Asian Journal Of Medical Technology

GUIDELINE OF PERFORMANCE TEST AND EVALUATION ON ULTRASOUND DIAGNOSTIC EQUIPMENT USING LINEAR AND SECTOR TRANSDUCERS ON ATS539 MULTIPURPOSE PHANTOM

Nabilah Ibrahim, Jasmine, Dannial, Rabani — Sun, 31 May 2026 00:00:00 +0000

Routine performance testing of ultrasound diagnostic equipment is essential to ensure consistent image quality, accurate measurements and safe clinical operation. However, standardized and practical guidelines for evaluating system performance using different transducer remain limited. This study proposes a guideline for performance test and evaluation of Canon Aplio Me ultrasound diagnostic equipment using PLU-805BT linear and PSU-30BT sector transducers in conjunction with the ATS539 multipurpose ultrasound phantom. The evaluation framework covers key imaging performance parameters including axial and lateral resolution, depth penetration, contrast resolution, target detectability and geometric accuracy. The results demonstrate performance characteristics associated with linear and sector transducers between the range of 3 MHz and 12 MHz reflecting their frequency ranges and imaging geometries. The calculated errors obtained from those measurements indicate between 1% and 6% bring the high reliability on the system accuracy across varies frequencies. This proposed manual guideline provides a reproducible approach for ultrasound equipment performance assessment and quality assurance that applicable for routine clinical testing, maintenance system, educational laboratory exercises, and research-based system evaluation as the way to support diagnostic reliability and standardized ultrasound quality control practices.

HYPERINTENSE VESSEL SIGN DETECTION IN ACUTE ISCHEMIC STROKE

Izzat Sabri — Sun, 31 May 2026 00:00:00 +0000

The Hyperintense Vessel Sign (HVS) on FLAIR MRI is a subtle yet critical marker of large vessel occlusion (LVO) in acute ischemic stroke, with timely detection directly influencing eligibility for thrombolysis or thrombectomy. Manual HVS identification remains time-intensive and susceptible to inter-observer variability, particularly under high-pressure emergency conditions. A total of 72 patients were retrospectively recruited from Hospital Sultan Abdul Aziz Shah (HSAAS), Universiti Putra Malaysia (UPM), with FLAIR MRI acquired using a standardized protocol on a 3T scanner. A YOLO-based object detection architecture was trained to localize HVS regions using bounding box annotations in YOLO format. Performance was benchmarked against consensus annotations from three board-certified neuroradiologists as the gold standard. On the held-out test set, the model achieved a sensitivity (recall) of 0.54, precision of 0.57, F1-score of 0.51 at the optimal confidence threshold of 0.35, and an mAP@0.5 of 0.47 (mAP@0.5–0.95: 0.16). The AI-based FLAIR analysis improved detection efficiency, reducing average triage decision times while maintaining diagnostic safety. Furthermore, the model showed strong potential for integration into stroke imaging triage pathways; its explainable AI (XAI) heatmaps enabled radiologists to effectively cross-verify AI-flagged HVS regions during time-critical scenarios. By combining patient-level data integrity, targeted on-the-fly augmentation, and explainability features, the proposed system offers a practical and deployable AI solution for stroke workflows in resource-limited or high-volume settings. Future work will focus on real-time clinical pipeline integration and extension to multi-modal imaging data for comprehensive stroke assessment.

Bibliometric Analysis of Susceptibility Vessel Sign in Acute Ischaemic Stroke

Achmad Bayhaqi Nasir Aslam — Sun, 31 May 2026 00:00:00 +0000

The susceptibility vessel sign (SVS) on magnetic resonance imaging (MRI) is an important biomarker in acute ischaemic stroke, but SVS research has expanded across journals and countries without a quantitative map of its development. This study aimed to provide a bibliometric analysis of global SVS research.

A Scopus search (7 February 2024) identified SVS-related publications in acute ischaemic stroke. After screening, 122 peer-reviewed articles published between 2005 and 2024 were included. Bibliometric indicators and science mapping were analysed using Bibliometrix (R) with Biblioshiny, with VOSviewer for collaboration and keyword co-occurrence networks.

SVS publications showed steady growth over 2005–2024, supported by collaborative authorship (1,215 authors) and 3,089 citations (25.3 per paper). France led overall output and collaboration networks, while the United States and South Korea showed higher citation-per-paper impact. Catherine Oppenheim and Olivier Naggara were the most prolific authors, and Stroke and AJNR were the leading journals. Highly cited papers, including Liebeskind et al. (2011) and Boeckh-Behrens et al. (2016), formed the field’s knowledge base. Keyword mapping clustered around imaging modalities, clinical outcomes (thrombolysis/thrombectomy), and thrombus pathology, with emerging themes including artificial intelligence and multicentre thrombectomy trials.

SVS research has progressed from early diagnostic validation to prognostic and treatment-focused work, and more recently toward quantitative, AI-assisted, trial-driven applications. This bibliometric map identifies key contributors, core journals, and evolving themes to guide future SVS research and clinical translation in acute stroke care.