Fully automatic stitching of diffusion tensor images in spinal cord

Wang, Defeng; Kong, Youyong; Shi, Lin; Ahuja, Anil T.; Cheng, Jack C. Y.; Chu, Winnie C.W.

doi:10.1016/j.jneumeth.2012.06.026

Cited by 7 publications

(8 citation statements)

References 38 publications

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“…In previous studies, only part of the cord was examined because this was the intrinsic limitation of DTI by its relatively small FOV. 33,34 In this study, we have used an effective validated in-house method, 22 which enabled analysis of the entire spinal cord by stitching DTI acquired at different levels. As the diffusion tensor images of the entire spinal cord were stitched and connected together, ROIs could then be correctly positioned with reference to the vertebral and intervertebral levels.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Variation in Anisotropy and Diffusivity along the Medulla Oblongata and the Whole Spinal Cord in Adolescent Idiopathic Scoliosis: A Pilot Study Using Diffusion Tensor Imaging

Kong

Shi

Hui

et al. 2014

American Journal of Neuroradiology

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BACKGROUND AND PURPOSE:Disturbed somatosensory evoked potentials have been demonstrated in patients with adolescent idiopathic scoliosis (but this functional delay was found to originate above the C5-6 level, while the lower cord level was unaffected). Together with MR imaging observation of tonsillar ectopia and a relatively tethered cord, we hypothesized that there is disturbed mean diffusivity integrity along the spinal cord. In this study, advanced DTI was used to evaluate whether there was underlying decreased WM integrity within the brain stem and spinal cord in adolescent idiopathic scoliosis and any relationship to cerebellar tonsillar ectopia. Clinical impact on balance testing was also correlated.

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Section: Discussionmentioning

confidence: 99%

“…22 In brief, the adjacent diffusion tensor images were first aligned by using a feature-based registration algorithm. All the images were then warped to the same space and were stitched together by using an effective feathering approach with the Log-Euclidean metrics.…”

Section: Quantification Of Fiber Integrity Of the Spinal Cordmentioning

confidence: 99%

Variation in Anisotropy and Diffusivity along the Medulla Oblongata and the Whole Spinal Cord in Adolescent Idiopathic Scoliosis: A Pilot Study Using Diffusion Tensor Imaging

Kong

Shi

Hui

et al. 2014

American Journal of Neuroradiology

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“…Based on the three eigenvalues, several geometrical characteristics have been developed to capture the water diffusivity and anisotropy properties of the diffusion tensor [33]. The most commonly utilized properties are mean diffusivity (MD), fractional anisotropy (FA) and volume ratio (VR) [10], [34].…”

Section: Methodsmentioning

confidence: 99%

Adaptive Distance Metric Learning for Diffusion Tensor Image Segmentation

et al. 2014

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High quality segmentation of diffusion tensor images (DTI) is of key interest in biomedical research and clinical application. In previous studies, most efforts have been made to construct predefined metrics for different DTI segmentation tasks. These methods require adequate prior knowledge and tuning parameters. To overcome these disadvantages, we proposed to automatically learn an adaptive distance metric by a graph based semi-supervised learning model for DTI segmentation. An original discriminative distance vector was first formulated by combining both geometry and orientation distances derived from diffusion tensors. The kernel metric over the original distance and labels of all voxels were then simultaneously optimized in a graph based semi-supervised learning approach. Finally, the optimization task was efficiently solved with an iterative gradient descent method to achieve the optimal solution. With our approach, an adaptive distance metric could be available for each specific segmentation task. Experiments on synthetic and real brain DTI datasets were performed to demonstrate the effectiveness and robustness of the proposed distance metric learning approach. The performance of our approach was compared with three classical metrics in the graph based semi-supervised learning framework.

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“…Diagnostic evaluation of these structures is important for assessing pathology and a crucial tool to achieve this goal is imaging, particularly magnetic resonance (MR) imaging. However, it is difficult to acquire the whole C-T-L spine image at once due to the limited field-of-view (FOV) of receiver coil system [ 1 – 3 ]. Thus, image stitching method that made a single image through the separate images was widely used to perform the combining images, effectively [ 3 , 4 ].…”

Section: Introductionmentioning

confidence: 99%

“…However, it is difficult to acquire the whole C-T-L spine image at once due to the limited field-of-view (FOV) of receiver coil system [ 1 – 3 ]. Thus, image stitching method that made a single image through the separate images was widely used to perform the combining images, effectively [ 3 , 4 ]. Although using the multi-channel phased array C-T-L spine coil is enabled to acquire the C-T-L spine image at once, the use of image stitching method is necessary not only in C-T-L spine image and but also in whole-body MR image acquisition.…”

Section: Introductionmentioning

confidence: 99%

Possibility Study of Scale Invariant Feature Transform (SIFT) Algorithm Application to Spine Magnetic Resonance Imaging

Lee

Han

2016

PLoS ONE

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The purpose of this study is an application of scale invariant feature transform (SIFT) algorithm to stitch the cervical-thoracic-lumbar (C-T-L) spine magnetic resonance (MR) images to provide a view of the entire spine in a single image. All MR images were acquired with fast spin echo (FSE) pulse sequence using two MR scanners (1.5 T and 3.0 T). The stitching procedures for each part of spine MR image were performed and implemented on a graphic user interface (GUI) configuration. Moreover, the stitching process is performed in two categories; manual point-to-point (mPTP) selection that performed by user specified corresponding matching points, and automated point-to-point (aPTP) selection that performed by SIFT algorithm. The stitched images using SIFT algorithm showed fine registered results and quantitatively acquired values also indicated little errors compared with commercially mounted stitching algorithm in MRI systems. Our study presented a preliminary validation of the SIFT algorithm application to MRI spine images, and the results indicated that the proposed approach can be performed well for the improvement of diagnosis. We believe that our approach can be helpful for the clinical application and extension of other medical imaging modalities for image stitching.

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Fully automatic stitching of diffusion tensor images in spinal cord

Cited by 7 publications

References 38 publications

Variation in Anisotropy and Diffusivity along the Medulla Oblongata and the Whole Spinal Cord in Adolescent Idiopathic Scoliosis: A Pilot Study Using Diffusion Tensor Imaging

Variation in Anisotropy and Diffusivity along the Medulla Oblongata and the Whole Spinal Cord in Adolescent Idiopathic Scoliosis: A Pilot Study Using Diffusion Tensor Imaging

Adaptive Distance Metric Learning for Diffusion Tensor Image Segmentation

Possibility Study of Scale Invariant Feature Transform (SIFT) Algorithm Application to Spine Magnetic Resonance Imaging

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