Multidisciplinary AI Research Centre University of Peradeniya
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Biomedical Engineering and Wearables

Virtual Surgical Planning Tool for Mandibular and Maxillary Reconstruction

Reconstructing the jaw after cancer surgery or severe trauma is one of the most complex procedures in craniomaxillofacial surgery — and the software that plans it (Materialise ProPlan, KLS Martin IPS) costs tens of thousands of dollars, putting it out of reach for most hospitals in low-resource settings. This project is building a fully open-source virtual surgical planning (VSP) pipeline for mandible and maxilla reconstruction using fibula free flaps. Surgeons upload CBCT scans of the mandible, maxilla, and fibula; the system segments the bone, simulates the reconstruction, and automatically generates 3D-printable cutting guide STL files along with a surgical planning PDF report. Built on the open-source 3D Slicer platform, the tool aims to make advanced reconstructive planning accessible to hospitals worldwide, not just those who can afford commercial licenses — while contributing a citable, validated pipeline to the surgical research community.

Publications

4 papers from this project

2026

  1. Beyond Overlap: Topology-Aware Evaluation for Biomedical Image Segmentation (opens in a new tab)

    Minindu Liyanage, Mahesha Viduranga, Sanjula Senadeera, G M Roshan Indika Godaliyadda, Parakrama Ekanayake, Ruwan Jayasinghe

    IEEE 19th International Conference on Industrial and Information Systems (ICIIS)

    Conference Accepted DOI 10.1109/ICIIS69028.2026.11450668

  2. Empirical Framework for Efficient Voxel-to-Point Transformation in Medical Imaging (opens in a new tab)

    Thiksiga R, Roshan G Ragel, Roshan Indika Godaliyadda, Mervyn Parakrama B Ekanayake

    IEEE 44th International conference on consumer electronics (ICCE) -flagship

    Conference Accepted DOI 10.1109/ICCE67443.2026.11449834

  3. Reassessing Speckle Noise in Cone-Beam Computed Tomography Through Physics-Based Analysis of Image Formation and Stochastic Degradation

    Thiksiga R, Roshan G Ragel, Roshan Indika Godaliyadda, Mervyn Parakrama B Ekanayake, Vijitha R Herath

    RESCON 2026 ( Abstract only)

    Conference Accepted

Year not listed

  1. Multimodal Deep Convolutional Neural Network Pipeline for AI-Assisted Early Detection of Oral Cancer

    GAI Devindi, DMDR Dissanayake, SN Liyanage, FBAH Francis, MBD Pavithya, NS Piyarathne, PVKS Hettiarachchi, RMSGK Rasnayaka, Ruwan Duminda Jayasinghe, Roshan G Ragel, Isuru Nawinne

    IEEE Access

    Journal Accepted
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