A new simple brain segmentation method for extracerebral intracranial tumors

Hou, Xiaolin; Yang, Dongdong; Li, Dingjun; Liu, Meijun; Zhou, Yuan; Shi, Min

doi:10.1371/journal.pone.0230754

Cited by 15 publications

(13 citation statements)

References 26 publications

(29 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A third approach, inspired by the recent work of Hou et al (Hou et al, 2020) is included for extra-axial lesions, where the lesion is zero-filled, though this is not based on virtual grafting. VBG uses various open-source Unix-based image processing programs in a fully automated pipeline, including ANTs (Avants et al, 2011) v2.1.0, FSL (Jenkinson et al, 2012) v6.0, MRtrix3 (Tournier et al, 2019) v3.0_RC3 and Freesurfer (Fischl, 2012) v6.0.…”

Section: Methodsmentioning

confidence: 99%

Virtual brain grafting: Enabling whole brain parcellation in the presence of large lesions

Radwan

Emsell

Blommaert

et al. 2020

Preprint

View full text Add to dashboard Cite

Brain atlases and templates are at the heart of neuroimaging analyses, for which they fa-cilitate multimodal registration, enable group comparisons and provide anatomical reference. However, as atlas-based approaches rely on correspondence mapping between images they perform poorly in the presence of structural pathology. Whilst several strategies exist to over-come this problem, their performance is often dependent on the type, size and homogeneity of any lesions present. We therefore propose a new solution, referred to as Virtual Brain Graft-ing (VBG), which is a fully-automated, open-source workflow to reliably parcellate MR images in the presence of a broad spectrum of focal brain pathologies, including large, bilateral, intra- and extra-axial, heterogeneous lesions with and without mass effect. The core of the VBG approach is the generation of a lesion-free T1-weighted input im-age which enables further image processing operations that would otherwise fail. Here we vali-dated our solution based on Freesurfer recon-all parcellation in a group of 10 patients with heterogeneous gliomatous lesions, and a realistic synthetic cohort of glioma patients (n=100) derived from healthy control data and patient data. We demonstrate that VBG outperforms a non-VBG approach assessed qualitatively by expert neuroradiologists and Mann-Whitney U tests to compare corresponding parcellations (real patients U(6,6) = 33, z = 2.738, P < .010, synthetic patients U(48,48) = 2076, z = 7.336, P < .001). Results were also quantitatively evaluated by comparing mean dice scores from the syn-thetic patients using one-way ANOVA (unilateral VBG = 0.894, bilateral VBG = 0.903, and non-VBG = 0.617, P < .001). Additionally, we used linear regression to show the influence of lesion volume, lesion overlap with, and distance from the Freesurfer volumes of interest, on labelling accuracy. VBG may benefit the neuroimaging community by enabling automated state-of-the-art MRI analyses in clinical populations, for example by providing input data for automated solu-tions for fiber tractography or resting-state fMRI analyses that could also be used in the clinic. To fully maximize its availability, VBG is provided as open software under a Mozilla 2.0 license (https://github.com/KUL-Radneuron/KUL_VBG).

show abstract

Section: Methodsmentioning

confidence: 99%

Virtual brain grafting: Enabling whole brain parcellation in the presence of large lesions

Radwan

Emsell

Blommaert

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…For instance, as previously mentioned, accurate 3D segmentation is a critical step in creating precisely reconstructed holograms to be integrated into the HoloLens headset from 2D MRI scans. Software such as FreeSurfer, Vbm, Ibaspm, and others provide the ability to segment the normal brain [33,34]. However, performing segmentation of the brain for patients with brain tumors is more complicated and often requires the combination of multiple modalities [34,35].…”

Section: Challenges and Limitationsmentioning

confidence: 99%

“…Software such as FreeSurfer, Vbm, Ibaspm, and others provide the ability to segment the normal brain [33,34]. However, performing segmentation of the brain for patients with brain tumors is more complicated and often requires the combination of multiple modalities [34,35]. Most radiosurgical treatments rely on effective detection and precise segmentation of lesions.…”

