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Jurnal Imejing Diagnostik
Published by Poltekkes Kemenkes Semarang
ISSN : 2356301X     EISSN : 26217457     DOI : -
Core Subject : Health,
Health Professions Medicine & Pharmacology
Jurnal Imejing Diagnostik (JImeD) memuat tulisan ilmiah dalam bidang radiologi berupa hasil penelitian dan non penelitian (konseptual). Jurnal Imejing Diagnostik (JImeD) terbit 2 kali dalam satu tahun yaitu pada bulan Januari dan Juli oleh Jurusan Teknik Radiodiagnostik dan Radioterapi, Politeknik Kesehatan Kemenkes Semarang. Jurnal Imejing Diagnostik (JImeD) memuat artikel ilmiah dalam bidang radiologi, meliputi : radiografi konvensional, digital radiografi, CT scan, MRI, kedokteran nuklir, radioterapi dan ilmu lainnya yang berkaitan dengan radiologi.
Arjuna Subject : -
Articles 279 Documents
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Reduksi Noise Citra Magnetic Resonance Imaging Pemeriksaan Cervical dengan Teknik Denoising Weighted Median Filter (WMF) untuk Peningkatan Kualitas Citra Annisa, Aulia; Marliana; Desti Monika Uli
Jurnal Imejing Diagnostik (JImeD) Vol. 12 No. 1 (2026): JANUARY 2026
Publisher : Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/jimed.v12i1.14001

Abstract

Background: Magnetic resonance imaging (MRI) is a non-invasive method that is crucial for diagnosing various medical conditions, including cervical MRI. However, one of the challenges often encountered in MRI image analysis is the presence of noise, which can compromise image quality. Noise in MRI images can suppress important details, impede diagnostic accuracy, and increase the likelihood of misinterpretation. One technique that has been proven effective in reducing image noise is the Weighted Median Filter (WMF). This research is crucial for improving the diagnostic quality of MRI images. The aim of this research is to determine the differences and assess the image quality between before and after applying the Weighted Median Filter (WMF) denoising technique to Cervical MRI images. Methods: In Cervical MRI images, image information was improved using the Weighted Median Filter (WMF) denoising technique to produce images with better quality. Each image was measured for image information before and after the denoising technique. Image information was assessed in two ways: image quality (SNR and CNR), and filter performance (PSNR and MSE). Results: Based on the results of the difference test, there is a difference in the quality of the SNR and CNR images between before and after the WMF denoising technique. And the results of the filter performance test produce good values that are still within standard limits. Conclusions: that there is a significant difference between the image before reduction and the image after reduction with WMF denoising technique. In this research, the MRI Cervical image of T1 GRE axial slice sequence produces a good filter performance assessment (PSNR and MSE) and also for the image quality before and after the denoising technique produces SNR and CNR that are in line, namely there is an increase in image quality between before and after WMF technoising.
Analisis Prosedur MRI Cervical Menggunakan MAVRIC pada Kasus Cervical Root Syndrome Adhista Dhianida Austin; Susanto, Fani; Mastuti, Santi Tri; Ali, Azilnawati binti
Jurnal Imejing Diagnostik (JImeD) Vol. 12 No. 1 (2026): JANUARY 2026
Publisher : Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/jimed.v12i1.14021

