scholarly journals Fully automatic 3D segmentation of the thoracolumbar spinal cord and the vertebral canal from T2-weighted MRI using K-means clustering algorithm

Spinal Cord ◽  
2020 ◽  
Vol 58 (7) ◽  
pp. 811-820 ◽  
Author(s):  
Sahar Sabaghian ◽  
Hamed Dehghani ◽  
Seyed Amir Hossein Batouli ◽  
Ali Khatibi ◽  
Mohammad Ali Oghabian
Keyword(s):  
Spinal Cord ◽  
Clustering Algorithm ◽  
3D Segmentation ◽  
Vertebral Canal ◽  
Fully Automatic

Combined partial lateral corpectomy and pediculectomy in a Dachshund

2020 ◽  
Vol 8 (1) ◽  
pp. e001042
Author(s):  
Koen Maurits Santifort
Keyword(s):  
Spinal Cord ◽  
Intervertebral Disc ◽  
Intraoperative Complications ◽  
Intervertebral Disc Herniation ◽  
Type I ◽  
Analgesic Treatment ◽  
Vertebral Canal ◽  
Compressive Myelopathy ◽  
Progressive Paraparesis ◽  
Disc Extrusion

A 5-year-old 8. 2-kg Dachshund was presented with progressive paraparesis and ataxia of several weeks’ duration and signs of pain persisting despite conservative treatment consisting of (cage) rest and analgesic treatment with gabapentin (12.2-mg/kg three times a day) and meloxicam (0.1-mg/kg once a day). Neurological examination was consistent with a T3–L3 myelopathy. CT images showed a mineralised mass in the ventrolateral (right) vertebral canal with severe compression of the spinal cord, taking up >50% of the vertebral canal. An intervertebral disc extrusion (Hansen type I intervertebral disc herniation) with compressive myelopathy was (presumptively) diagnosed. A combination of a partial lateral corpectomy and pediculectomy ('mini-hemilaminectomy') was performed. This surgical approach was deemed best suited to provide adequate access and to remove as much material as possible without compromising the spinal cord. There were no intraoperative complications. Signs did not recur postsurgically, and 2 weeks postsurgery, neurological signs were resolved.

Evaluation of epiduroscopy for detection of vertebral canal and spinal cord lesions in dogs

2016 ◽  
Vol 77 (7) ◽  
pp. 766-770
Author(s):  
Fernando L. Garcia-Pereira ◽  
Timo Prange ◽  
Aaron Seller ◽  
Victoria Obert
Keyword(s):  
Spinal Cord ◽  
Spinal Cord Lesions ◽  
Vertebral Canal

scholarly journals A Comparative Analysis of Surface Areas and Ratio of the Cervical Spinal Cord and the Vertebral Canal at the Same Levels Via MRI on Healthy Individuals

2014 ◽  
Vol 32 (4) ◽  
pp. 1171-1178
Author(s):  
Fatma Duman ◽  
Taner Ziylan ◽  
Demet Kiresi ◽  
Aynur Emine Cicekcibasi ◽  
Mustafa Büyükmumcu ◽  
...  
Keyword(s):  
Spinal Cord ◽  
Comparative Analysis ◽  
Cervical Spinal Cord ◽  
Healthy Individuals ◽  
Vertebral Canal ◽  
Surface Areas

scholarly journals Clusterdv, a simple density-based clustering method that is robust, general and automatic

2017 ◽  
Author(s):  
João C. Marques ◽  
Michael B. Orger
Keyword(s):  
Clustering Algorithm ◽  
Underlying Structure ◽  
Data Sets ◽  
Natural Phenomena ◽  
Cluster Number ◽  
Data Set ◽  
Density Peaks ◽  
Wide Range ◽  
Cluster Shape ◽  
Fully Automatic

