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MECHANICAL ENGINEER

Image-Based Anatomical Modeling for Medical Device R&D

Aaron Nolasco is a mechanical engineer focused on image-based anatomical modeling for biomedical research and medical device R&D. His experience includes medical image segmentation, CT/DICOM analysis, Hounsfield Unit thresholding, and the creation of 3D anatomical models for measurement, visualization, and simulation preparation. His interests include organ morphology, tortuosity metrics, geometric morphometrics, and how imaging quality and dosimetry influence the accuracy of simulation-ready models.

Professional Trajectory

Aerospace Machinist [launch and development], Sylmar CA

Use of precision Machining tools to craft aerospace windshields from composite materials like poly-carbonate, and acrylic as well as tempered glass. familiarity with blue prints and advanced pneumatic manufacturing tools. Utilization of LEAN optimization. 

Student Assistant [Research] , Biomechanics Research Lab , San Francisco State University 

• Image-based anatomical modeling: turning CT/MRI DICOM data into segmented 3D anatomical models, STL files, and geometry that can be prepared for CAD and simulation workflows.

• Organ morphology and function: studying complex lumen morphology, tortuosity, perimeter-to-area ratios, and geometric variation as they relate to normal function, surgical planning, and device-relevant anatomy.

• Threshold-based material isolation: using Hounsfield Unit and grayscale thresholding to isolate specific materials or regions of interest in 3D CT volumes so they can be studied separately.

• Model accuracy and simulation readiness: understanding how imaging quality, acquisition limits, dosimetry, segmentation assumptions, and geometric morphometrics influence the accuracy of downstream computational models.

2019 - 2021

2022 - Present

Technical Expertise

Medical Image Segmentation

Research including segmentation and analysis of Geometric Morphometrics of Organ Samples 

3D Anatomical Modeling

Mesh repair and analysis for CAD Simulation 

Morphology and measurement

ortuosity metrics, perimeter-to-area ratios, geometric morphometrics, lumen morphology, region-of-interest analysis, anatomical landmarks, model assumptions, validation checks.

Workflow analysis

Optimization of workflow and consolidation of software pipelines 

Initiate Collaboration

Bay Area, California

please submit follow up for collaboration

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