Abstract

Background: Cervical Root Syndrome (CRS) is a neurological disorder caused by compression or irritation of the cervical nerve roots. Magnetic Resonance Imaging (MRI) of the cervical spine is one of the primary modalities for evaluating CRS. In specific cases such as the presence of braces, the resulting artifacts can reduce image quality. The use of Multi-Acquisition Variable-Resonance Image Combination (MAVRIC) sequences has been introduced to minimize metal artifacts, thereby improving diagnostic accuracy. This study aims to analyze the MRI Cervical examination procedure using MAVRIC sequences in CRS patients. Methods: This research employed a qualitative method with a case study approach conducted at the Radiology Unit of Indriati Solo Baru Hospital. Data collection was carried out through direct observation, documentation, and structured interviews with radiographers. The obtained data were analyzed descriptively to understand the examination procedure and to identify its clinical implications. Results: The MRI Cervical examination in CRS patients followed the standard cervical MRI protocol, including Localizer, Coronal T2, Sagital  T1, Sagital  T2, Sagital  T2 Fat Sat, Axial T1, Axial T2 Merge, and Myelo 2D sequences. Prior to the examination, patients underwent metal screening and removal to ensure safety and image quality. The MAVRIC sequence was added specifically to reduce metal artifacts, which enabled clearer visualization of cervical anatomical structures and pathological findings. Conclusions: The MRI Cervical examination with MAVRIC sequences provides significant benefits in reducing metal-related artifacts, thereby enhancing image quality and diagnostic accuracy in patients with Cervical Root Syndrome. Proper patient preparation and adherence to protocol are essential to maximize the effectiveness and safety of the procedure.
Aloe Vera Gel sebagai Body Marker Alternatif untuk Pemeriksaan MRI Pelvis Wanita Muzhaffar, Muhammad Isfan; Sugiyanto; Kartikasari, Yeti; Fatimah; Latifah, Leny; Wibowo, Gatot Murti
Jurnal Imejing Diagnostik (JImeD) Vol. 12 No. 1 (2026): JANUARY 2026
Publisher : Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/jimed.v12i1.14047

Abstract

Background: Pathological conditions of the female pelvis, such as infertility and cancer, are prevalent in Indonesia, with disorders like cervical cancer affecting up to 52% of women. In pelvic MRI exams, ultrasound gel is used to enhance image clarity, but commercial gels may cause allergic reactions or infections. Aloe vera gel, with its natural properties like high water content, pH balance, and anti-inflammatory effects, presents a safer alternative for use in these procedures. Methods: This study used a research and development approach to determine the optimal formulation of aloe vera gel as an alternative body marker for pelvic MRI in women. MRI imaging was performed using T1 and T2 weighted sequences with the pelvic MRI 1,5 T protocol at Telogorejo Hospital, Semarang. Results: Aloe vera gel was formulated by mixing pure aloe vera extract, aquabides, and xanthan gum to mimic the characteristics of ultrasound gel. Two formulations with varying concentrations of xanthan gum were tested. MRI imaging results showed that the gel with a 1:50 ratio of xanthan gum provided the highest signal-to-noise ratio (SNR) for both T1 and T2 weighted images compared to ultrasound gel. Conclusions: Aloe vera gel formulated with xanthan gum at a 1:50 ratio proved to be a suitable alternative to commercial ultrasound gels for pelvic MRI examinations. The gel's high viscosity and bioactive compounds contributed to its stability, enhancing MRI image quality and making it a safer and effective option for use in gynecological imaging procedures.
Pengujian Kinerja Bluetooth Wireless Exposure Switch untuk X-ray Mobile Unit Sulistiyadi, Akhmad Haris; Rochmayanti, Dwi; Wibowo, Ardi Soesilo
Jurnal Imejing Diagnostik (JImeD) Vol. 12 No. 1 (2026): JANUARY 2026
Publisher : Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/jimed.v12i1.14158

