Abstract: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.
“…The 4 remaining articles from the final selection phase were excluded for the following reasons: Measure accuracy of different multimodal image registration techniques [ 17 , 18 ]. Introducing multimodal image registration to visualize the tumors in the head and neck region [ 20 , 21 ]. Fig.…”
Section: Resultsmentioning
confidence: 99%
“… • Type of surface coil & voxel size were not reported. Dai et al 2012 [ 19 , 20 ] 1 patient (one side of TMJ) Contrast-enhanced CT: DICOM files. • Philips® multilayer spiral CT scanner; 140 kv; 287 mA; slice thickness 1.25 mm; matrix size 512X512.…”
Section: Screening Process and Data Collectionmentioning
PurposeThe purpose of the present review is to systematically and critically analyze the available literature regarding the importance, applicability, and practicality of (MRI), computerized tomography (CT) or cone-beam CT (CBCT) image registration for TMJ anatomy and assessment.Data sourcesA systematic search of 4 databases; MEDLINE, EMBASE, EBM reviews and Scopus, was conducted by 2 reviewers. An additional manual search of the bibliography was performed.Inclusion criteriaAll articles discussing the magnetic resonance imaging MRI and CT or CBCT image registration for temporomandibular joint (TMJ) visualization or assessment were included.Results and included articles’ characteristicsOnly 3 articles satisfied the inclusion criteria. All included articles were published within the last 7 years. Two articles described MRI to CT multimodality image registration as a complementary tool to visualize TMJ. Both articles used images of one patient only to introduce the complementary concept of MRI-CT fused image. One article assessed the reliability of using MRI-CBCT registration to evaluate the TMJ disc position and osseous pathology for 10 temporomandibular disorder (TMD) patients.ConclusionThere are very limited studies of MRI-CT/CBCT registration to reach a conclusion regarding its accuracy or clinical use in the temporomandibular joints.Electronic supplementary materialThe online version of this article (doi:10.1186/s40463-016-0144-4) contains supplementary material, which is available to authorized users.
“…The 4 remaining articles from the final selection phase were excluded for the following reasons: Measure accuracy of different multimodal image registration techniques [ 17 , 18 ]. Introducing multimodal image registration to visualize the tumors in the head and neck region [ 20 , 21 ]. Fig.…”
Section: Resultsmentioning
confidence: 99%
“… • Type of surface coil & voxel size were not reported. Dai et al 2012 [ 19 , 20 ] 1 patient (one side of TMJ) Contrast-enhanced CT: DICOM files. • Philips® multilayer spiral CT scanner; 140 kv; 287 mA; slice thickness 1.25 mm; matrix size 512X512.…”
Section: Screening Process and Data Collectionmentioning
PurposeThe purpose of the present review is to systematically and critically analyze the available literature regarding the importance, applicability, and practicality of (MRI), computerized tomography (CT) or cone-beam CT (CBCT) image registration for TMJ anatomy and assessment.Data sourcesA systematic search of 4 databases; MEDLINE, EMBASE, EBM reviews and Scopus, was conducted by 2 reviewers. An additional manual search of the bibliography was performed.Inclusion criteriaAll articles discussing the magnetic resonance imaging MRI and CT or CBCT image registration for temporomandibular joint (TMJ) visualization or assessment were included.Results and included articles’ characteristicsOnly 3 articles satisfied the inclusion criteria. All included articles were published within the last 7 years. Two articles described MRI to CT multimodality image registration as a complementary tool to visualize TMJ. Both articles used images of one patient only to introduce the complementary concept of MRI-CT fused image. One article assessed the reliability of using MRI-CBCT registration to evaluate the TMJ disc position and osseous pathology for 10 temporomandibular disorder (TMD) patients.ConclusionThere are very limited studies of MRI-CT/CBCT registration to reach a conclusion regarding its accuracy or clinical use in the temporomandibular joints.Electronic supplementary materialThe online version of this article (doi:10.1186/s40463-016-0144-4) contains supplementary material, which is available to authorized users.
“…Diagnosis and treatment based on various images have been also applied to a craniomaxillofacial surgical field with the development of CAS based on 3D images. The clinical application of this method not only diagnoses bone invasion but it also aids in surgery, as the size, location of diseases, and relationship of surrounding tissues are directly visualized in three dimensions [9,15]. In our study, all simulation procedures including determination of surgical margins were performed by an operator under confirmation of head and neck radiologists.…”
This study aimed to present and evaluate alternative lesion-specific mandibulectomy methods for preserving the mandibular anatomical structures as compared with the conventional virtual surgical plan. Fifteen patients who received segmental mandibulectomy were included in this study, and the following parameters were evaluated: (1) the disease-free bone margin, (2) the volume and surface between the tailor-made resection simulation and conventional resection simulation, and (3) the preserved mandibular anatomical structures. In all 15 patients, disease-free bone margins were confirmed by histopathology. Volumes of conventional resection simulation and tail-made resection simulation were 49,468.66 ± 14,007.96 mm 3 and 52,610.01 ± 13,755.33 mm 3 and the surfaces were 20,927.38 ± 4471.70 mm 2 and 22,356.49 ± 4185.73 mm 2 , respectively; these were statistically significant (both, p < 0.001). Mandibular dentition was partially preserved in six patients. Twelve of the 15 patients had changes in defect classification with preservation of the mandibular inferior border. In conclusion, alternative lesion-specific mandibulectomy was a less invasive method for effectively removing mandibular lesions while preserving the important anatomical structures of the mandible.
“…Multimodal medical image fusion, one of the major image fusion applications, draws increasing attention from medical academia [4, 5] and has been used for joint diagnosis, preoperative planning, intraoperative guidance, interventional treatment, and so on [6, 7]. CT and MRI techniques have been widely used in clinical diagnosis and treatment; nevertheless the accurate differences between lesion, bone, and peritumoral soft tissue sometimes are hardly obtained by the single CT or MR images [7]. Although CT images provide electron density map required for accurate radiation dose estimation and superior cortical bone contrast, they are limited in soft tissue contrast.…”
Multimodal image fusion techniques can integrate the information from different medical images to get an informative image that is more suitable for joint diagnosis, preoperative planning, intraoperative guidance, and interventional treatment. Fusing images of CT and different MR modalities are studied in this paper. Firstly, the CT and MR images are both transformed to nonsubsampled shearlet transform (NSST) domain. So the low-frequency components and high-frequency components are obtained. Then the high-frequency components are merged using the absolute-maximum rule, while the low-frequency components are merged by a sparse representation- (SR-) based approach. And the dynamic group sparsity recovery (DGSR) algorithm is proposed to improve the performance of the SR-based approach. Finally, the fused image is obtained by performing the inverse NSST on the merged components. The proposed fusion method is tested on a number of clinical CT and MR images and compared with several popular image fusion methods. The experimental results demonstrate that the proposed fusion method can provide better fusion results in terms of subjective quality and objective evaluation.
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