Browsing by Author "Aisyah Rahimi"
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Publication Brain Tumour Temporal Monitoring Of Interval Change Using Digital Image Subtraction Technique(Frontiers Media SA, 2021) ;Azira Binti Khalil ;Aisyah Rahimi ;Aida Luthfi ;Muhammad Mokhzaini Azizan ;Suresh Chandra Satapathy ;Khairunnisa HasikinKhin Wee LaiA process that involves the registration of two brain Magnetic Resonance Imaging (MRI) acquisitions is proposed for the subtraction between previous and current images at two different follow-up (FU) time points. Brain tumours can be non-cancerous (benign) or cancerous (malignant). Treatment choices for these conditions rely on the type of brain tumour as well as its size and location. Brain cancer is a fast-spreading tumour that must be treated in time. MRI is commonly used in the detection of early signs of abnormality in the brain area because it provides clear details. Abnormalities include the presence of cysts, haematomas or tumour cells. A sequence of images can be used to detect the progression of such abnormalities. A previous study on conventional (CONV) visual reading reported low accuracy and speed in the early detection of abnormalities, specifically in brain images. It can affect the proper diagnosis and treatment of the patient. A digital subtraction technique that involves two images acquired at two interval time points and their subtraction for the detection of the progression of abnormalities in the brain image was proposed in this study. MRI datasets of five patients, including a series of brain images, were retrieved retrospectively in this study. All methods were carried out using the MATLAB programming platform. ROI volume and diameter for both regions were recorded to analyse progression details, location, shape variations and size alteration of tumours. This study promotes the use of digital subtraction techniques on brain MRIs to track any abnormality and achieve early diagnosis and accuracy whilst reducing reading time. Thus, improving the diagnostic information for physicians can enhance the treatment plan for patients. - Some of the metrics are blocked by yourconsent settings
Publication CT-MRI Dual Information Registration For The Diagnosis Of Liver Cancer: A Pilot Study Using Point-based Registration.(Bentham Science Publisher, 2022) ;Aisyah Rahimi ;Azira Khalil ;Amir FaisalKhin Wee LaiAbstract: Background: Early diagnosis of liver cancer may increase life expectancy. Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) play a vital role in diagnosing liver cancer. Together, both modalities offer significant individual and specific diagnosis data to physicians; however, they lack the integration of both types of information. To address this concern, a registration process has to be utilized for the purpose, as multimodal details are crucial in providing the physician with complete information. Objective: The aim was to present a model of CT-MRI registration used to diagnose liver cancer, specifically for improving the quality of the liver images and provide all the required information for earlier detection of the tumors. This method should concurrently address the issues of imaging procedures for liver cancer to fasten the detection of the tumor from both modalities. Methods: In this work, a registration scheme for fusing the CT and MRI liver images is studied. A feature point-based method with normalized cross-correlation has been utilized to aid in the diagnosis of liver cancer and provide multimodal information to physicians. Data on ten patients from an online database were obtained. For each dataset, three planar views from both modalities were interpolated and registered using feature point-based methods. The registration of algorithms was carried out by MATLAB (vR2019b, Mathworks, Natick, USA) on an Intel (R) Core (TM) i5-5200U CPU @ 2.20 GHz computer. The accuracy of the registered image is being validated qualitatively and quantitatively. Results: The results show that an accurate registration is obtained with minimal distance errors by which CT and MRI were accurately registered based on the validation of the experts. The RMSE ranges from 0.02 to 1.01 for translation, which is equivalent in magnitude to approximately 0 to 5 pixels for CT and registered image resolution. Conclusion: The CT-MRI registration scheme can provide complementary information on liver cancer to physicians, thus improving the diagnosis and treatment planning process. - Some of the metrics are blocked by yourconsent settings
Publication Development Of Automatic Reminder System For Geriatric Medicine Intake(USIM Press, 2021) ;Aisyah Rahimi ;Hamimi ZakriAzira Binti KhalilThe consumption of medicine is typical in geriatrics, having many problems related to medications. Geriatrics often forget to take their medicine, and this problem can be overcome by using an automatic reminder system. In this study, an automated reminder system is developed as an improved community element, acting as a system that can help geriatric in taking their medicine on time, thus, boosting their health condition. This reminder system also includes an interaction between the geriatrics and their caretakers. This reminder system includes Arduino UNO as the microcontroller, with the notification system, Blynk Application, a buzzer, and a light-emitting diode (LED) system. To make this reminder system more versatile, the buzzer will alarm during the medicine intake time, giving information to the elderly on which medicine to take. When the time has reached to take medication, the buzzer will produce a sound. Suppose the medicine box opens after the buzzer's sound and is detected by the passive infrared sensor (PIR sensor). In that case, the caretaker will receive a notification through the Blynk application that the geriatric already took medicine. On the contrary, if the medicine box is not open after 3 minutes following the buzzer's sound, which indicates that the geriatric did not take their medicine, the system will not send a notification to their caretakers on the status. This prototype is tested on ten users for its accuracy and effectiveness. It is believed that this system can provide geriatrics more alert in taking their medicine on time, enhancing their health status. - Some of the metrics are blocked by yourconsent settings