Abstract

Background: Radiation exposure to radiographers in on-site X-ray mobile examination is relatively high due to lack of shielding. Bluetooth wireless exposure system was developed to overcome the situation by providing longer range of exposure distance. The system combines the exposure trigerring componnents, Bluetooth moduls, and microcontrollers. The aim of this study was to analyze the performance of the developed Bluetooth Wireless Exposure Switch for X-ray mobile unit. Methods: This is quantitative research with an explorative approach. The system was installed on CorsixTM  mobile X-ray in clinical set up. The X-ray output was tested refering to modified protocol for kVp output, timer accuracy, and radiation reproducibility.  Performance was assessed by comparing the X-ray output triggerred by the wireless exposure switch and conventional original wired exposure switch. The response time of the wireless system was measured the delay between transmiting and receiving time using software provided by ArduinoTM. Results: There were no difference on kVp output (p value >0.05), timer accuracy (p value >0.05), and radiation reproducibility (p value >0.05) between exposure trigerring using Bluetooth wireless exposure switch and the conventional switch. The time delay between transmiting and receiving time were 0,0612 second for pre-exposure phase and 0,0736 for exposure phase. Conclusions: Bluetooth wireless exposure switch showed a good performance in trigerring X-ray exposure and feasibly applied in clinical practice.
Prosedur Pemeriksaan MSCT Pelvis Studi Kasus Tumor Pelvis di Instalasi Radiologi RSUD Muhammad Sani Karimun Wedayanti, Luh Deva; Juliasa, I Wayan; Suci, Puspa Pamella
Jurnal Imejing Diagnostik (JImeD) Vol. 12 No. 1 (2026): JANUARY 2026
Publisher : Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/jimed.v12i1.14199

Abstract

Background: Multislice Computed Tomography (MSCT) is widely used for pelvic imaging because of its high spatial resolution, rapid acquisition time, and multiplanar reconstruction capability. Pelvic tumors require detailed evaluation of their margins, extent, and anatomical relationships with surrounding structures. At Muhammad Sani Hospital Karimun, MSCT pelvis examinations for suspected pelvic tumors are performed using a two-stage protocol: an initial intravenous (IV) contrast-enhanced scan followed by a second scan utilizing intragenital iodine contrast and rectal air as negative contrast. This imaging approach differs from standard MSCT pelvis protocols and is applied to improve visualization of tumor boundaries in selected cases. Methods: This study is a descriptive observational study in the form of a case report involving a single patient who underwent a two-stage MSCT pelvis examination. Result: The first stage, using IV contrast enhancement, provided information regarding tumor location, density characteristics, and possible extension but was limited in clearly defining tumor margins. The second stage involved intragenital administration of iodine contrast through catheterization and rectal air insufflation, which improved visualization of the anatomical boundaries between the tumor, urinary bladder, and rectosigmoid colon. Imaging findings were assessed descriptively without inferential statistical comparison between techniques. A cystic-solid mass measuring 10.5 × 6.2 × 8.4 cm was identified in the right pelvic region, along with an isodense mass measuring 4.0 × 6.2 cm in the left pelvis. The combined imaging approach subjectively enhanced visualization of tumor margins and anatomical relationships compared to the initial IV contrast scan alone, thereby increasing diagnostic confidence in tumor characterization. Conclusions: The two-stage MSCT pelvis protocol using IV contrast followed by intragenital iodine contrast and rectal air may provide improved visual delineation of pelvic tumor margins in this observed case. This technique represents a practical clinical variation of the anal marker method. However, the observed improvement is descriptive in nature and not based on comparative inferential analysis. Further studies with larger sample sizes and standardized comparison are required before drawing definitive conclusions or recommending routine implementation of this protocol.
Model Deteksi Parkinson Disease Berbasis Deep Learning Menggunakan Arsitektur VGG Lestari, Deva; Wibowo, Gatot Murti; Setiawan, Agung Nugroho; Suwondo, Ari; Susanto, Edy
Jurnal Imejing Diagnostik (JImeD) Vol. 12 No. 1 (2026): JANUARY 2026
Publisher : Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/jimed.v12i1.14284

