Literature DB >> 22421857

Two- and three-dimensional models for the visualization of jaw tumors based on CT-MRI image fusion.

Jiewen Dai1, Xudong Wang, Yuefu Dong, Hongbo Yu, Danling Yang, Guofang Shen.   

Abstract

PURPOSE: The objective of this study was to demonstrate the feasibility of two- and three-dimensional (2D and 3D) models based on computed tomography-magnetic resonance imaging (CT-MRI) image fusion for the visualization of jaw tumors.
METHODS: Seven patients with proved jaw tumors were involved in this study. Both preoperative CT and MRI image data were acquired in DICOM format and imported into Surgicase CMF software, respectively. Then, the structures of interest, including tumor, muscle, and vascular, and so on, were segmented based on different thresholds and reconstructed in 3D texture. Finally, CT-MRI image fusion was semiautomatically performed to obtain the fused 2D images and 3D models for the visualization of jaw tumors. The qualities of the fused 2D images and 3D models together with their potential applications in surgical management of jaw tumors were qualitatively assessed. Besides, the importance of this imaging technique in terms of training junior surgeons was also discussed in detail.
RESULTS: Computed tomography-MRI image fusion clearly showed the relationship between tumors and adjacent structures. The qualitative assessment of fused images was satisfied.
CONCLUSIONS: Although there are some limitations, the 2D images and 3D models based on CT-MRI image fusion can provide a powerful tool for the visualization of jaw tumors. It may offer surgeons an assisted tool for the subject-specific preoperative planning, surgical simulation, and intraoperative guidance for jaw tumors. Furthermore, it also may offer valuable 2D and 3D models for training junior surgeons or provide a useful tool for surgeons to communicate well with patients.

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Year:  2012        PMID: 22421857     DOI: 10.1097/SCS.0b013e31824cd433

Source DB:  PubMed          Journal:  J Craniofac Surg        ISSN: 1049-2275            Impact factor:   1.046


  5 in total

1.  Diagnostic efficacy of CBCT, MRI, and CBCT-MRI fused images in distinguishing articular disc calcification from loose body of temporomandibular joint.

Authors:  Ying-Hui Wang; Gang Li; Ruo-Han Ma; Yan-Ping Zhao; Hao Zhang; Juan-Hong Meng; Chuang-Chuang Mu; Chong-Ke Sun; Xu-Chen Ma
Journal:  Clin Oral Investig       Date:  2020-08-12       Impact factor: 3.573

Review 2.  MRI and CBCT image registration of temporomandibular joint: a systematic review.

Authors:  Mohammed A Q Al-Saleh; Noura A Alsufyani; Humam Saltaji; Jacob L Jaremko; Paul W Major
Journal:  J Otolaryngol Head Neck Surg       Date:  2016-05-10

3.  Image Fusion of CT and MR with Sparse Representation in NSST Domain.

Authors:  Chenhui Qiu; Yuanyuan Wang; Huan Zhang; Shunren Xia
Journal:  Comput Math Methods Med       Date:  2017-11-09       Impact factor: 2.238

4.  Accuracy of Mixed Reality Combined With Surgical Navigation Assisted Oral and Maxillofacial Tumor Resection.

Authors:  Zu-Nan Tang; Lei-Hao Hu; Hui Yuh Soh; Yao Yu; Wen-Bo Zhang; Xin Peng
Journal:  Front Oncol       Date:  2022-01-14       Impact factor: 6.244

5.  CT-MRI Image Fusion-Based Computer-Assisted Navigation Management of Communicative Tumors Involved the Infratemporal-Middle Cranial Fossa.

Authors:  Rong Yang; Han Lu; Yang Wang; Xin Peng; Chi Mao; Zhiqiang Yi; Yuxing Guo; Chuanbin Guo
Journal:  J Neurol Surg B Skull Base       Date:  2020-02-07
  5 in total

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