Section: Challenges and Limitationsmentioning

confidence: 99%

The Potential for Using Extended Reality Technology in Interdisciplinary Case Discussions and Case Planning in Stereotactic Radiosurgery: Proof-of-Concept Usability Study

Chidambaram¹,

Palumbo²,

Stifano³

et al. 2022

JMIR Neurotech

View full text Add to dashboard Cite

Background Extended reality (XR) is a term that captures a variety of techniques, such as augmented reality (AR) and mixed reality (MR), which allow users to interact with virtual models in real time. This technology has an emerging role in several applications within neurosurgery. XR can be useful in enhancing how radiosurgical cases are planned. Multidisciplinary team (MDT) review is an essential part of the radiosurgery case planning process; during case discussions, patient images are reviewed, usually in 2D or 3D modifications. The current commercially available platforms for this review need improvement. Objective We describe a novel visualization application, titled “NeuroVis” by our development team, which uses an XR Microsoft HoloLens headset to provide an interactive 3D visualization of a patient’s neuroanatomy in stereotactic surgery (SRS) case planning discussions. Methods We present examples of 6 common radiosurgery indications to demonstrate the utility of NeuroVis to solve common visualization hurdles in MDTs. Results The utility of NeuroVis is demonstrated through 6 common brain tumor SRS cases as a proof-of-concept illustration of the utility of NeuroVis to enhance radiosurgery case discussion by improving visualization of the standard neuroimaging used in radiosurgery treatment planning by MDTs. Conclusions The NeuroVis application provides several interactive features that produce an enhanced ability to place participating members of an interdisciplinary treatment team on the same visualization plane. This technology, by facilitating team discussions and case review, has the potential to improve the efficiency, efficacy, and safety of radiosurgery treatment planning and, as a result, to optimize patient care.

show abstract

“…Patients with brain tumors are unable to make use of brain segmentation software tools. Three-dimensional (3D) imagery and augmented reality are now being utilized in healthcare settings where augmented reality and virtual reality are present [2] . Figure 1 shows how brain tumors compress and displace normal brain tissues.…”

Section: Introductionmentioning

confidence: 99%

A Novel Analytical Model of Brain Tumor Based on Swarm Robotics

Abbas

2022

PAR

View full text Add to dashboard Cite

A tumor is referred to as “intracranial hard neoplasm” if it grows near the brain or central spinal vessel (neoplasm). In certain cases, it is possible that the responsible cells are neurons situated deep inside the brain’s structure. This article discusses a strategy for halting the progression of brain tumor. A precise and accurate analytical model of brain tumors is the foundation of this strategy. It is based on an algorithm known as kill chain interior point (KCIP), which is the result of a merger of kill chain and interior point algorithms, as well as a precise and accurate analytical model of brain tumors. The inability to obtain a clear picture of tumor cell activity is the biggest challenge in this endeavor. Based on the motion of swarm robots, which are considered a subset of artificial intelligence, this article proposes a new notion of this kind of behavior, which may be used in various situations. The KCIP algorithm that follows is used in the analytical model to limit the development of certain cell types. According to the findings, it seems that different KCIP speed ratios are beneficial in preventing the development of brain tumors. It is hoped that this study will help researchers better understand the behavior of brain tumors, so as to develop a new drug that is effective in eliminating the tumor cells.

show abstract

A new simple brain segmentation method for extracerebral intracranial tumors

Cited by 15 publications

References 26 publications

Virtual brain grafting: Enabling whole brain parcellation in the presence of large lesions

Virtual brain grafting: Enabling whole brain parcellation in the presence of large lesions

The Potential for Using Extended Reality Technology in Interdisciplinary Case Discussions and Case Planning in Stereotactic Radiosurgery: Proof-of-Concept Usability Study

A Novel Analytical Model of Brain Tumor Based on Swarm Robotics

Contact Info

Product

Resources

About