UNDIP, Semarang (January 10, 2026) – At the start of 2026, Universitas Diponegoro (UNDIP) introduced “IndoQCT v26d: Software for Evaluating the Quality of Computed Tomography Images,” the latest software developed to support automated, objective, and efficient evaluation of CT image quality. The official launch of IndoQCT v26d was held on Saturday, January 10, 2026, from 09:00–11:00 a.m. and was broadcast via the Official UNDIP Physics YouTube channel, featuring a full explanation of the software.
This innovation is expected to serve as a supporting tool for medical physicists in performing CT-scan quality control more quickly and effectively, as well as a research aid in CT-scan studies and an educational medium in medical physics and radiology. In healthcare, this technology also helps reduce side effects of CT-scan procedures on patients, ranging from mild effects such as allergies and dizziness to more serious risks such as cellular DNA damage and increased cancer risk.
IndoQCT v26d is the latest version of CT image quality evaluation software, developed continuously since 2018. This version includes a range of advanced features to support both research and clinical quality control (QC), including Detectability Index Measurements, integrated DICOM information storage in a database, and numerous other enhancements.
UNDIP has successfully collaborated with PT Quarta Medika Indonesia (QMI), bringing this flagship innovation—developed by UNDIP medical physics lecturers led by Dr. Choirul Anam and Prof. Heri Sutanto together with their team, including Ariij Naufal and Wahyu S. Budi, into the commercialization stage.
This innovation is the fourth version of the software. Previous versions were v22a, v24b, and v25c. IndoQCT v26d includes new features such as detectability index measurements using NPW and NPWE models; human observer modules with AFC, ROC, and LROC methods; storage of DICOM information in databases; and numerous bug fixes. The interface has been refreshed to be more colorful and user-friendly, with dynamic input parameter tabs and updated file management.
To date, around 95 scientific papers have been published as outcomes of IndoQCT development, including publications in leading international journals in medical physics such as Medical Physics (Med Phys), Physics in Medicine and Biology (Phys Med Biol), Journa of Applied Clinical Medical Physics (J App Clin Med Phys), Physica Medica (Phys Med), Radiation Physics and Chemistry (Rad Phys Chem), Biomedical Physics and Engineering Express (Biomed Phys Enng), Journal of Medical Physics (J Med Phys), among others. IndoQCT has now been downloaded and used by users in more than 90 countries worldwide.
IndoQCT was developed to address challenges in conventional CT quality control, which is often still conducted manually, time-consuming, especially for daily checks, and prone to subjective bias. With IndoQCT, CT image quality evaluation can be performed automatically and in a standardized manner.
Compared with similar software, IndoQCT offers several advantages, including vendor-independent phantom support, efficient, objective, universal, and portable automatic measurements, and the ability to directly measure image quality metrics from patient clinical images—facilitating more objective and easier dose optimization.
Additional features include texture analysis, noise reduction, multiple window options including multi-window RGB blending, and image reformatting capabilities (sagittal, coronal, oblique, and irregular planes). All image quality parameters are stored in a database, and PDF reports can be generated automatically.
Initially developed in Matlab (2018), IndoQCT was redeveloped in Python (2021) to facilitate wider distribution and further development.
This innovation demonstrates UNDIP’s capacity to develop medical technologies that deliver direct, tangible benefits to society. (Public Communication / UNDIP / source: https://dirinovki.undip.ac.id / ed. Nurul)