22 research outputs found

    Patient-Specific Real-Time Segmentation in Trackerless Brain Ultrasound

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    Intraoperative ultrasound (iUS) imaging has the potential to improve surgical outcomes in brain surgery. However, its interpretation is challenging, even for expert neurosurgeons. In this work, we designed the first patient-specific framework that performs brain tumor segmentation in trackerless iUS. To disambiguate ultrasound imaging and adapt to the neurosurgeon's surgical objective, a patient-specific real-time network is trained using synthetic ultrasound data generated by simulating virtual iUS sweep acquisitions in pre-operative MR data. Extensive experiments performed in real ultrasound data demonstrate the effectiveness of the proposed approach, allowing for adapting to the surgeon's definition of surgical targets and outperforming non-patient-specific models, neurosurgeon experts, and high-end tracking systems. Our code is available at: \url{https://github.com/ReubenDo/MHVAE-Seg}.Comment: Early accept at MICCAI 2024 - code available at: https://github.com/ReubenDo/MHVAE-Se

    Spatiotemporal Disentanglement of Arteriovenous Malformations in Digital Subtraction Angiography

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    Although Digital Subtraction Angiography (DSA) is the most important imaging for visualizing cerebrovascular anatomy, its interpretation by clinicians remains difficult. This is particularly true when treating arteriovenous malformations (AVMs), where entangled vasculature connecting arteries and veins needs to be carefully identified.The presented method aims to enhance DSA image series by highlighting critical information via automatic classification of vessels using a combination of two learning models: An unsupervised machine learning method based on Independent Component Analysis that decomposes the phases of flow and a convolutional neural network that automatically delineates the vessels in image space. The proposed method was tested on clinical DSA images series and demonstrated efficient differentiation between arteries and veins that provides a viable solution to enhance visualizations for clinical use.Comment: Paper accepted for publication at SPIE Medical Imaging 202

    Reconstructing the somatotopic organization of the corticospinal tract remains a challenge for modern tractography methods

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    The corticospinal tract (CST) is a critically important white matter fiber tract in the human brain that enables control of voluntary movements of the body. Diffusion MRI tractography is the only method that enables the study of the anatomy and variability of the CST pathway in human health. In this work, we explored the performance of six widely used tractography methods for reconstructing the CST and its somatotopic organization. We perform experiments using diffusion MRI data from the Human Connectome Project. Four quantitative measurements including reconstruction rate, the WM-GM interface coverage, anatomical distribution of streamlines, and correlation with cortical volumes to assess the advantages and limitations of each method. Overall, we conclude that while current tractography methods have made progress toward the well-known challenge of improving the reconstruction of the lateral projections of the CST, the overall problem of performing a comprehensive CST reconstruction, including clinically important projections in the lateral (hand and face area) and medial portions (leg area), remains an important challenge for diffusion MRI tractography.Comment: 41 pages, 19 figure

    Case Report: Osteomesh Cranioplasty in a 20-Year-Old Trauma Patient

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    In this study, we present a case of a 20-year-old male who suffered from severe traumatic brain injury with intracerebral hemorrhage, thus requiring decompressive craniectomy. Five months after, the patient underwent cranioplasty with the use of Osteomesh, a scaffold bone filler in reconstructing the post-operative cranial defect.</jats:p

    Thoracic Spine Tumors and Minimal Access Spine Surgery

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    Stereotactic Radiosurgery for Metastatic Tumors of the Thoracic Spine

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    An Endoscopic Intraventricular Approach in Glioblastoma: A Case Report of an Adult Filipino with Periventricular Mass

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    In this study, we present a case of a 58-year-old female with a 1-year history of a generalized headache who suddenly developed left-sided weakness accompanied by disorientation and changes in mood and behaviour. A cranial MRI plain and contrast revealed a right thalamo-mesencephalic mass with beginning hydrocephalus. The patient underwent endoscopic transventricular septostomy, biopsy of thalamic mass with ventriculoperitoneal shunt insertion under endoscopic guidance. The official histopathology results revealed a WHO Grade IV glioblastoma. The patient was subsequently treated with chemoradiation.</jats:p

    Mapping Resection Progress by Tool-Tip Tracking during Brain Tumor Surgery for Real-Time Estimation of Residual Tumor

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    Surgical resection continues to be the primary initial therapeutic strategy in the treatment of patients with brain tumors. Computerized cranial neuronavigation based on preoperative imaging offers precision guidance during craniotomy and early tumor resection but progressively loses validity with brain shift. Intraoperative MRI (iMRI) and intraoperative ultrasound (iUS) can update the imaging used for guidance and navigation but are limited in terms of temporal and spatial resolution, respectively. We present a system that uses time-stamped tool-tip positions of surgical instruments to generate a map of resection progress with high spatial and temporal accuracy. We evaluate this system and present results from 80 cranial tumor resections. Regions of the preoperative tumor segmentation that are covered by the resection map (True Positive Tracking) and regions of the preoperative tumor segmentation not covered by the resection map (True Negative Tracking) are determined for each case. We compare True Negative Tracking, which estimates the residual tumor, with the actual residual tumor identified using iMRI. We discuss factors that can cause False Positive Tracking and False Negative Tracking, which underestimate and overestimate the residual tumor, respectively. Our method provides good estimates of the residual tumor when there is minimal brain shift, and line-of-sight is maintained. When these conditions are not met, surgeons report that it is still useful for identifying regions of potential residual.</jats:p
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