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Full-Text Articles in Neurology
Atlas-Based Shared-Boundary Deformable Multi-Surface Models Through Multi-Material And Two-Manifold Dual Contouring, Tanweer Rashid, Sharmin Sultana, Mallar Chakravarty, Michel Albert Audette
Atlas-Based Shared-Boundary Deformable Multi-Surface Models Through Multi-Material And Two-Manifold Dual Contouring, Tanweer Rashid, Sharmin Sultana, Mallar Chakravarty, Michel Albert Audette
Electrical & Computer Engineering Faculty Publications
This paper presents a multi-material dual “contouring” method used to convert a digital 3D voxel-based atlas of basal ganglia to a deformable discrete multi-surface model that supports surgical navigation for an intraoperative MRI-compatible surgical robot, featuring fast intraoperative deformation computation. It is vital that the final surface model maintain shared boundaries where appropriate so that even as the deep-brain model deforms to reflect intraoperative changes encoded in ioMRI, the subthalamic nucleus stays in contact with the substantia nigra, for example, while still providing a significantly sparser representation than the original volumetric atlas consisting of hundreds of millions of voxels. The …
Henry Gas Solubility Optimization Double Machine Learning Classifier For Neurosurgical Patients, Diana T Mosa, Amena Mahmoud, John Zaki, Shaymaa E Sorour, Shaker El-Sappagh, Tamer Abuhmed
Henry Gas Solubility Optimization Double Machine Learning Classifier For Neurosurgical Patients, Diana T Mosa, Amena Mahmoud, John Zaki, Shaymaa E Sorour, Shaker El-Sappagh, Tamer Abuhmed
Journal Articles
This study aims to predict head trauma outcome for Neurosurgical patients in children, adults, and elderly people. As Machine Learning (ML) algorithms are helpful in healthcare field, a comparative study of various ML techniques is developed. Several algorithms are utilized such as k-nearest neighbor, Random Forest (RF), C4.5, Artificial Neural Network, and Support Vector Machine (SVM). Their performance is assessed using anonymous patients' data. Then, a proposed double classifier based on Henry Gas Solubility Optimization (HGSO) is developed with Aquila optimizer (AQO). It is implemented for feature selection to classify patients' outcome status into four states. Those are mortality, morbidity, …
Development Of A Non-Invasive Device For Swallow Screening In Patients At Risk Of Oropharyngeal Dysphagia: Results From A Prospective Exploratory Study, Catriona M. Steele, Rajat Mukherjee, Juha M. Kortelainen, Harri Pölönen, Michael Jedwab, Susan L. Brady, Kayla Brinkman Theimer, Susan Langmore, Luis F. Riquelme, Nancy B. Swigert, Philip M. Bath, Larry B. Goldstein, Richard L. Hughes, Dana Leifer, Kennedy R. Lees, Atte Meretoja, Natalia Muehlemann
Development Of A Non-Invasive Device For Swallow Screening In Patients At Risk Of Oropharyngeal Dysphagia: Results From A Prospective Exploratory Study, Catriona M. Steele, Rajat Mukherjee, Juha M. Kortelainen, Harri Pölönen, Michael Jedwab, Susan L. Brady, Kayla Brinkman Theimer, Susan Langmore, Luis F. Riquelme, Nancy B. Swigert, Philip M. Bath, Larry B. Goldstein, Richard L. Hughes, Dana Leifer, Kennedy R. Lees, Atte Meretoja, Natalia Muehlemann
Neurology Faculty Publications
Oropharyngeal dysphagia is prevalent in several at-risk populations, including post-stroke patients, patients in intensive care and the elderly. Dysphagia contributes to longer hospital stays and poor outcomes, including pneumonia. Early identification of dysphagia is recommended as part of the evaluation of at-risk patients, but available bedside screening tools perform inconsistently. In this study, we developed algorithms to detect swallowing impairment using a novel accelerometer-based dysphagia detection system (DDS). A sample of 344 individuals was enrolled across seven sites in the United States. Dual-axis accelerometry signals were collected prospectively with simultaneous videofluoroscopy (VFSS) during swallows of liquid barium stimuli in thin, …
Histogram Analysis Of Adc In Brain Tumor Patients, Debrup Banerjee, Jihong Wang, Jiang Li, Norbert J. Pelc (Ed.), Ehsan Samei (Ed.), Robert M. Nishikawa (Ed.)
Histogram Analysis Of Adc In Brain Tumor Patients, Debrup Banerjee, Jihong Wang, Jiang Li, Norbert J. Pelc (Ed.), Ehsan Samei (Ed.), Robert M. Nishikawa (Ed.)
Electrical & Computer Engineering Faculty Publications
At various stage of progression, most brain tumors are not homogenous. In this presentation, we retrospectively studied the distribution of ADC values inside tumor volume during the course of tumor treatment and progression for a selective group of patients who underwent an anti-VEGF trial. Complete MRI studies were obtained for this selected group of patients including pre- and multiple follow-up, post-treatment imaging studies. In each MRI imaging study, multiple scan series were obtained as a standard protocol which includes T1, T2, T1-post contrast, FLAIR and DTI derived images (ADC, FA etc.) for each visit. All scan series (T1, T2, FLAIR, …