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Multimodal 3-D reconstruction of human anatomical structures using SurLens Visualization System
A M Adeshina1, R Hashim, N E A Khalid
1Faculty of Computer Science & Information Technology, Universiti Tun Hussein Onn Malaysia, 86400, Parit Raja, Batu Pahat, Johor, Malaysia. codedengineer@yahoo.com
Interdisciplinary Sciences, Computational Life Sciences
|April 23, 2013
Summary
This study adapted the SurLens system for 3-D visualization of human anatomy from CT and MR images, aiding medical diagnosis without segmentation. It successfully identified abnormalities in brain and abdominal scans, showcasing its potential as a multimodal visualization tool.
Area of Science:
- Medical Imaging
- Computer-Aided Diagnosis
- 3D Visualization
Background:
- Radiologists and surgeons interpret 2D medical images, which is time-consuming and error-prone.
- Existing 3D reconstruction systems are computationally intensive and costly.
- Previous work demonstrated SurLens for brain vascular reconstruction using MRA.
Purpose of the Study:
- To adapt the SurLens system for 3D visualization of human anatomical structures using CT and MR images.
- To enable visualization of abnormalities without requiring prior image segmentation.
- To evaluate SurLens as a multimodal 3D visualization system for medical diagnosis.
Main Methods:
- Adapted the SurLens visualization system for use with CT and MR image modalities.
- Utilized brain MR datasets (T1-FLASH, T2-Weighted, DTI, T1-MPRAGE) and CT abdominal pelvic datasets.
- Visualized anatomical structures and abnormalities without performing segmentation.
Main Results:
- Achieved 3D visualization of human anatomical structures from both MR and CT images.
- Successfully visualized abnormalities including stroke, penetrating brain injury, and walderstrom's macroglobulinemia in MR brain images.
- Demonstrated visualization of potential abnormalities in CT abdominal pelvic scans.
- Confirmed SurLens' functionality as a 3D multimodal visualization system.
Conclusions:
- The adapted SurLens system effectively visualizes 3D human anatomy and abnormalities from multimodal CT and MR images.
- Visualization without segmentation simplifies the process and broadens applicability.
- SurLens shows promise as a valuable tool for medical diagnosis and treatment planning.
