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synopsys simpleware scanip  (Simpleware Ltd)

 
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    Simpleware Ltd synopsys simpleware scanip
    Workflow for developing multi-material 3D-printed anatomical phantoms from CT imaging data. <t>A</t> <t>DICOM</t> stack of 2D cross-sectional CT images was imported into Synopsys Simpleware <t>ScanIP</t> for image processing, segmentation, and mask refinement. Bone and soft tissue components were segmented separately and exported as STL files following decimation. The bone STL model was imported directly into Autodesk Fusion 360 for print preparation, while the soft tissue shell underwent mesh conversion and surface processing prior to mold generation.
    Synopsys Simpleware Scanip, supplied by Simpleware Ltd, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/image+processing+software+program+scanip/scanip+simpleware+synopsys/pmc12894921-100-11-12
    Average 86 stars, based on 1 article reviews
    synopsys simpleware scanip - by Bioz Stars, 2026-09
    86/100 stars

    Images

    1) Product Images from "Scalable DICOM 3D-printed phantoms mimicking marine mammal bone and soft tissue"

    Article Title: Scalable DICOM 3D-printed phantoms mimicking marine mammal bone and soft tissue

    Journal: Scientific Reports

    doi: 10.1038/s41598-026-36154-5

    Workflow for developing multi-material 3D-printed anatomical phantoms from CT imaging data. A DICOM stack of 2D cross-sectional CT images was imported into Synopsys Simpleware ScanIP for image processing, segmentation, and mask refinement. Bone and soft tissue components were segmented separately and exported as STL files following decimation. The bone STL model was imported directly into Autodesk Fusion 360 for print preparation, while the soft tissue shell underwent mesh conversion and surface processing prior to mold generation.
    Figure Legend Snippet: Workflow for developing multi-material 3D-printed anatomical phantoms from CT imaging data. A DICOM stack of 2D cross-sectional CT images was imported into Synopsys Simpleware ScanIP for image processing, segmentation, and mask refinement. Bone and soft tissue components were segmented separately and exported as STL files following decimation. The bone STL model was imported directly into Autodesk Fusion 360 for print preparation, while the soft tissue shell underwent mesh conversion and surface processing prior to mold generation.

    Techniques Used: Imaging

    Related Articles

    Imaging:

    Article Title: Scalable DICOM 3D-printed phantoms mimicking marine mammal bone and soft tissue
    Article Snippet: A DICOM stack of 2D cross-sectional CT images was imported into Synopsys Simpleware ScanIP for image processing, segmentation, and mask refinement.

    Article Title: Scalable DICOM 3D-printed phantoms mimicking marine mammal bone and soft tissue.
    Article Snippet: A DICOM stack of 2D cross-sectional CT images was imported into Synopsys Simpleware ScanIP for image processing, segmentation, and mask refinement.



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    The process for generation of a <t>3D</t> model. A: Computed tomographic images of the nasal passages were acquired in <t>a</t> <t>transverse</t> image plane using multi-detector computed tomography. A representative image of the caudal nasal passage at the level of the choanae is shown. B: Threshold segmentation in the ScanIP program isolated the airways (blue) using a threshold of −1024 to −450 Hounsfield units (HU). C: A fill threshold algorithm in ScanIP was used to generate a solid model of the nasal passages which was then sub-divided into 6-sided tetrahedral elements and exported to the COMOSL Multiphysics software package. D: 3D model of the nasal passages within the COMSOL Multiphysics package with E: Zoomed in image of the 3D model and tetrahedral mesh elements used in the computational fluid dynamic analysis. Note that each tetrahedral element has 6 sides or edges and the minimum edge length controls the mesh density where a smaller minimum edge length leads to a more dense mesh and more elements.
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    Image Search Results


