan penampang tubuh, Magnetic Resonance Imaging (MRI) memiliki keunggulan untuk melakukan pencitraan organ-organ lunak. Pengaplikasian teknologi MRI terus berkembang hingga sekarang termasuk teknik penggunaan RF Coil Resonator yang terdapat di sistem MRI.Pada skripsi ini akan dirancang bangun sebuah RF Coil Resonator untuk sistem MRI 3 Tesla agar dapat menghasilkan citra atau penggambaran dari objek yang lebih jelas dan dapat digunakan oleh tenaga medis seperti dokter sebagai acuan untuk menganalisa suatu jaringan lunak yang bermasalah. Penelitian ini merancang sebuah resonator phased array yang terdiri dari 8 elemen yang bekerja pada frekuensi 127,7 MHz. Berdasarkan hasil simulasi, resonator tersebut memiliki keseragaman medan magnet dan nilai Specific Absorption Rate (SAR) dibawah ambang batas aman yaitu 0,195 W/kg. Diharapkan hasil rancangan ini dapat bekerja secara paralel untuk meningkatkan fungsionalitas dan kemampuan sistem MRI yang menghasilkan suatu citra yang lebih baik dan waktu scanning yang lebih cepat dibandingkan dengan resonator konvensional. Resonator phased array coil ini telah difabrikasi dan diukur parameter S-parameter dengan hasil yang sesuai dengan hasil simulasi pada frekuensi kerja 127,67 MHz.

---

Currently, applied electromagnetic technology has been used in various fields, including for health sector. This technology is widely adopted for disease diagnosis as well as for treatment. One of several applications in applied electromagnetic technology is imaging system for medical field application. One of medical instruments which are used for body imaging system, that is Magnetic Resonance Imaging (MRI), has the advantage to create an image of soft organ. Application of MRI technology continues to evolve up until now, including the development of RF Coil Resonator techniques for MRI systems.

In this thesis, a RF Resonator Coil for 3 MRI 3 Tesla system is designed in order to produce high-resolution images, so it can be used by medical personnel such as doctors to analyze the soft tissue problems.

In this study, a RF phased array resonator that consists of 8 elements is designed for working at the frequency of 127.7 MHz. According to the simulation results, the resonator has uniform magnetic field and low value of Specific Absorption Rate (SAR) below the safety threshold by 0.195 W / kg.

It is expected that this design is able to operate for parallel operation in order to increase the functionality and capability of the MRI system can produces a better image and a faster scanning time in comparison with the conventional resonator one. The phased array coil resonator has been fabricated and measured, where the Sparameter results agree with the simulation results at the operation frequency 127.67 MHz."