Bitmap-Based 3D Printed Models Are More Accurate
|
By HospiMedica International staff writers Posted on 16 Jul 2018 |

Image: A new method allows 3D models to be printed directly from the dataset (Photo courtesy of James Weaver).
A new study describes how extremely detailed physical three-dimensional (3D) models can be generated directly from volumetric data stacks.
Developed by Isomics (Cambridge, MA, USA), the Max Planck Institute of Colloids and Interfaces (MPIKG; Potsdam, Germany), the Wyss Institute for Biologically Inspired Engineering (Boston, MA, USA), and other institutions, the new 3D modeling technique is designed to solve the problem of current .stl surface mesh file formats, which are created using traditional image thresholding and isosurface extraction. Since such workflows are extremely time consuming, the resulting 3D-printed models can fail to accurately depict anatomical details of interest.
The new method uses a bitmap-based workflow that does not require a data segmentation step, and thus capable of generating rapid and highly accurate physical models directly from volumetric data. The threshold-free approach bypasses isosurface creation and traditional mesh slicing algorithms, limited file sizes, and artificial filtering or obscuring of data. In addition, using binary bitmap slices as input to the 3D printers allows for physical rendering of functional gradients native to the volumetric data sets, such as stiffness and optical transparency, providing biomechanically accurate models. The study was published on June 1, 2018, in 3D Printing and Additive Manufacturing.
“By lowering barriers to the visualization of fine details in biorealistic 3D-printed models, we hope to broaden access to this technology for a wide range of medical professionals and patients,” concluded senior author James Weaver, PhD, of the Wyss Institute, and colleagues. “When combined with high-resolution biological imaging data, multi-material medical 3D printing has the potential to improve treatment, enhance communication, and open new research avenues in precision medicine.”
3D-printed models for pre-surgical planning are used in almost all surgical subspecialties, allowing for a precise planning and simulation of the surgical approach, incision, and hardware sizing and placement. Physical 3D models can also serve as cutting guides for resection and as templates for the shaping of reconstruction hardware, implants, and prostheses so as to fit a patient's anatomy. 3D printing can also capture patient variability for education and training and provide easily interpretable visual guides for improving doctor–patient communication.
Related Links:
Isomics
Max Planck Institute of Colloids and Interfaces
Wyss Institute for Biologically Inspired Engineering
Developed by Isomics (Cambridge, MA, USA), the Max Planck Institute of Colloids and Interfaces (MPIKG; Potsdam, Germany), the Wyss Institute for Biologically Inspired Engineering (Boston, MA, USA), and other institutions, the new 3D modeling technique is designed to solve the problem of current .stl surface mesh file formats, which are created using traditional image thresholding and isosurface extraction. Since such workflows are extremely time consuming, the resulting 3D-printed models can fail to accurately depict anatomical details of interest.
The new method uses a bitmap-based workflow that does not require a data segmentation step, and thus capable of generating rapid and highly accurate physical models directly from volumetric data. The threshold-free approach bypasses isosurface creation and traditional mesh slicing algorithms, limited file sizes, and artificial filtering or obscuring of data. In addition, using binary bitmap slices as input to the 3D printers allows for physical rendering of functional gradients native to the volumetric data sets, such as stiffness and optical transparency, providing biomechanically accurate models. The study was published on June 1, 2018, in 3D Printing and Additive Manufacturing.
“By lowering barriers to the visualization of fine details in biorealistic 3D-printed models, we hope to broaden access to this technology for a wide range of medical professionals and patients,” concluded senior author James Weaver, PhD, of the Wyss Institute, and colleagues. “When combined with high-resolution biological imaging data, multi-material medical 3D printing has the potential to improve treatment, enhance communication, and open new research avenues in precision medicine.”
3D-printed models for pre-surgical planning are used in almost all surgical subspecialties, allowing for a precise planning and simulation of the surgical approach, incision, and hardware sizing and placement. Physical 3D models can also serve as cutting guides for resection and as templates for the shaping of reconstruction hardware, implants, and prostheses so as to fit a patient's anatomy. 3D printing can also capture patient variability for education and training and provide easily interpretable visual guides for improving doctor–patient communication.
Related Links:
Isomics
Max Planck Institute of Colloids and Interfaces
Wyss Institute for Biologically Inspired Engineering
Channels
Artificial Intelligence
view channel
Machine Learning Approach Enhances Liver Cancer Risk Stratification
Hepatocellular carcinoma, the most common form of primary liver cancer, is often detected late despite targeted surveillance programs. Current screening guidelines emphasize patients with known cirrhosis,... Read more
New AI Approach Monitors Brain Health Using Passive Wearable Data
Brain health spans cognitive and emotional functions and can fluctuate even in adults without diagnosed disease. Detecting early changes remains difficult in routine care and burdens specialty services... Read moreCritical Care
view channel
Automated IV Labeling Solution Improves Infusion Safety and Efficiency
Medication administration in high-acuity settings is often complicated by multiple concurrent infusions, making accurate line identification essential. In a 10-hospital intensive care unit study, 60% of... Read more
First-Of-Its-Kind AI Tool Detects Pulmonary Hypertension from Standard ECGs
Pulmonary hypertension is a progressive, life‑threatening disease that is frequently missed early because symptoms such as dyspnea are nonspecific and diagnostic delays can exceed two years.... Read moreSurgical Techniques
view channel
Continuous Monitoring with Wearables Enhances Postoperative Patient Safety
Postoperative hypoxemia on general surgical wards is common and often missed by intermittent vital sign checks. Undetected low oxygen levels can delay recovery and raise the risk of complications that... Read more
New Approach Enables Customized Muscle Tissue Without Biomaterial Scaffolds
Volumetric muscle loss is a traumatic loss of skeletal muscle that often leads to permanent functional impairment and limited reconstructive options. Current experimental strategies struggle to deliver... Read morePatient Care
view channel
Wearable Sleep Data Predict Adherence to Pulmonary Rehabilitation
Chronic obstructive pulmonary disease (COPD) is a long-term lung disorder that makes breathing difficult and often disturbs sleep, reducing energy for daily activities. Limited engagement in pulmonary... Read more
Revolutionary Automatic IV-Line Flushing Device to Enhance Infusion Care
More than 80% of in-hospital patients receive intravenous (IV) therapy. Every dose of IV medicine delivered in a small volume (<250 mL) infusion bag should be followed by subsequent flushing to ensure... Read moreBusiness
view channel