    The process for generation of a 3D model. A: Computed tomographic images of the nasal passages were acquired in a transverse image plane using multi-detector computed tomography. A representative image of the caudal nasal passage at the level of the choanae is shown. B: Threshold segmentation in the ScanIP program isolated the airways (blue) using a threshold of −1024 to −450 Hounsfield units (HU). C: A fill threshold algorithm in ScanIP was used to generate a solid model of the nasal passages which was then sub-divided into 6-sided tetrahedral elements and exported to the COMOSL Multiphysics software package. D: 3D model of the nasal passages within the COMSOL Multiphysics package with E: Zoomed in image of the 3D model and tetrahedral mesh elements used in the computational fluid dynamic analysis. Note that each tetrahedral element has 6 sides or edges and the minimum edge length controls the mesh density where a smaller minimum edge length leads to a more dense mesh and more elements.

    Journal: Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association

    Article Title: Quantification of Nasal Airflow Resistance In English Bulldogs Using Computed Tomography and Computational Fluid Dynamics

    doi: 10.1111/vru.12531

    Figure Lengend Snippet: The process for generation of a 3D model. A: Computed tomographic images of the nasal passages were acquired in a transverse image plane using multi-detector computed tomography. A representative image of the caudal nasal passage at the level of the choanae is shown. B: Threshold segmentation in the ScanIP program isolated the airways (blue) using a threshold of −1024 to −450 Hounsfield units (HU). C: A fill threshold algorithm in ScanIP was used to generate a solid model of the nasal passages which was then sub-divided into 6-sided tetrahedral elements and exported to the COMOSL Multiphysics software package. D: 3D model of the nasal passages within the COMSOL Multiphysics package with E: Zoomed in image of the 3D model and tetrahedral mesh elements used in the computational fluid dynamic analysis. Note that each tetrahedral element has 6 sides or edges and the minimum edge length controls the mesh density where a smaller minimum edge length leads to a more dense mesh and more elements.

    Article Snippet: First, the raw MDCT bone algorithm transverse dataset was imported into a three-dimensional (3D) image processing and model generation software program (ScanIP, Synopsys, Inc. Simpleware, Version 7.0, Chantilly, VA).

    Techniques: Computed Tomography, Isolation, Software

    Asymmetry of pressure between the right and left nasal passages was identified in two dogs. A: Rostrocaudal orientation; smoothed 3D model of the airway showing the right nasal cavity having a higher pressure compared to the left nasal passage. The yellow color depicts a higher pressure relative to the blue color-coded left nasal cavity. B: Ventrodorsal orientation; smoothed 3D model airway shows the differing pressures within the rostral nasal passages. The rostral nares are at the top of the image. C: Transverse CT image of a nasal cavity with asymmetry between the nasal cavities. Dog is in ventral (V) recumbency, the right side (R) of the dog is to the left of the image. Bone algorithm. Window width: 2500 Window level: 250.

    Journal: Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association

    Article Title: Quantification of Nasal Airflow Resistance In English Bulldogs Using Computed Tomography and Computational Fluid Dynamics

    doi: 10.1111/vru.12531

    Figure Lengend Snippet: Asymmetry of pressure between the right and left nasal passages was identified in two dogs. A: Rostrocaudal orientation; smoothed 3D model of the airway showing the right nasal cavity having a higher pressure compared to the left nasal passage. The yellow color depicts a higher pressure relative to the blue color-coded left nasal cavity. B: Ventrodorsal orientation; smoothed 3D model airway shows the differing pressures within the rostral nasal passages. The rostral nares are at the top of the image. C: Transverse CT image of a nasal cavity with asymmetry between the nasal cavities. Dog is in ventral (V) recumbency, the right side (R) of the dog is to the left of the image. Bone algorithm. Window width: 2500 Window level: 250.

    Article Snippet: First, the raw MDCT bone algorithm transverse dataset was imported into a three-dimensional (3D) image processing and model generation software program (ScanIP, Synopsys, Inc. Simpleware, Version 7.0, Chantilly, VA).

    Techniques: