The Effect of Ultrasonic Wave Frequency and Resolution on Image Quality in Ultrasonic Devices

Authors

  • Cinta Nada Cinta Institut Kesehatan Dan Teknologi Alinsyirah
  • Nani Lasiyah Institut Kesehatan Dan Teknologi Alinsyirah

DOI:

https://doi.org/10.31004/jestm.v6i1.317

Keywords:

Ultrasonography, Ultrasonic Frequency, Image Resolution, ImageJ, Histogram Gray Level

Abstract

Ultrasonography (USG) is a non-invasive medical imaging tool that is widely used in clinical diagnosis due to its safety and ability to visualize internal body structures. This study aims to analyze the effect of ultrasonic wave frequency and resolution on image quality in ultrasound devices. The experiment was conducted at RSUD Petala Bumi, Riau Province, using ultrasound images of four organs, namely the abdomen, cubital joint, prostate gland, and femoral artery. The frequency variations displayed on the ultrasound device were 17, 28, 31, 48, and 93. These values represent internal system preset levels rather than the actual transmitted ultrasonic frequencies. In diagnostic ultrasonography, acoustic waves operate in the megahertz (MHz) range (typically 2–10 MHz). Therefore, in this study, frequency is interpreted as a relative parameter influencing imaging performance, particularly resolution and penetration depth. The images were analyzed using ImageJ software to obtain grayscale histograms as indicators of image quality. The results demonstrate that higher frequency settings improve image resolution but reduce tissue penetration, whereas lower frequency settings provide deeper penetration with reduced resolution. Histogram analysis shows that most images exhibit low brightness intensity with dominant gray-level distributions in darker regions, indicating suboptimal image quality for diagnostic purposes. Therefore, appropriate selection of frequency presets and ultrasound parameter settings is essential to support accurate medical diagnosis.

References

Al-Munawar, NM, Calcarina, FRW, & Jufan, AY (2015). Role Ultrasonography in Emergency.Journal of Anesthesia Complications,2(2), 85-94.

Apriansyah, W., Hayuningrum, EA, Candra, SR, & Kurniawati, W. (2024).

The Role of Sound in Medicine.Madani: Multidisciplinary Scientific Journal,1(12).

Arwoko, H. (2022, January). Breast Cancer Classification on Ultrasound Images Using the Discrete Cosine Transform (DCT) Coefficient Feature. InProceedings of the National Seminar on Law, Business, Science and Technology(Vol. 2, No. 1, pp. 451-451).

Sonographer Room. (2017). Types of Ultrasonography (USG) Machines. Retrieved from

https://images.app.goo.gl/8u5qmagnTnKi9mtAA

Destyningtias, B., Kurniawan, A., & Heranurweni, S. (2018). Medical Image Analysis In Stroke Patients with ImageJ-Based Contrast Stretching Method. Electricity,10(1), 15-18.

Epsilawati, L., Azhari, A., & Sarifah, N. (2020). Neck anatomy and conditions pathological: Ultrasound examination.Indonesian Journal of Dentomaxillofacial Radiology (JRDI),4(2), 47-54.

Fatimah, S., Maslebu, G., & Trihandaru, S. (2018). Image Homogeneity Analysis Silicone Rubber Phantom Based Ultrasonography with GLCM.Journal of Physics,8(1), 18–27.

Fitriani, F., Zelviani, S., & Sahara, S. (2020). The Effect of Tube Voltage (kV)

On Thorax Examination of Radiographic Image Quality at the Makassar Community Lung Health Center.JFT: Journal of Physics and Its Applications,7(2), 139-148.

Hasson, AM, Patel, RD, Sissoko, CA, et al. (2024). 3D‐Printed Neck Phantoms with Detailed Anatomy for Ultrasound‐Guided Procedure and Device Testing.Laryngoscope Investigative Otolaryngology, 9(4), 1-8.

Herlambang. (2021). Basic Obstetric Ultrasonography Reference Book for Medical Students & General Practitioners. Jambi: Salim Media Indonesia.

Ihsindonesia.com. (nd). USG AM 11 Unit - OneMed Health Care. Retrieved from https://ihsindonesia.com/index.php?route=product/product&product_id=824

Imagej.net.(nd) Basic Concepts. Obtained from https://images.app.goo.gl/bN6hxHSnjJTjq2PN7

Maslebu, G., Laga, MU, & Setiawan, A. Ultrasonography Image Characteristics Abdomen in Regions 3, 6 and 8 Using the Gray Level Co-Occurance Matrix (GLCM) Method.Journal of Flux Physics: Scientific Journal of Physics, Faculty of Mathematics and Natural Sciences, Lambung Mangkurat University,17(2), 80-87.

Oktaviani, T., Rini, AS, Hamdi, M., & Malik, U. (2018). Learning Ultrasound On Fetal Electrocardiogram Signals With Imaging Resolution And Frequency Variation.APTEK Journal,10(1), 13-18.

Pangestuti, D., Maslebu, G., & Trihandaru, S. (2019). Measurement Design Distance Accuracy Using Silicone Phantoms in Ultrasonography Quality Control with Computational Techniques.Journal of Science and Science Education,2(1), 36-41.

Putri, MN, & Rusli, HM, (2023) Basic Ultrasound Technique Practical Module. Yogyakarta: Yogyakarta Health College for the Nation.

Rahmawati, A., Sari, IU, & Sumarti, H. (2024). Classification of Benign Breast Tumors And Malignancy in Ultrasonography (USG) Images Based on Texture Characteristics Using the Random Forest Method.7, 38–44.

Ratar, VI, Trihandaru, SS, & Maslebu, G. (2020). Spatial Resolution Analysis Ultrasonography (USG) Images in the Tangential Direction of the Image Radius Using a Silicon Rubber-Based Phantom.Journal of Physics and Its Applications,16(1), 1-6.

Sanjaya, ER, Muninggar, J., & Setiawan, A. (2022). Imaging Method Trial Ultrasonography and Photoacoustic Multimodality.Physics Journal: Physics Science and Its Applications,7(1), 8–14.

Sianturi, CJM (2015). Analysis of Liver Ultrasound Image Segmentation Using Fuzzy C-Mean Method.Creative Information Technology Journal,2(3), 256-264.

Daeng, S. (2016). The Effect of Histogram Equalization on Improvement.J. SYMMETRICAL,7(1), 177-182.

Winaya, E., & Koesoemoprodjo, W. (2019). The Role of Thoracic Ultrasonography in Establishing the Diagnosis of Several Lung Disorders.Respiration Journal,1(1), 29.

Wibowo, CP, Jufan, AY, & Wisudarti, CFR FALLS PROTOCOL. Journal Anesthesia Complications,5(2), 91-100.

Downloads

Published

2026-03-30

How to Cite

Nada Cinta, C., & Lasiyah, N. (2026). The Effect of Ultrasonic Wave Frequency and Resolution on Image Quality in Ultrasonic Devices. Journal of Engineering Science and Technology Management (JES-TM), 6(1), 316–328. https://doi.org/10.31004/jestm.v6i1.317

Issue

Section

Articles