We invite postgraduate candidate (PhD and MSc) to joint CASD research as a team and work together towards its goal to assist medical expert. Research area under CASD project include Medical Image Analysis, Multimedia Database, Computer Graphics, Data Visualization, Augmented Reality and Holographics Interaction. The expected output are Cardiovascular Information System, Heart Diseases Diagnostic Systems, Computer Assisted Medical Research and 3D Medical Visualization.
Friday, December 2, 2011
Thursday, October 27, 2011
Venture Plan Essential Boot Camp
Venture Plan Essential Boot Camp
with SRI-International
24th-28th October 2011
Thistle, Port Dickson Resort.
Thursday, October 20, 2011
Sunday, September 4, 2011
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.
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
Thursday, August 25, 2011
Post CASD workshop
Post CASD workshop
18th August 2011
10.00 am - 4.30 pm
Seminar room, Block C, FSKTM, UPM
to finalized our proposal.
Cardiothoracic Surgery and Anaesthesia System
Cardiothoracic Surgery and Anaesthesia System - Training Session
22nd August 2011
10.00 am
Seminar Room, Block C
(CASD product)
Sunday, August 14, 2011
Wednesday, August 10, 2011
CASD Research Workshop 9-10 August 2011
We did this workshop to enhance our proposals to suit the current scenario. InsyaAllah, we will getting a few more research grant.
Monday, August 1, 2011
Automatic Boundary Detection of Wall Motion in Two-dimensional Echocardiography Images
Faten A.A. Dawood , Rahmita W. Rahmat , Mohd Z. Dimon , Lili Nurliyana and Suhaini B. Kadiman
Journal of Computer Science
DOI: 10.3844/jcssp.2011.1261.1266
Volume 7, Issue 8
Pages 1261-1266
Abstract
Problem statement: Medical image analysis is a particularly difficult problem because the inherent characteristics of these images, including low contrast, speckle noise, signal dropouts and complex anatomical structures. An accurate analysis of wall motion in Two-dimensional echocardiography images is “important clinical diagnosis parameter for many cardiovascular diseases”. A challenge most researchers faced is how to speed up the clinical decisions and reduce human error of estimating accurately the true wall movements boundaries if can be done automatically will be a useful tool for assessing these diseases qualitatively and quantitatively. Approach: The proposed method involves three stages: First, the pre-processing stage for image contrast enhancement to reduce speckle-noise and to highlight certain features of interest (i.e., myocardial tissue). In the second stage, we applied the segmentation process using thresholding technique by considering a mean value of pixels intensity as a threshold value to distinct image features (e.g., Background and object). After thresholding implementation, the two most common mathematical morphology operators ‘erosion’ and ‘dilation’ are applied to improve the efficiency of the wall boundary detection process. Finally, Robert’s operator is used as edge detector to identify the wall boundaries. Results: For accuracy measurement, the experimental results of the proposed method are compared to that obtained from medical QLab system qualitatively and quantitatively. Conclusion: The results showed that our proposed method is reliable and its performance accuracy percentages are 50% more acceptable and 42% better than QLab system results.
Thursday, July 28, 2011
Research and Innovation 2011 Exhibition (PRPI 2011), UPM, Serdang.
- Rahmita Wirza, Faten A. Dawood. Lili Nurliyana Abdullah, Suhaini Kadiman, Mohd. Zamrin Dimon, Silver Medal, Invention, Research and Innovation 2011 Exhibition, 24-26 July 2011, UPM Serdang, “Automatic Boundary Detection of Wall Motion in Two-dimensional Echocardiography”
- Rahmita Wirza, Farsad Zamani Baroujeni, Norwati Mustapha, Lilly Suriani Effendey, Oteh Maskon, Silver Medal, Invention, Research and Innovation 2011 Exhibition, 24-26 July 2011, UPM Serdang, “Automated System for Identification and Quantification of Lesions in Coronary Arteriograms”
Sunday, May 15, 2011
Progress Supervisory Committee Meeting, series
Monday, May 9, 2011
Progress Supervisory Committee Meeting
Thursday, March 31, 2011
Research Methodology in CS
Saying that SDLC is a research methodology is grossly wrong. Just simple argue to this statement; Research methodology in CS are;
1. Theoretical/Formal
2. Modeling
3. Experimental
4. Simulation
There is different between Research process and Research methodology. However saying that SDLC is a Research Process is also not that exact.
