A review on multiplatform evaluations of semi-automatic open-source based image segmentation for cranio-maxillofacial surgery

Wallner, Jürgen; Schwaiger, Michael; Hochegger, Kerstin; Gsaxner, Christina; Zemann, Wolfgang; Egger, Jan

doi:10.1016/j.cmpb.2019.105102

Cited by 35 publications

(28 citation statements)

References 52 publications

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“… 28 The free and publicly available 3D-Slicer software platform enables semi-automated image segmentation and measurement using a region-growing algorithm, which has been validated as more accurate and stable than the manual slice-by-slice delineation approach. 29 30 Therefore, the use of the 3D-Slicer software platform with a region-growing approach is highly recommended to analyze the size of lesions for both clinical and research purposes. 29 30 The present study evaluated the reliability of the 3D-Slicer software platform using a region-growing algorithm to assess the volumetric characteristics of MRCs in different locations of the maxillary sinus, as well as their dimensions in relation to potential influencing factors including sex, age, and dentoalveolar pathologies.…”

Section: Discussionmentioning

confidence: 99%

“… 29 30 Therefore, the use of the 3D-Slicer software platform with a region-growing approach is highly recommended to analyze the size of lesions for both clinical and research purposes. 29 30 The present study evaluated the reliability of the 3D-Slicer software platform using a region-growing algorithm to assess the volumetric characteristics of MRCs in different locations of the maxillary sinus, as well as their dimensions in relation to potential influencing factors including sex, age, and dentoalveolar pathologies. The present analysis demonstrated that MRCs located on the sinus floor had a significantly larger volume, surface, and diameter than those located on the walls or roof.…”

Section: Discussionmentioning

confidence: 99%

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Volumetric analysis of mucous retention cysts in the maxillary sinus: A retrospective study using cone-beam computed tomography

et al. 2021

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Purpose The aim of this study was to evaluate the volumetric characteristics of mucous retention cysts (MRCs) in the maxillary sinus and to analyze potential associations of MRCs with dentoalveolar pathologies. Materials and Methods Cone-beam computed tomography (CBCT) scans exhibiting bilateral maxillary sinuses that were acquired from January 2016 to February 2019 were initially screened. A total of 227 scans (454 sinuses) that fulfilled the inclusion criteria were included. The presence, location, and volumetric characteristics of the diagnosed MRCs were evaluated on CBCT images using the 3D-Slicer software platform. The presence of MRCs was correlated with potential influencing factors including age, sex, and dentoalveolar pathology. For MRCs located on the sinus floor, factors with a potential impact on the volume, surface, and diameter were analyzed. Results An MRC was present in 130 (28.6%) of the 454 sinuses. Most MRCs were located on the sinus walls and floor. The mean MRC volume, surface, and diameter were 551.21±1368.04 mm 3 , 228.09±437.56 mm 2 , and 9.63±5.40 mm, respectively. Significantly more sinuses with associated endodontically treated teeth/periapical lesions were diagnosed with an MRC located on the sinus floor. For MRCs located on the sinus floor, endodontic status exhibited a significant association with increased volume, surface, and diameter. Conclusion Periapical lesions might be a contributing factor associated with the presence and volume of MRCs located on the sinus floor. The 3D-Slicer software platform was found to be a useful tool for clinicians to analyze the size of MRCs before surgical interventions such as sinus floor elevation procedures.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Volumetric analysis of mucous retention cysts in the maxillary sinus: A retrospective study using cone-beam computed tomography

et al. 2021

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“…EasyImplant software is still in its infancy, and some features are expected for further development. Firstly, while open‐sourced semi‐automatic image segmentation methods have been developed for cranio‐maxillofacial surgery, 23 the 3D reconstruction function based on preoperative image segmentation has not been added in EasyImplant. The software will be improved by the feature of 3D reconstruction algorithm.…”

Section: Discussionmentioning

confidence: 99%

Computer‐aided porous implant design for cranio‐maxillofacial defect restoration

Wang

Shi

Sun

et al. 2020

Robotics Computer Surgery

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The porous structure of the implant contributes significantly to prosthetic osseointegration in cranio-maxillofacial defect repair surgeries. This study establishes a system called EasyImplant that can easily and efficiently design customized craniomaxillofacial implant with porous structure. Healthy side of the skull model is used to obtain the initial implant model on defective side by mirroring method. According to

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“…The development of a robust semi-automated or even fully automated segmentation 43 is therefore recommended to accelerate this step. We refer the reader to a recent review of such methodologies for a full overview 44 .…”

Section: Yijom-4618; No Of Pagesmentioning

confidence: 99%

Registration of magnetic resonance and computed tomography images in patients with oral squamous cell carcinoma for three-dimensional virtual planning of mandibular resection and reconstruction

Polfliet

Hendriks

Guyader

et al. 2021

International Journal of Oral and Maxillofacial Surgery

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The aim of this study was to evaluate and present an automated method for registration of magnetic resonance imaging (MRI) and computed tomography (CT) or cone beam CT (CBCT) images of the mandibular region for patients with oral squamous cell carcinoma (OSCC). Registered MRI and (CB)CT could facilitate the three-dimensional virtual planning of surgical guides employed for resection and reconstruction in patients with OSCC with mandibular invasion. MRI and (CB)CT images were collected retrospectively from 19 patients. MRI images were aligned with (CB)CT images employing a rigid registration approach (stage 1), a rigid registration approach using a mandibular mask (stage 2), and two non-rigid

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A review on multiplatform evaluations of semi-automatic open-source based image segmentation for cranio-maxillofacial surgery

Cited by 35 publications

References 52 publications

Volumetric analysis of mucous retention cysts in the maxillary sinus: A retrospective study using cone-beam computed tomography

Volumetric analysis of mucous retention cysts in the maxillary sinus: A retrospective study using cone-beam computed tomography

Computer‐aided porous implant design for cranio‐maxillofacial defect restoration

Registration of magnetic resonance and computed tomography images in patients with oral squamous cell carcinoma for three-dimensional virtual planning of mandibular resection and reconstruction

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