AbstractHow to partition a data set into a set of distinct clusters is a ubiquitous and challenging problem. The fact that data varies widely in features such as cluster shape, cluster number, density distribution, background noise, outliers and degree of overlap, makes it difficult to find a single algorithm that can be broadly applied. One recent method, clusterdp, based on search of density peaks, can be applied successfully to cluster many kinds of data, but it is not fully automatic, and fails on some simple data distributions. We propose an alternative approach, clusterdv, which estimates density dips between points, and allows robust determination of cluster number and distribution across a wide range of data, without any manual parameter adjustment. We show that this method is able to solve a range of synthetic and experimental data sets, where the underlying structure is known, and identifies consistent and meaningful clusters in new behavioral data.Author summarIt is common that natural phenomena produce groupings, or clusters, in data, that can reveal the underlying processes. However, the form of these clusters can vary arbitrarily, making it challenging to find a single algorithm that identifies their structure correctly, without prior knowledge of the number of groupings or their distribution. We describe a simple clustering algorithm that is fully automatic and is able to correctly identify the number and shape of groupings in data of many types. We expect this algorithm to be useful in finding unknown natural phenomena present in data from a wide range of scientific fields.

scholarly journals Developmental morphometry and allometry of spinal cord

2020 ◽  
Vol 1 (1) ◽  
pp. 7-12
Author(s):  
Maya S. ◽  
Sreeranjini A. R. ◽  
Leena C. ◽  
Sunilkumar N.S. ◽  
Irshad A.
Keyword(s):  
Spinal Cord ◽  
Body Weight ◽  
Vertebral Column ◽  
Conus Medullaris ◽  
Entire Length ◽  
Column Length ◽  
Cylindrical Structure ◽  
Vertebral Canal ◽  
Epidural Fat ◽  
Body Parameters

In mammals, the spinal cord forms a long, roughly cylindrical structure with cervical and lumbar enlargements. It is anchored in the vertebral canal, enclosed by meninges. The cord is protected by the epidural fat and terminates as the conus medullaris, which varied in level at different stages of gestation. The weight and length of the cord have a significant correlation in between them and with age, body weight, CRL, and vertebral column length and other body parameters. All cord segments did not correspond to the corresponding vertebrae. Initially, the spinal cord extended the entire length of the vertebral canal. Later it loose its correspondence with vertebral segments as gestation proceeds.

scholarly journals Application of intraoperative electrophysiological monitoring in vertebral canal decompression surgery for acute spinal cord injury

2020 ◽  
Vol 48 (6) ◽  
pp. 030006052092420
Author(s):  
Qun-Xi Li ◽  
Xiao-Jing Zhao ◽  
Xiang-Nan Li ◽  
Ai-Jun Fu ◽  
Yun-He Zhang ◽  
...  
Keyword(s):  
Spinal Cord ◽  
Spinal Cord Injury ◽  
Surgical Treatment ◽  
Evoked Potentials ◽  
Acute Spinal Cord Injury ◽  
Decompression Surgery ◽  
Vertebral Canal ◽  
Group I ◽  
Cord Injury ◽  
Joint Monitoring

Objective This study aimed to evaluate the joint monitoring of somatosensory evoked potentials (SEPs) and motor evoked potentials (MEPs) in vertebral canal decompression surgery for acute spinal cord injury. Methods Twenty-four patients, who were admitted to the hospital for the surgical treatment of spinal cord injury with SEP and MEP monitoring, were assigned to the intraoperative monitoring group (group I). In addition, 24 patients who were admitted to the hospital for the surgical treatment of spinal cord injury without SEP or MEP monitoring were assigned to the control group (group C). Results In group I, there were significant changes before and after decompression surgery in the P40 latency and amplitude, and in the latency of MEP in the abductor hallucis brevis (AHB), in patients with improved spinal nerve function following surgery. In contrast, there were no significant differences in the P40 latency or amplitude, or the latency of MEP in the AHB, in patients who showed no improvement after surgery. Conclusion In vertebral canal decompression surgery for acute spinal cord injury, the application of joint MEP and SEP monitoring can timely reflect changes in spinal cord function.

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