Image-Guided Radiooncology: The Potential of Radiomics in Clinical Application

Object. Conventional imaging for neuronavigation is performed using high-resolution computerized tomography (CT) scanning or a T1-weighted isovoxel magnetic resonance (MR) sequence. The extension of some lesions, however, is depicted much better on T2-weighted MR images. A possible fusion process used to match low-resolution T2-weighted MR image set with a referenced CT or T1-weighted data set leads to poor resolution in the three-dimensional (3D) reconstruction and decreases accuracy, which is unacceptable for neuronavigation. The object of this work was to develop a 3D T2-weighted isovoxel sequence (3D turbo—spin echo [TSE]) for image-guided neuronavigation of the whole brain and to evaluate its clinical application. Methods. The authors performed a phantom study and a clinical trial on a newly developed T2-weighted isovoxel sequence, 3D TSE, for image-guided neuronavigation using a common 1.5-tesla MR imager (Siemens Sonata whole-body imager). The accuracy study and intraoperative image guidance were performed with the aid of the pointer-based Medtronic Stealth Station Treon. The 3D TSE data set was easily applied to the navigational setup and demonstrated a high registration accuracy during the experimental trial and during an initial prospective clinical trial in 25 patients. The sequence displayed common disposable skin fiducial markers and provided convincing delineation of lesions that appear hyperintense on T2-weighted images such as low-grade gliomas and cavernomas in its clinical application. Conclusions. Three-dimensional TSE imaging broadens the spectrum of navigational and intraoperative data sets, especially for lesions that appear hyperintense on T2-weighted images. The accuracy of its registration is very reliable and it enables high-resolution reconstruction in any orientation, maintaining the advantages of image-guided surgery.

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An algorithm for simultaneous image segmentation and nonrigid registration, with clinical application in image guided radiotherapy

2011 18th IEEE International Conference on Image Processing ◽

10.1109/icip.2011.6116542 ◽

2011 ◽

Cited By ~ 1

Author(s):

Chao Lu ◽

Jingjing Zhu ◽

James S. Duncan

Keyword(s):

Image Segmentation ◽

Clinical Application ◽

Nonrigid Registration ◽

Image Guided Radiotherapy ◽

Image Guided

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Audio Guidance for Optimal Placement of an Auditory Brainstem Implant with Magnetic Navigation and Maximum Clinical Application Accuracy

Proceedings of the 25th International Conference on Auditory Display (ICAD 2019) ◽

10.21785/icad2019.075 ◽

2019 ◽

Author(s):

Ognjen Miljic ◽

Zoltan Bardosi ◽

Wolfgang Freysinger

Keyword(s):

Clinical Application ◽

Visual Information ◽

Surgical Intervention ◽

Auditory Brainstem ◽

Optimal Placement ◽

Image Guided Surgery ◽

Optimal Position ◽

Guided Surgery ◽

Image Guided ◽

Auditory Brainstem Implant

For patients with ineffective auditory nerve and complete hearing loss, Auditory Brainstem Implant (ABI) presents diversity of hearing sensations to help with sound consciousness and communication. At present, during the surgical intervention, surgeons use pre-operative patient images to determine optimal position of an ABI on cochlear nucleus on brainstem. When found, the optimal position is marked and mentally mapped by the surgeon. Next, the surgeon tries to locate the optimal position in patient’s head again and places the ABI. The aim of this project is to provide the surgeon with maximum clinical application accuracy guidance to store the optimal position for the implant, and to provide intuitive audio guidance for positioning the implant at the stored optimal position. By using three audio methods, in combination with visual information on Image-Guided Surgery (IGS), surgeon should spend less time looking at the screen, and more time focused on the patient.

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