The Effect of Chemotherapy on Optic Pathway Gliomas and Their Sub-Components: A Volumetric MR Analysis Study

Abstract Background. Optic pathway gliomas (OPG) represent 5% of pediatric brain tumors and compose a major therapeutic dilemma to the treating physicians. While chemotherapy is widely used for these tumors, our ability to predict radiological response is still lacking. In…

The role of automatic computer-aided surgical trajectory planning in improving the expected safety of stereotactic neurosurgery

Abstract Purpose Minimal invasion computer-assisted neurosurgical procedures with various tool insertions into the brain may carry hemorrhagic risks and neurological deficits. The goal of this study is to investigate the role of computer-based surgical trajectory planning tools in improving the…

Schizophrenia patients di erentiation based on MR vascular perfusion and volumetric imaging

Abstract Candecomp/Parafac Decomposition (CPD) has emerged as a framework for modeling N-way arrays (higher-order matrices). CPD is naturally well suited for the analysis of data sets comprised of observations of a function of multiple discrete indices. In this study we…

Validation of a stereo camera system to quantify brain deformation due to breathing and pulsatility

Abstract Purpose: A new stereo vision system is presented to quantify brain shift and pulsatility in open-skull neurosurgeries. Methods: The system is endowed with hardware and software synchronous image acquisition with timestamp embedding in the captured images, a brain surface…

Semiautomatic segmentation and follow-up of multicomponent low-grade tumors in longitudinal brain MRI studies

Abstract Purpose: Tracking the progression of low grade tumors (LGTs) is a challenging task, due to their slow growth rate and associated complex internal tumor components, such as heterogeneous enhancement, hemorrhage, and cysts. In this paper, the authors show a…

Fast MRI for repeated scans

Abstract Radiological assessment of brain disease progression and response to therapy is often performed with repeated MRI scans acquired every few weeks/months. In these longitudinal studies, each scan is acquired anew without taking into account the information present in previous…

Automatic methods for tumor segmentation and follow-up in MR images

Abstract Magnetic resonance imaging (MRI) is the method of choice for the noninvasive assessment of tumors. The common treatment evaluation of tumors is based on MRI scans acquired every several weeks or months. It is crucial to accurately quantify the…

Brain Tissue Deformation Tracking with a Paraboloid Model for Outlier Detection

Abstract This paper describes a new method for real-time quantification of brain shift during craniotomy surgery. Our method estimates the deformation on the visible surface of the brain by tracking the 3D location of automatically selected points on the brain…

Quantitative functional MRI Biomarkers Improved Early Detection of Colorectal Liver Metastases

Abstract Purpose: To implement and evaluate the performance of a computerized statistical tool designed for robust and quantitative analysis of hemodynamic response imaging (HRI) -derived maps for the early identification of colorectal liver metastases (CRLM). Materials and Methods: CRLM-bearing mice…

Deep brain stimulation surgery time reduction based on the automatic detection of the subthalamic nucleus: method and preliminary results

Abstract. Deep brain stimulation (DBS) surgery of the subthalamic nucleus (STN) is an effective therapy in the management of the motor symptoms of advanced Parkinson’s disease (PD). The accurate localization of the STN is essential to achieve an optimal outcome…

Microelectrode Recording Duration and Spatial Density Constraints for Automatic Targeting of the Subthalamic Nucleus

Abstract Background: Accurate detection of the boundaries of the subthalamic nucleus (STN) in deep brain stimulation (DBS) surgery using microelectrode recording (MER) is considered to refine localization and may therefore improve clinical outcome. However, MER tends to extend operation time…

Planning safe trajectories in image-guided keyhole neurosurgery

Abstract Many image-guided keyhole neurosurgery procedures require the precise targeting of tumors and anatomical structures with a surgical tool inside the brain based on pre-operative CT/MRI images. A misplacement of the surgical tool from the planned trajectory may result severe…

Insights into Volumetric and Sub Segmentation Long-term Analysis of Treated OPG Patients Receiving Chemotherapy

Abstract INTRODUCTION: Optic pathway gliomas pose a major management difficulty in NF1 and sporadic patients. Diagnosis and follow up are heavily based on multiple MR imaging. Currently, assessment of tumor volume and response to treatment is based on single slice…

Reduced risk trajectory planning in image-guided keyhole neurosurgery

Abstract Purpose: The authors present and evaluate a new preoperative planning method and computer software designed to reduce the risk of candidate trajectories for straight rigid tool insertion in image-guided keyhole neurosurgery. Methods: Trajectories are computed based on the surgeon-defined…

Fast Semi-Automatic Plexiform Neurofibroma Tumor Segmentation in MRI Scans

Abstract Neurofibromatosis-1 (NF-1) is a common genetic disorder associated with the frequent occurrence of central and peripheral nervous system tumors. Plexiform Neurofibromas (PN) are one of the hallmarks of NF-1. These are benign nerve sheath tumors with a complex shape,…

Fiducial Optimization for Minimal Target Registration Error in Image-Guided Neurosurgery

Abstract This paper presents new methods for the optimal selection of anatomical landmarks and optimal placement of fiducial markers in image-guided neurosurgery. These methods allow the surgeon to optimally plan fiducial marker locations on routine diagnostic images before preoperative imaging…

Prediction of Brain MR Scans in Longitudinal Tumor Follow-Up Studies

Abstract We present a new method for the estimation of the next brain MR scan in a longitudinal tumor follow-up study. Our method effectively incorporates information of the past scans in the time series to predict the future scan of…

MRI internal segmentation of optic pathway gliomas: clinical implementation of a novel algorithm

Abstract Purpose Optic pathway gliomas (OPGs) are diagnosed based on typical MR features and require careful monitoring with serial MRI. Reliable, serial radiological comparison of OPGs is a difficult task, where accuracy becomes very important for clinical decisions on treatment…

Target and Trajectory Clinical Application Accuracy in Neuronavigation

Abstract BACKGROUND: Catheter, needle, and electrode misplacement in navigated neurosurgery can result in ineffective treatment and severe complications. OBJECTIVE: To assess the Ommaya ventricular catheter localization accuracy both along the planned trajectory and at the target. METHODS: We measured the…

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