International Conference on Engineering Education (ICEE), Madinah, Kingdom of Saudi Arabia, 25-27 December 2011

UTILIZATION OF AUGMENTED REALITY FOR MEDICAL STUDENTS COLLABORATIVE LEARNING

ABSTRACT

The main aim of this project is to incorporate and utilize new technology “Augmented Reality” in order to develop an Interactive Augmented Reality application that can be implement in the universities and colleges with the aim of increase the level of understanding of the target student to particular area due to visualization from different point of view will offer the ability for students to observe real world objects through a hand held display or normal camera, and able to see virtual content superimposed over the real environment. Learning through direct experience is considered to be more effective than just passively receiving information. Augmented Reality is used to create interactive application with the dynamic contents combination with present visual and audio information to users. Augmented Reality is a low-cost technology that enables the merging of printed materials with dynamic computer graphics. In this paper we introduced a basic platform of collaborative learning using Augmented Reality approach which known as Magic Book that connected traditional books with virtual content in real time specially design for Medical students. The book stays like it is where showing text explaining about cardiology and 2 dimensional images as guideline. What really has shown the difference between a magic book and traditional book is that magic book can be extended by 3D-content. If one uses the Magic Book in combination with a standard-PC, and a webcam, virtual 3D-content appears on the marker over the pages of the book. This content can be turned intuitively and watched from all sides like a real object. Hence, we do not need to imagine.There are three sections for this magic book. Each section is attached with different objects. First section will be displaying the 3 dimensional heart models. The second section will be displaying the blood circulation animation and for the last section, a video showing a patient undergoes heart surgery will be displayed. Each section will have its own marker to be differentiated on which object to be loaded on which marker. This magic book fascinate medical practitioner (heart surgeon and cardiologist), once we showed them. This is our pilot study before we proceed to apply Augmented Reality on training future heart surgeon.

Keywords: Augmented Reality, Marker, Interactive Learning.


<ICEE2011>

Aqeel's experiment

Keep it up Aqeel!

 

          

Venture Plan Essential Boot Camp

Venture Plan Essential Boot Camp 

with SRI-International

24th-28th October 2011

Thistle, Port Dickson Resort.

SRI International workshop

New Research Grant, alhamdulillah!

Extraction of 3D Biological Complex Shape with Optical Flow using Geometrical Approach, ERGS, RM98,000.00, 24 months, Sept. 2011-2013

Congratulation to Farsad and his supervisory commitee.

     Farsad Zamani Boroujeni, Rahmita Wirza O.K. Rahmat, Norwati Mustapha, Lilly Suriani Affendey and Oteh Maskon, Automatic Selection of Initial points for Exploratory Vessel Tracing in Fluoroscopic Images, Defence Science Journal, Vol. 61, No. 5, pp 443-451, 2011. ^{(IF: 0.304)}

^{ABSTRACT
Automatic extraction of vessel centerlines is viewed as an essential process in majority of image-guided diagnostic and therapeutic applications. Among a considerable number of methods, direct exploratory  tracing method is known as an efficient solution for reliable extraction of vessel features from  two-dimensional fluoroscopic images. The first step of most automatic exploratory tracing algorithms is to  collect some candidate initial seed points as well as their initial tracing directions. To detect reliable initial  points, a validation procedure is required to filter out the false candidates and avoid unnecessary tracing.  Starting from reliable initial points, the algorithm efficiently extracts the centerline points along the initial  direction until certain pre-defined criteria are met. However, most of these algorithms suffer from  incomplete results due to inappropriate selection of the initial seed points. The conventional seed point  selection algorithms either rely merely on signal-to-noise ratio analysis, which results in a large number of  false traces, or impose a set of strict geometrical validation rules which leads to more false negatives and  as a consequence more time shall be spent on computation. This paper presents a new method for  efficient selection of initial points for exploratory tracing algorithms. The proposed method improves the  performance upon existing methods by employing a combination of geometrical and intensity-based  approaches. Moreover, it provides a tunable trade-off between the strictness of the validation procedure  and computational efficiency. The results of comparative performance with other proposed techniques are  included.} 

      ^{Keywords: Centerline extraction, coronaries, exploratory tracing, seed point detection, tracking}