For further clarification please attend Research Methodology in CS class.
Wednesday, March 23, 2011
INTEGRATED HETEROGENEOUS MEDICAL DATABASES FOR CARDIOTHORACIC SURGERY SYSTEMS
This is our main focus research. There are numbers of research activities are active, which we plan to plug in later. There are so many things that need to explore and research within this research. There are many students interested to joint in, there are enough data to be use, and we have complete expert in our team. Unfortunately we need research grant to support our activities. With enough grant, this project will go beyond imagination.
The beginning |
Wednesday, March 16, 2011
Monday, February 21, 2011
Automated Generated 3D Reconstruction of Coronary Artery Tree in Angiogram Images and Applications
Congratulation to Hassan and his supervisory committee for getting Gold Medal in Malaysia Technology Exhibition (MTE).
Thank you Hassan for presenting this project by yourself while I am away. Congratulation and thank you from my deepest heart!
This is not an end for our project, it is just a beginning.
Wednesday, January 26, 2011
Have a nice journey back home, Zeena.....
Have a nice journey back home, Zeena. You are our first graduate student. Thank you for being a wonderful student.
These are her list of output:
Faten, me, Zeena and Anas |
Faten, Zeena, A.P. Dr. Mohd. Zamrin and Anas |
Faten, Zeena, A.P. Dr. Mohd. Zamrin and Hassan |
Fatin, me, Zeena and Hassan |
These are her list of output:
- Zinah Rajab Hussein, Rahmita Wirza Rahmat, Lili Nurliyana, M. Iqbal Saripan and Mohd. Zamrin Dimon, Quantitative Detection of Left Ventricular Wall Motion Abnormality by Two-Dimensional Echocardiography, Computer and Information Science Journal, Vol. 3, No. 2, 2010.
- Zinah Rajab Hussein, Rahmita Wirza Rahmat, Lili Nurliyana, M. Iqbal Saripan and Mohd. Zamrin Dimon, Pre-processing Importance for Extracting Contours from Noisy Echocardiagraphic Images, International Journal of Computer Science and Network Security, vol. 9., No. 3, March 2009, pp 134-137
- Zinah Rajab Hussein, Rahmita Wirza Rahmat, Lili Nurliyana Abdullah, M. Iqbal Saripan, Mohd Zamrin Dimon, Contours Extraction of Echocardiographic Images based on Pre-processing, Advanced Technology Congress 2009,(ATCi 2009), Malaysia, 2009
- Zinah Alussi, Rahmita Wirza, D.M. Zamrin, Echocardiograph Imaging, The Influence of Qualitative and Quantitative Analysis on Echocardiograph Interpretation Informatics, released by LAP LAMBERT Academic Publishing (2010-10-29)-ISBN-13:978-3-8433-58788-1
- Zinah Rajab Hussein, Rahmita Wirza Rahmat, Lili Nurliyana Abdullah, M Iqbal Saripan, D M Zamrin, Improved and Qualitative Detection of The Left Ventricular Wall Motion Using Optical Flow, The 12th Annual Scientific Meeting, Malaysian Association for Thoracic and Cardiovascular Surgery, Kuala Lumpur, 9-10 October 2009
Thursday, January 20, 2011
Wednesday, January 19, 2011
Congratulation to the Team!
Integrated Heterogene ous Medical Database Cardiothor ic Surgery System
Congratulation to the team effort for successfully filed this system. The next step is to enhance the system and meet uniquest and highly demand Medical Database Cardiothoracic Surgery System. We will inject research elements, rules and results in this system. We hope and doa' for our research budget proposal approve.
IP Status | : | Pending Patent |
Filed Date | : | 2010-12-22 |
Application No. | : | PI2010006145 |
Country Filing | : | Malaysia |
Apllicant | : | Universiti Putra Malaysia |
Granted Date | : | 0000-00-00 |
IP Number | : | - |
Thursday, January 6, 2011
Wednesday, January 5, 2011
MOA discussion
5th January 2011, 2.30 pm, TNCPI meeting room, ICC, UPM, chair by Mr Industri Saion the Deputy Director of ICC. Attended by Dr Suhaini and Legal Advisor from IJN, Dr. Mohd. Zamrin (PPUKM), and Dr. Md Nasir and me from FSKTM, UPM.
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