Interactive curved planar reformation based on snake model

Lv, Xinrong; Gao, Xinbo; Zou, Hua

doi:10.1016/j.compmedimag.2008.08.002

Cited by 12 publications

(9 citation statements)

References 13 publications

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“…In addition, the extraction method adopted needs also to take the constant fascicle splitting/merging situation into account. In the current work, the nerve fascicle edges were extracted automatically by using the gradient vector flow (GVF)-Snake model 18 19 20 . Since the convergence speed of the classical GVF-Snake model is slow 21 22 23 , an improved GVF-Snake model was proposed in this study, in which the tangent energy part was removed from the GVF-Snake model since it was nearly zero and did not need to be calculated.…”

Section: Resultsmentioning

confidence: 99%

“…Firstly, after continuous, serial histological section images are obtained, the numbers of nerve fascicles and the central positions of nerve fascicles on section images are determined, and pixel groups of nerve fascicles are extracted. Secondly, the nerve fascicle edges are extracted one by one by using the envelope method 18 19 20 , and the obtained edges are merged onto the original section images so to obtain continuous and smooth edges for the nerve fascicles. Thirdly, this study has achieved automatic and consistent classification of nerve fascicles in different section images by using image processing and pattern recognition methods.…”

Section: Discussionmentioning

confidence: 99%

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Three-dimensional Reconstruction of Peripheral Nerve Internal Fascicular Groups

Zhong

Wang

Dong

et al. 2015

Sci Rep

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Peripheral nerves are important pathways for receiving afferent sensory impulses and sending out efferent motor instructions, as carried out by sensory nerve fibers and motor nerve fibers. It has remained a great challenge to functionally reconnect nerve internal fiber bundles (or fascicles) in nerve repair. One possible solution may be to establish a 3D nerve fascicle visualization system. This study described the key technology of 3D peripheral nerve fascicle reconstruction. Firstly, fixed nerve segments were embedded with position lines, cryostat-sectioned continuously, stained and imaged histologically. Position line cross-sections were identified using a trained support vector machine method, and the coordinates of their central pixels were obtained. Then, nerve section images were registered using the bilinear method, and edges of fascicles were extracted using an improved gradient vector flow snake method. Subsequently, fascicle types were identified automatically using the multi-directional gradient and second-order gradient method. Finally, a 3D virtual model of internal fascicles was obtained after section images were processed. This technique was successfully applied for 3D reconstruction for the median nerve of the hand-wrist and cubital fossa regions and the gastrocnemius nerve. This nerve internal fascicle 3D reconstruction technology would be helpful for aiding peripheral nerve repair and virtual surgery.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Three-dimensional Reconstruction of Peripheral Nerve Internal Fascicular Groups

Zhong

Wang

Dong

et al. 2015

Sci Rep

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“…Lv et al [LGZ08] present an approach that determines a contour that is easy to initialize for a gradient vector flow (GVF) snake model in order to segment the cross‐section of a blood vessel. Their approach requires a user‐specified contour that is approximated by a B‐spline.…”

Section: Application: Circulation Systemmentioning

confidence: 99%

A Survey of Flattening‐Based Medical Visualization Techniques

Kreiser

Meuschke

Mistelbauer

et al. 2018

Computer Graphics Forum

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In many areas of medicine, visualization research can help with task simplification, abstraction or complexity reduction. A common visualization approach is to facilitate parameterization techniques which flatten a usually 3D object into a 2D plane. Within this state of the art report (STAR), we review such techniques used in medical visualization and investigate how they can be classified with respect to the handled data and the underlying tasks. Many of these techniques are inspired by mesh parameterization algorithms which help to project a triangulation in R 3 to a simpler domain in R 2 . It is often claimed that this makes complex structures easier to understand and compare by humans and machines. Within this STAR we review such flattening techniques which have been developed for the analysis of the following medical entities: the circulation system, the colon, the brain, tumors, and bones. For each of these five application scenarios, we have analyzed the tasks and requirements, and classified the reviewed techniques with respect to a developed coding system. Furthermore, we present guidelines for the future development of flattening techniques in these areas.

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“…This method is robust, accurate, and it also has lower processing time than manual contour delineation. In [80], a curved planar reformation method is presented for tubular structures.…”

Section: Other Applicationsmentioning

confidence: 99%

Review of Parametric Active Contour Models in Image Processing

Guo¹,

Wang²,

Ma³

et al. 2013

JCIT

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The parametric active contour models are widely used in computer vision and image processing. This paper reviews the research status of parametric active contour models in the past decade. The parametric active contour models have gained wide attention for a long time. First, the traditional snake and some typical modified models are introduced. Second, the parametric active contour models applications in the field of image processing are reviewed. Finally, the future work of parametric active contour models is pointed out.

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Interactive curved planar reformation based on snake model

Cited by 12 publications

References 13 publications

Three-dimensional Reconstruction of Peripheral Nerve Internal Fascicular Groups

Three-dimensional Reconstruction of Peripheral Nerve Internal Fascicular Groups

A Survey of Flattening‐Based Medical Visualization Techniques

Review of Parametric Active Contour Models in Image Processing

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