22 research outputs found
Patient-Specific Real-Time Segmentation in Trackerless Brain Ultrasound
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
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
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
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
An Endoscopic Intraventricular Approach in Glioblastoma: A Case Report of an Adult Filipino with Periventricular Mass
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
Demographic and clinical profile of patients with mild cognitive impairment seen at St. Luke's medical center-global city memory service
Mapping Resection Progress by Tool-Tip Tracking during Brain Tumor Surgery for Real-Time Estimation of Residual Tumor
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
