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.

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:

1. 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.
2. 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
3. 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
4. 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
5. 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 12^th Annual Scientific Meeting, Malaysian Association for Thoracic and Cardiovascular Surgery, Kuala Lumpur, 9-10 October 2009
    

Audience Statistic for this blog.

Congratulation to the Team!

Integrated Heterogeneous Medical Database Cardiothoric 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	:	-

Software Concept presentation

Mr Tajul represent his concept system

Dr Tie and Dr Bie, tired of wearing their thinking hat.

 

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.

Congratulation to Hassan for his 2nd journal publication.

Three-Dimension Coronary Artery Tree Curvature Confirmation

Hassan H. Khalil, Rahmita O.K. Rahmat, D. M. Zamrin, Ramlan Mahmod and Norwati Mustapha

Journal of Computer Science
DOI: 10.3844/jcssp.2010.1518.1524
Volume 6, Issue 12
Pages 1524-1530

Problem statement: Three-Dimension (3D) reconstruction is one of the vital and robust tools that provide aid in many fields, especially medicine. This article is about 3D shape similarity and it presents a comparison approach between principal curvature methods of 3D output. Our approach follows the concept of using the gray scale value as the z dimension and the other approach is a standard one. A comparison of the curvature of the 3D outputs will be made between the standard approach and our proposed one to prove its correctness. We propose to use the standard deviation technique to compare the output features of the 3D coronary artery trees. We applied a standard approach of 3D shape similarity and compared the features with ours. The standard approach was published in 1998 as a study comparing certain 3D curvature measurement algorithms. Approach: Our approach consists of three major steps: (1) Apply the paraboloid fitting technique from the standard approach; (2) Apply the 3D reconstruction algorithm proposed in this research on the same data in step (1) and (3) Apply the Standard Deviation technique on both outputs from (1) and (2) and compare the outputs. Results: Experimental evaluation has been done on clinical raw data sets where the experimental results revealed that both outputs are totally matched. Conclusion: The match in the output refers to the correctness of the proposed 3D output and subsequently its coronary artery tree curvature as well.

Refer to : Khalil, H.H., R.O.K. Rahmat, D.M. Zamrin, R. Mahmod and N. Mustapha, 2010. Three-Dimension Coronary Artery Tree Curvature Confirmation. J. Comput. Sci., 6: 1524-1530. (DOI: 10.3844/jcssp.2010.1518.1524)