Abstract

Background: Parkinsons Disease (PD) is a progressive neurodegenerative disorder characterized by the loss of dopaminergic neurons in the substantia nigra, resulting in motor and non-motor impairments. Early diagnosis remains challenging due to subtle initial symptoms and the relatively low accuracy of clinical assessment during early disease stages. Magnetic Resonance Imaging (MRI) provides high-resolution anatomical visualization and has the potential to detect early morphological changes. Advances in deep learning offer opportunities for automated PD detection through MRI analysis. This study aims to develop a PD detection model using the VGG architecture and evaluate its performance on MRI images. Methods: This study employed a Research and Development (R&D) approach to construct a deep learning–based PD detection model. The dataset consisted of 2,000 brain MRI images (1,000 PD and 1,000 healthy controls) obtained from the open-source Kaggle platform. Preprocessing included image normalization and resizing to 256×256 pixels. The dataset was divided into 80% training data and 20% testing data. The model was developed using the VGG architecture and trained for 15 epochs with a batch size of 16. Model performance was evaluated using accuracy, precision, sensitivity, and specificity metrics. Results: The VGG model demonstrated excellent classification performance on the test dataset. Evaluation results showed an accuracy of 0.99, precision of 0.99, sensitivity of 0.98, and specificity of 0.99. The confusion matrix indicated that the model correctly classified 198 healthy control images and 196 PD images, with minimal misclassification. Visualization of MRI comparisons showed that the model was able to detect morphological changes in the substantia nigra, including loss of the normal curvature of the crus cerebri, as an early indicator of PD. Conclusions: The VGG-based PD detection model achieved very high performance in distinguishing PD from healthy controls using MRI images. These findings highlight the potential of deep learning as a tool for early PD detection. However, the use of Kaggle data as the primary dataset represents a limitation due to unverified acquisition standards and clinical quality. Therefore, further validation using multicenter clinical datasets is required to ensure the model’s generalizability to broader patient populations.
Perancangan Software Dental Panoramic Berbasis Radiografi Digital Menggunakan Algoritma Feature Matching dan Pyramidal Decomposition untuk Menunjang Kemandirian Alat Kesehatan Setiawan, Rudi; Alkhowarizmi, Annas; Beni, Muhammad
Jurnal Imejing Diagnostik (JImeD) Vol. 12 No. 1 (2026): JANUARY 2026
Publisher : Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/jimed.v12i1.14344

Abstract

Background: Dental panoramic radiography (Orthopantomogram/OPG) is a fundamental modality in dentistry. However, the high cost of imported OPG devices hinders widespread access in Indonesia. To support the national Medical Device Independence program (Kemandirian Alat Kesehatan), a cost-effective solution utilizing standard sensors with advanced software reconstruction is proposed. This study aims to evaluate the performance of a custom-built stitching software using Feature Matching and Pyramidal Decomposition algorithms to reconstruct panoramic images from limited Field of View (FOV) sensors. Methods: This experimental study developed a Python-based imaging pipeline utilizing OpenCV. The process included preprocessing with Contrast Limited Adaptive Histogram Equalization (CLAHE), followed by a comparative analysis of feature detectors: Scale-Invariant Feature Transform (SIFT), Oriented FAST and Rotated BRIEF (ORB), and Accelerated-KAZE (AKAZE). To ensure seamless anatomical transition, image fusion was performed using Pyramidal Decomposition (Multi-band Blending). Performance was measured using Structural Similarity Index (SSIM), Mean Squared Error (MSE), Root Mean Square Error (RMSE), Peak Signal-to-Noise Ratio (PSNR), and computation time. The dataset consists of digital panoramic images that were segmented into several partial images with an overlap of 20–30% to simulate the acquisition process of a moving sensor in an OPG system. Results: Quantitative evaluation demonstrated distinct performance characteristics. SIFT achieved the highest diagnostic quality with an SSIM of 0.99, PSNR of 38.77 dB, and RMSE of 2.94, proving its superiority in preserving trabecular bone details. ORB provided the fastest processing time at 0.20 seconds but with significantly lower image fidelity (SSIM 0.84, PSNR 26.39 dB). AKAZE showed the lowest performance in this dataset (SSIM 0.75). Conclusions: The integration of SIFT and Pyramidal Decomposition provides a robust software solution for digital panoramic reconstruction, achieving near-perfect structural similarity (0.99). While ORB allows for real-time preview, SIFT is recommended for final diagnostic imaging in low-cost, indigenous dental imaging systems.
Efektivitas Software Organ Dose Modulation (ODM) dalam Penurunan Dosis Radiasi pada CT Thorax Fatmayanti, Halinda; Sulaksono, Nanang; Kurniawati, Ary
Jurnal Imejing Diagnostik (JImeD) Vol. 12 No. 1 (2026): JANUARY 2026
Publisher : Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/jimed.v12i1.14448

