-
Interactive X-ray and proton therapy training and simulation
External beam X-ray therapy (XRT) and proton therapy (PT) are effective ...
read it
-
Towards automated patient data cleaning using deep learning: A feasibility study on the standardization of organ labeling
Data cleaning consumes about 80 clinical research projects. This is a mu...
read it
-
Novel Computational Linguistic Measures, Dialogue System and the Development of SOPHIE: Standardized Online Patient for Healthcare Interaction Education
In this paper, we describe the iterative participatory design of SOPHIE,...
read it
-
IMHOTEP - Virtual Reality Framework for Surgical Applications
Purpose: The data which is available to surgeons before, during and afte...
read it
-
Identifying Patient Groups based on Frequent Patterns of Patient Samples
Grouping patients meaningfully can give insights about the different typ...
read it
-
DeepRec: A deep encoder-decoder network for directly solving the PET reconstruction inverse problem
Positron emission tomography (PET) is a cornerstone of modern radiology....
read it
-
Flexible and Comprehensive Patient-Specific Mitral Valve Silicone Models with Chordae Tendinae Made From 3D-Printable Molds
Given the multitude of challenges surgeons face during mitral valve repa...
read it
OralViewer: 3D Demonstration of Dental Surgeries for Patient Education with Oral Cavity Reconstruction from a 2D Panoramic X-ray
Patient's understanding on forthcoming dental surgeries is required by patient-centered care and helps reduce fear and anxiety. Due to the gap of expertise between patients and dentists, conventional techniques of patient education are usually not effective for explaining surgical steps. In this paper, we present OralViewer – the first interactive application that enables dentist's demonstration of dental surgeries in 3D to promote patients' understanding. OralViewer takes a single 2D panoramic dental X-ray to reconstruct patient-specific 3D teeth structures, which are then assembled with registered gum and jaw bone models for complete oral cavity modeling. During the demonstration, OralViewer enables dentists to show surgery steps with virtual dental instruments that can animate effects on a 3D model in real-time. A technical evaluation shows our deep learning based model achieves a mean Intersection over Union (IoU) of 0.771 for 3D teeth reconstruction. A patient study with 12 participants shows OralViewer can improve patients' understanding of surgeries. An expert study with 3 board-certified dentists further verifies the clinical validity of our system.
READ FULL TEXT
Comments
There are no comments yet.