Hasil Pencarian  ::  Simpan CSV :: Kembali

Abstrak :
White Matter Hyperintensities (WMHs) merupakan neuroradiological features yang dapat dilihat pada T2-FLAIR brain MRI sebagai bagian putih (hyperintensities) dan merupakan karakteristik dari small vessel disease (SVD). Informasi detail terkait WMHs (lokasi, volume, dan distribusi) sangat diperlukan untuk membantu penanganan pasien. Akan tetapi melakukan segmentasi otomatis pada WMHs merupakan tantangan tersendiri karena ukuran, bentuk, dan letak WMHs yang tidak menentu. Hasil evaluasi dapat berubah bila test set berasal dari dataset yang berbeda dari train set, karena setiap dataset akan memiliki karakteristik yang berbeda. Penelitian ini mengusulkan model bernama Probabilistic Multi-compound Transformer (Probabilistic MCTrans) yang menggantikan model U-Net pada Probabilistic U-Net menjadi model MCTrans. Secara penelitian sebelumnya, model MCTrans dapat menyelesaikan permasalahan long-range dependencies dan model Probabilistic U-Net dapat menangkap ambiguitas dari citra medis, serta akan melakukan evaluasi cross-dataset robustness untuk mengetahui performa model bila train set berbeda sumber dari test set. Dari hasil evaluasi menunjukan bahwa Probabilistic MCTrans memiliki performa yang lebih rendah dibandingkan dengan Probabilistic U-Net. Akan tetapi Probabilistic MCTrans memiliki performa lebih baik dibandingkan dengan MCTrans. Hal tersebut dapat terjadi karena ambiguitas yang ditangkap Probabilistic MCTrans lebih banyak dari Probabilistic U-Net dan ambiguitas banyak terjadi di border WMHs.  ......White Matter Hyperintensities are neuroradiological features that often seen in T2-FLAIR brain MRI as hyperintensities and characteristic of small vessel disease (SVD). Detailed information of WMHs (i.e. location, volume, and distribution) are needed in clinical research to help treat patients. However, automatic segmentation on WMHs is still challenging due to uncertain volume, shape, and location of WMHs. Evaluation results may change if test set came from different dataset as train set, because every dataset have their own characteristic. In this study, we propose a model called Probabilistic Multi-compound Transformer (Probabilistic MCTrans), that replace U-Net from Probabilistic U-Net’s with MCTrans. In previous study, model MCTrans can solved long-range dependencies problem and model Probabilistic U-Net can capture ambiguity in biomedical image, also we would like to evaluate on cross-dataset robustness to determine performance model when the train set differs in source from the test set. The evaluation results show that Probabilistic MCTrans has a lower performance than Probabilistic U-Net. However, Probabilistic MCTrans has better performance than MCTrans. Furthermore, the ambiguity captured by Probabilistic MCTrans is more than Probabilistic U-Net and the ambiguity is around the border of WMHs. 

Abstrak :
This book aims to provide the trainee and practicing minimally invasive neurological therapist with a comprehensive understanding of the background science and theory that forms the foundation of their work. The contents are based on the tutorial teaching techniques used at the University of Oxford and are authored by the MSc Course Director. The tutorial is a learning episode focussed on a particular topic and intended to guide the student/reader through the background literature, to highlight the research on which standard practices are based and to provide the insights of an experienced practitioner. Each chapter of the book covers a different topic to build a complete review of the subspecialty, with in-depth discussion of all currently used techniques. The literature is reviewed and presented in context to illustrate its importance to the practice of this rapidly expanding field of medical treatment.

Abstrak :
Functional neuroradiology : principles and clinical applications, is a follow-up to Faro and Mohamed’s groundbreaking work, Functional (BOLD) MRI : basic principles and clinical applications. This new 49 chapter textbook is comprehensive and offers a complete introduction to the state-of-the-art functional imaging in Neuroradiology, including the physical principles and clinical applications of diffusion, perfusion, permeability, MR spectroscopy, positron emission tomography, BOLD fMRI and diffusion tensor imaging. With chapters written by internationally distinguished neuroradiologists, neurologists, psychiatrists, cognitive neuroscientists, and physicists, functional neuroradiology is divided into 9 major sections, including : physical principles of all key functional techniques, lesion characterization using diffusion, perfusion, permeability, MR spectroscopy, and positron emission tomography, an overview of BOLD fMRI physical principles and key concepts, including scanning methodologies, experimental research design, data analysis, and functional connectivity, eloquent cortex and white matter localization using BOLD fMRI and diffusion tensor imaging, clinical applications of BOLD fMRI in neurosurgery, neurology, psychiatry, neuropsychology, and neuropharmacology, multi-modality functional neuroradiology, beyond proton imaging, functional spine and CSF imaging, a full-color neuroanatomical brain atlas of eloquent cortex and key white matter tracts and BOLD fMRI paradigms. By offering readers a complete overview of functional imaging modalities and techniques currently used in patient diagnosis and management, as well as emerging technology, Functional Neuroradiology is a vital information source for physicians and cognitive neuroscientists involved in daily practice and research.

Abstrak :
Consists of diagnoses of all common disorders of the pediatric nervous system and many that are not common. For each diagnosis, information is included concerning the clinical presentation(s) of affected patients, the best sequences to perform for imaging analysis, what each imaging sequence is expected to show (in both common and uncommon presentations), and examples of images showing the key features. In addition, information is included concerning the pathophysiology and pathology of the disorders being discussed, and some basic information concerning the causative genes (when appropriate). In addition to the diagnoses, the book contains introductory chapters in multiple sections that give background on basic embryology, anatomy, and physiology as well as typical imaging features of normal structures in areas being imaged. Put together, the contents of the book make it useful for readers of many different backgrounds and at nearly all stages of training as well as practicing health professionals

Abstrak :
This radiology reference book covers brain and spine neuroimaging as well as otolaryngologic imaging.