Voronoi Methods for 3D Medial Axis Approximation

2008 ◽  
pp. 223-239 ◽  
Author(s):  
Nina Amenta ◽  
Sunghee Choi
Keyword(s):  
Medial Axis

scholarly journals Computerized image understanding system for reliable estimation of spinal curvature in idiopathic scoliosis

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ananthakrishna Thalengala ◽  
Shyamasunder N. Bhat ◽  
H. Anitha
Keyword(s):  
Spinal Deformity ◽  
Medial Axis ◽  
Image Understanding ◽  
Spinal Curvature ◽  
Absolute Difference ◽  
Computer Assisted ◽  
Type I ◽  
Observer Variability ◽  
Curvature Estimation ◽  
Accuracy And Repeatability

AbstractAnalysis of scoliosis requires thorough radiographic evaluation by spinal curvature estimation to completely assess the spinal deformity. Spinal curvature estimation gives orthopaedic surgeons an idea of severity of spinal deformity for therapeutic purposes. Manual intervention has always been an issue to ensure accuracy and repeatability. Computer assisted systems are semi-automatic and is still influenced by surgeon’s expertise. Spinal curvature estimation completely relies on accurate identification of required end vertebrae like superior end-vertebra, inferior end-vertebra and apical vertebra. In the present work, automatic extraction of spinal information central sacral line and medial axis by computerized image understanding system has been proposed. The inter-observer variability in the anatomical landmark identification is quantified using Kappa statistic. The resultant Kappa value computed between proposed algorithm and observer lies in the range 0.7 and 0.9, which shows good accuracy. Identification of the required end vertebra is automated by the extracted spinal information. Difference in inter and intra-observer variability for the state of the art computer assisted and proposed system are quantified in terms of mean absolute difference for the various types (Type-I, Type-II, Type-III, Type-IV, and Type-V) of scoliosis.

scholarly journals Spline-based medial axis transform representation of binary images

2021 ◽  
Author(s):  
Jieying Wang ◽  
Jiří Kosinka ◽  
Alexandru Telea
Keyword(s):  
Medial Axis ◽  
Medial Axis Transform ◽  
Binary Images

Virtual environment for processing medial axis representations of 3D nanoscale reconstructions of brain cellular structures

2019 ◽  
Author(s):  
Daniya Boges ◽  
Corrado Cali' ◽  
Pierre J. Magistretti ◽  
Markus Hadwiger ◽  
Ronell Sicat ◽  
...  
Keyword(s):  
Virtual Environment ◽  
Medial Axis ◽  
Cellular Structures

scholarly journals Appearance Shock Grammar for Fast Medial Axis Extraction From Real Images

2020 ◽  
Author(s):  
Charles-Olivier Dufresne Camaro ◽  
Morteza Rezanejad ◽  
Stavros Tsogkas ◽  
Kaleem Siddiqi ◽  
Sven Dickinson
Keyword(s):  
Medial Axis

Medial axis segmentation of cranial nerves using shape statistics-aware discrete deformable models

2019 ◽  
Vol 14 (11) ◽  
pp. 1955-1967
Author(s):  
Sharmin Sultana ◽  
Praful Agrawal ◽  
Shireen Elhabian ◽  
Ross Whitaker ◽  
Jason E. Blatt ◽  
...  
Keyword(s):  
Medial Axis ◽  
Cranial Nerves ◽  
Deformable Models ◽  
Shape Statistics

scholarly journals Optimization of Curvilinear Needle Trajectories for Transforamenal Hippocampotomy

2016 ◽  
Vol 13 (1) ◽  
pp. 15-22 ◽  
Author(s):  
David B. Comber ◽  
E. Bryn Pitt ◽  
Hunter B. Gilbert ◽  
Matthew W. Powelson ◽  
Emily Matijevich ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Medial Axis ◽  
Tumor Resection ◽  
Percutaneous Treatment ◽  
Thermal Therapy ◽  
Foramen Ovale ◽  
Worst Case ◽  
Seizure Disorders ◽  
Thermal Therapies ◽  
Concentric Tube Robot

Abstract BACKGROUND: The recently developed magnetic resonance imaging–guided laser-induced thermal therapy offers a minimally invasive alternative to craniotomies performed for tumor resection or for amygdalohippocampectomy to control seizure disorders. Current laser-induced thermal therapies rely on linear stereotactic trajectories that mandate twist-drill entry into the skull and potentially long approaches traversing healthy brain. The use of robotically driven, telescoping, curved needles has the potential to reduce procedure invasiveness by tailoring trajectories to the curved shape of the ablated structure and by enabling access through natural orifices. OBJECTIVE: To investigate the feasibility of using a concentric tube robot to access the hippocampus through the foramen ovale to deliver thermal therapy and thereby provide a percutaneous treatment for epilepsy without drilling the skull. METHODS: The skull and both hippocampi were segmented from dual computed tomography/magnetic resonance image volumes for 10 patients. For each of the 20 hippocampi, a concentric tube robot was designed and optimized to traverse a trajectory from the foramen ovale to and through the hippocampus from head to tail. RESULTS: Across all 20 cases, the mean distances (errors) between the hippocampus medial axis and backbone of the needle were 0.55, 1.11, and 1.66 mm for the best, mean, and worst case, respectively. CONCLUSION: These curvilinear trajectories would provide accurate transforamenal delivery of an ablation probe to typical hippocampus volumes. This strategy has the potential both to decrease the invasiveness of the procedure and to increase the completeness of hippocampal ablation.

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