Brain tumor is a formation of abnormal cells within the brain that can disrupt the function of the brain. In India, every year 40,000-50,000 persons are diagnosed with brain tumor. Traditionally, radiologist manually detect and calculate the size of the tumor from C...
Radiomics relies on the extraction of a wide variety of quantitative image-based features to provide decision support. Magnetic resonance imaging (MRI) contributes to the personalization of patient care but suffers from being highly dependent on acquisition and reconstruction parameters. Today, there are...
The areas of midbrain tegmentum and pons were measured on mid-sagittal sections of T1-weighted images of MRI using software NIH Image J ver.1.45. The... H Kikuchi,M Takayama,S Hirohata - 《Journal of the Neurological Sciences》 被引量: 24发表: 2014年 Ultrasmall superparamagnetic iron oxide...
This work has also been able to demonstrate the translational value of the approach used in a cohort of healthy humans at high resolution, “in which we performed a reproducibility analysis. The significant association with known microglia density patterns in the human brain supports the use...
through defacing, can represent selective populations around universities, focus on healthy controls rather than diseased populations, and are often curated before distribution to eliminate bad quality data. This limits the potential applicability of any model trained on such data in clinical settings. ...
Under a Creative Commons license open accessAbstract Brain tumor segmentation is a process of identifying the cancerous brain tissues and labeling them automatically based on the tumor types. Manual segmentation of tumor from brain MRI is time-consuming and error-prone. There is a need for fast ...
So resultant CT scan or MRI scan may be rotated, scaled or translated. So it must be registered correctly as reference image for diagnosis purpose. Simulations are shown which shows the performance of the method presented. 展开 关键词: biomedical MRI brain computerised tomography image registration...
The classification of brain tumors is performed by biopsy, which is not usually conducted before definitive brain surgery. The improvement of technology and machine learning can help radiologists in tumor diagnostics without invasive measures. A machine-learning algorithm that has achieved substantial resul...
In general, scan times are long in MRI and a significant amount of contemporary MRI research focuses on accelerating the acquisition process. Clearly, staying still for dozens of minutes on end is even more challenging for infants than for adults, and hence efforts should be taken to make the...
Magnetic Resonance Imaging (MRI) has emerged as a cornerstone in the non-invasive diagnosis of brain tumors [2], offering detailed images of the brain’s anatomy and pathology. MRI provides unparalleled soft tissue contrast, facilitating the distinction between healthy and pathological tissues. It is...