Publication A Policy Examination of Covid-19 Impact on the Radiology Department Standard Operating Procedures (SOPs): The Malaysian Experience(USIM PRESS, 2024) ;Ahmad Luqmanulhakim Sunawari ;Aisyah Rahimi ;Aminatul Saadiah Abdul Jamil ;Shahrina IsmailAzira KhalilThe purpose of this paper is to review the new management policy in medical imaging of the Covid-19 post-pandemic transition. This paper discussed the Standard Operating Procedure (SOP) introduced by the Ministry of Health (MoH) Malaysia to prevent and control intrahospital transmissions of Covid-19. A conceptual framework is proposed to highlight the key areas in the national SOP for preventing Covid-19 intrahospital transmissions in the radiology department. The key areas were classified into four categories: planned requests (patient appointments), (ii) open-access management (walk-in patient workflow and the triage system), (iii) direct contact (during radiology procedures), and (iv) exit policy and disinfection (post imaging conduct). The paper ends with a summary of diagnostic imaging classifications based on chest radiographs (CXR) and Computed Tomography (CT) images of suspected and confirmed Covid-19 patients. The Covid-19 SOP for the radiology department by the MoH was found to retain most of the patient quarantine and isolation guidelines by the Centre for Disease Control and Prevention (CDC) and incorporated several international policies on patient triage and disinfection of radiological equipment. The majority of the SOP is also sustained, like the SOP during the pandemic, except for the SOP that has been proven to be insignificant by recent research. The Covid-19 SOP for the radiology department plays an important role in reducing the intrahospital spread of Covid-19, with some areas needing improvement. Health workers in the radiology department should continue implementing the Covid-19 SOP and increase their knowledge in identifying Covid-19 signs on radiographic images to help safeguard themselves and the patients from intrahospital transmissions. - Some of the metrics are blocked by yourconsent settings
Publication Prostate Cancer Monitoring using MRI Monomodal Feature-Based Registration(MALAYSIAN INSTITUTE OF PHYSICS, 2022) ;Aisyah Rahimi ;Azira Khalil ;Farisha Noordin ;Shahrina Ismail ;Muhammad Mokhzaini AzizanKhin Wee LaiImage registration approaches based on standard information criteria were widely employed, showing promising results in the registration of medical monomodal images. Feature-based registering is an effective clinical application technique since computational costs can be reduced significantly. The following four steps are generally used for most registration methods: detection of features, extraction of features, matching features and transformation determination. The accuracy of the registration procedure is dependent on matching a feature and detecting control points (CP). Thus, this paper supports this feature for monomodal registration of magnetic resonance imaging (MRI). MRI is gold-standard imaging to detect prostate cancer progression as it provides better information for soft tissue visualization. In this study, registration of MRI images taken from different time frames is developed to ease the physician in integrating the information about the evolution of the tumour. The accuracy of the registration process depends on matching features and CP detection by calculating the iterative closest point (ICP). The prostate volumes are calculated, and the result shows minimal errors. This registration method has been applied in coronal, sagittal and axial views from five patient datasets. The accuracy of automatic registration results is 0.1mm (axial), 1.1mm (coronal) and 0.2mm (sagittal). These accuracies are comparable to gold-standard manual registration by the experts. There was no significant difference between the automatically and manually registered MRI monomodal. Thus, the proposed method enables the physician to diagnose prostate cancer as it can provide important information about the disease progression and decide the necessary therapies regarding the patient’s condition - Some of the metrics are blocked by yourconsent settings
Publication Trimodality Image Registration of Ultrasound, Cardiac Computed Tomography, and Magnetic Resonance Imaging For Transcatheter Aortic Valve Implantation and Replacement Image Guidance(Springer Nature, 2023) ;Aisyah Rahimi ;Azira Khalil ;Shahrina Ismail ;Aminatul Saadiah Abdul Jamil ;Muhammad Mokhzaini Azizan ;Khin Wee LaiAmir FaisalBackground This study presents a registration system that integrates preoperative cardiac Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) volume data with 2D Ultrasound (US) images of the aortic valve. The registration process aims to combine three different imaging modalities (US-CT-MRI) to improve the accuracy of diagnosing aortic valve disorders and provide surgical guidance during the implantation and replacement of the transcatheter aortic valve. Methods The registration framework involves two key components: temporal synchronization and spatial registration. Temporal synchronization allows the identification of frames in the CT and MRI volume that correspond to the same cardiac phase as the US time-series data. For spatial registration, an intensity-based normalized mutual information method combined with a pattern search optimization algorithm is used to produce interpolated cardiac CT and MRI images that align with the US image. Results The accuracy of the trimodality registration method is evaluated using the Dice similarity coefficient. The obtained coefficients are 0.92±0.05 and 0.92±0.04 for comparisons between US-CT and US-MRI, respectively, in short-axis "Mercedes Benz" sign views. The Hausdorff distance, which measures the dissimilarity between two sets of points, was found to be 1.49±0.20 and 1.49±0.19 for both US-CT and US-MRI pairings, respectively. Notably, these values are comparable to the precision achieved when an expert manually registers each image. Conclusions The proposed registration technique demonstrates excellent accuracy in enhancing image-guided systems for aortic valve surgical guidance. It shows promise in the context of Transcatheter Aortic Valve Implantation (TAVI) and Transcatheter Aortic Valve Replacement (TAVR) procedures. The successful integration of US-CT-MRI imaging modalities enables better diagnosis and surgical planning for aortic valve disorders, potentially leading to improved patient outcomes in these procedures.