computational anatomy toolbox 12 cat12  (MathWorks Inc)

Journal: Pediatric Radiology

Article Title: Caution: shortcomings of traditional segmentation methods from magnetic resonance imaging brain scans intended for 3-dimensional surface modelling in children with pathology

doi: 10.1007/s00247-023-05692-9

Figure Lengend Snippet: A 5-year-and-8-month-old girl with a normal magnetic resonance imaging brain scan. a , b Two successful segmentations produced using the Computational Anatomy Toolbox version 12 segmentation method in the 3-dimensional Standard Tessellation Language. The volume model ( a ) is visually higher in quality and demonstrates more cortical gyral and sulcal detail than the volume model ( b ) which shows flattened and less defined gyri. Gyral and sulcal detail is an important component of brain surface demonstration

Article Snippet: We used three methods accessible from the MatLab (The MathWorks Inc., Natick, MA) computing environment: Computational Anatomy Toolbox version 12 (CAT12), Statistical Parametric Mapping version 12 (SPM12) and MRTool.

Techniques: Magnetic Resonance Imaging, Produced

Journal: Pediatric Radiology

Article Title: Caution: shortcomings of traditional segmentation methods from magnetic resonance imaging brain scans intended for 3-dimensional surface modelling in children with pathology

doi: 10.1007/s00247-023-05692-9

Figure Lengend Snippet: Three default settings of Statistical Parametric Mapping version 12 (SPM12) and MRTool segmentation methods and corresponding recommended manual edits according to scan class (presence and type of pathology)

Article Snippet: We used three methods accessible from the MatLab (The MathWorks Inc., Natick, MA) computing environment: Computational Anatomy Toolbox version 12 (CAT12), Statistical Parametric Mapping version 12 (SPM12) and MRTool.

Techniques:

Journal: Pediatric Radiology

Article Title: Caution: shortcomings of traditional segmentation methods from magnetic resonance imaging brain scans intended for 3-dimensional surface modelling in children with pathology

doi: 10.1007/s00247-023-05692-9

Figure Lengend Snippet: Default settings in Computational Anatomy Toolbox version 12 (CAT12) segmentation method and corresponding recommendations for all classes (presence and type of pathology)

Article Snippet: We used three methods accessible from the MatLab (The MathWorks Inc., Natick, MA) computing environment: Computational Anatomy Toolbox version 12 (CAT12), Statistical Parametric Mapping version 12 (SPM12) and MRTool.

Techniques:

Journal: Pediatric Radiology

Article Title: Caution: shortcomings of traditional segmentation methods from magnetic resonance imaging brain scans intended for 3-dimensional surface modelling in children with pathology

doi: 10.1007/s00247-023-05692-9

Figure Lengend Snippet: Individual and combined success rates of Statistical Parametric Mapping version 12 (SPM12), Computational Anatomy Toolbox version 12 ( CAT12) and MRTool default and manually edited settings across the four classes of magnetic resonance imaging brain scans N/A not applicable

Article Snippet: We used three methods accessible from the MatLab (The MathWorks Inc., Natick, MA) computing environment: Computational Anatomy Toolbox version 12 (CAT12), Statistical Parametric Mapping version 12 (SPM12) and MRTool.

Techniques: Magnetic Resonance Imaging

Journal: Pediatric Radiology

Article Title: Caution: shortcomings of traditional segmentation methods from magnetic resonance imaging brain scans intended for 3-dimensional surface modelling in children with pathology

doi: 10.1007/s00247-023-05692-9

Figure Lengend Snippet: A 2-year-and-2-month-old boy who suffered an acute-profound perinatal hypoxic ischemic injury. a – c Multiplanar coronal ( a ), sagittal ( b ) and axial ( c ) reconstructions of T1-weighted magnetic resonance images demonstrate bilateral, relatively symmetric peri-Rolandic volume loss ( arrows in a and b ). d High-fidelity three-dimensional surface mesh achieved by generating a standard tesselation language model using the Statistical Parametric Mapping version 12 technique accurately demonstrates the fine cortical detail at the atrophic peri-Rolandic regions ( arrows )

Article Snippet: We used three methods accessible from the MatLab (The MathWorks Inc., Natick, MA) computing environment: Computational Anatomy Toolbox version 12 (CAT12), Statistical Parametric Mapping version 12 (SPM12) and MRTool.

Techniques:

Journal: Pediatric Radiology

Article Title: Caution: shortcomings of traditional segmentation methods from magnetic resonance imaging brain scans intended for 3-dimensional surface modelling in children with pathology

doi: 10.1007/s00247-023-05692-9

Figure Lengend Snippet: Standard tessellation language surface model examples depicting unsuccessful segmentation of an MRI of the brain in a 5-year-and-2-month-old boy with default settings for ( a ) Computational Anatomy Toolbox version 12, ( b ) Statistical Parametric Mapping version 12, and ( c ) MRTool segmentations. a Shows a large open hole in the volume ( arrow ). b Compared to ( a ), this image shows a  smaller hole in the volume ( arrow ). c There is diffuse exclusion of outer gray matter (incorrect segmentation of the gray matter) in the entire volume, as demonstrated by the extreme irregular sulcal pattern when compared to the models in ( a ) and ( b )

Article Snippet: We used three methods accessible from the MatLab (The MathWorks Inc., Natick, MA) computing environment: Computational Anatomy Toolbox version 12 (CAT12), Statistical Parametric Mapping version 12 (SPM12) and MRTool.

Techniques: