Applications of ultrasound in the resection of brain tumors

R Sastry, WL Bi, S Pieper, S Frisken… - Journal of …, 2017 - Wiley Online Library
Neurosurgery makes use of preoperative imaging to visualize pathology, inform surgical
planning, and evaluate the safety of selected approaches. The utility of preoperative imaging …

The state of the art of visualization in mixed reality image guided surgery

M Kersten-Oertel, P Jannin, DL Collins - Computerized Medical Imaging …, 2013 - Elsevier
This paper presents a review of the state of the art of visualization in mixed reality image
guided surgery (IGS). We used the DVV (data, visualization processing, view) taxonomy to …

A probabilistic patch-based label fusion model for multi-atlas segmentation with registration refinement: application to cardiac MR images

W Bai, W Shi, DP O'regan, T Tong… - IEEE transactions on …, 2013 - ieeexplore.ieee.org
The evaluation of ventricular function is important for the diagnosis of cardiovascular
diseases. It typically involves measurement of the left ventricular (LV) mass and LV cavity …

[HTML][HTML] Automated white matter fiber tract identification in patients with brain tumors

LJ O'Donnell, Y Suter, L Rigolo, P Kahali, F Zhang… - NeuroImage: Clinical, 2017 - Elsevier
We propose a method for the automated identification of key white matter fiber tracts for
neurosurgical planning, and we apply the method in a retrospective study of 18 consecutive …

Challenges and opportunities of intraoperative 3D ultrasound with neuronavigation in relation to intraoperative MRI

DCDA Bastos, P Juvekar, Y Tie, N Jowkar… - Frontiers in …, 2021 - frontiersin.org
Introduction Neuronavigation greatly improves the surgeon's ability to approach, assess and
operate on brain tumors, but tends to lose its accuracy as the surgery progresses and …

Uncertainty‐aware Visualization in Medical Imaging‐A Survey

C Gillmann, D Saur, T Wischgoll… - Computer Graphics …, 2021 - Wiley Online Library
Medical imaging (image acquisition, image transformation, and image visualization) is a
standard tool for clinicians in order to make diagnoses, plan surgeries, or educate students …

Estimating medical image registration error and confidence: A taxonomy and sco** review

J Bierbrier, HE Gueziri, DL Collins - Medical Image Analysis, 2022 - Elsevier
Given that image registration is a fundamental and ubiquitous task in both clinical and
research domains of the medical field, errors in registration can have serious consequences …

Bayesian estimation of regularization and atlas building in diffeomorphic image registration

M Zhang, N Singh, PT Fletcher - International conference on information …, 2013 - Springer
This paper presents a generative Bayesian model for diffeomorphic image registration and
atlas building. We develop an atlas estimation procedure that simultaneously estimates the …

Bayesian characterization of uncertainty in intra-subject non-rigid registration

P Risholm, F Janoos, I Norton, AJ Golby… - Medical image …, 2013 - Elsevier
In settings where high-level inferences are made based on registered image data, the
registration uncertainty can contain important information. In this article, we propose a …

Multimodal image registration for preoperative planning and image-guided neurosurgical procedures

P Risholm, AJ Golby, W Wells - Neurosurgery Clinics, 2011 - neurosurgery.theclinics.com
Image registration is the process of transforming images acquired at different time points, or
with different imaging modalities, into the same coordinate system. It is an essential part of …