Abstract

Background: CT Scanning is a diagnostic examination modality that uses radiation to obtain detailed cross-sectional images of the human body. CT thorax is a frequently performed examination to evaluate lung parenchyma, airways, and mediastinal structures. This increases collective radiation exposure, thereby increasing long-term biological effects, especially on radiosensitive organs in the thorax, such as the mammary glands, thyroid, lungs, and spinal cord. One strategy to optimize dose exposure to radiosensitive organs is to use Organ Dose Modulation (ODM) software. ODM is a CT feature that can reduce radiation exposure to radiosensitive organs. This study aims to evaluate the effectiveness of ODM in reducing radiation dose in CT thorax examinations and its impact on image quality. Methods: This experimental study using a quantitative approach was conducted by Scanning a torso phantom from August to October 2025 at Indriati Solo Baru General Hospital. Thoracic Scanning was performed with two conditions: ODM OFF and ODM ON. Radiation exposure measurements in radiosensitive areas were performed by placing TLDs over the thyroid, mammary glands, lungs, and vertebrae (spinal cord), with each measurement repeated twice. Image quality was then assessed using SNR and CNR measurements with three repeated measurements. The resulting data were analyzed descriptively and analytically to compare dose distribution and image quality when the ODM was turned off and on. Results: TLD measurements demonstrated dose redistribution when the ODM was activated. Comparison of the average dose showed a decrease in anterior radiosensitive organs, with a 2.59% decrease in the thyroid and a 16.71% decrease in the mammary glands. Conversely, there was an increase in dose in the posterior and lateral regions, with a 45.05% increase in the vertebrae and a 5.05% increase in the lungs. Image quality analysis revealed a 14.76% increase in SNR and a 28.30% increase in CNR when the ODM was activated. Conclusions: This study demonstrates that the ODM not only reduces radiation dose to anterior radiosensitive organs but also improves image quality.
Optimasi Visualisasi Celah Sendi Glenohumeral pada Kasus Trauma Bahu melalui Proyeksi Axillary View dengan Sudut 25° Caudal Wulandari, Andi Nur Intan; Ibrahim, Irsyadah; Darmawan, Zulkifli Tri; Syuhada, Firdha Adlia; Arung, Panji
Jurnal Imejing Diagnostik (JImeD) Vol. 12 No. 1 (2026): JANUARY 2026
Publisher : Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/jimed.v12i1.14499

Abstract

Background: The shoulder joint is a complex anatomical structure with an extensive range of motion, making it highly susceptible to traumatic injuries such as fractures and dislocations. Conventional radiography often faces limitations in providing detailed visualization of these injuries, necessitating specialized projection techniques to clarify anatomical abnormalities. This study aims to evaluate the implementation of the axillary view projection using a 25° caudal angle in trauma cases at RSKB Columbia Asia Pulomas Jakarta. Methods: This study utilized a qualitative descriptive approach with a case study design at the Radiology Department of RSKB Columbia Asia Pulomas Jakarta from January to March 2025. One patient requiring shoulder joint examinations served as the primary subjects. Data were collected through direct observation of the radiographic procedures, interviews with radiographers and radiologists, and analysis of clinical documentation. Results: The examination technique involved positioning the patient seated beside the table with the arm abducted over the image receptor. The central ray was directed at the glenohumeral joint using a 25° caudal angulation. The findings indicate that the 25° caudal angle is particularly beneficial for non-cooperative patients, as it successfully opens the glenohumeral joint space and visualizes the axillary region clearly. This technique effectively revealed clinical conditions, including subluxation, glenoid avulsion, and joint space narrowing. Conclusions: The axillary view with a 25° caudal angle is a reliable and effective technique for assessing shoulder trauma. It provides superior anatomical detail regarding the relationship between the humeral head and the glenoid fossa, thereby supporting more accurate clinical decision-making in trauma management.

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