Archiving System Research Articles

MI-DenseCFNet: deep learning–based multimodal diagnosis models for Aureus and Aspergillus pneumonia

ObjectiveTo build and merge a diagnostic model called multi-input DenseNet fused with clinical features (MI-DenseCFNet) for discriminating between Staphylococcus aureus pneumonia (SAP) and Aspergillus pneumonia (ASP) and to evaluate the significant correlation of each clinical feature in determining these two types of pneumonia using a random forest dichotomous diagnosis model. This will enhance diagnostic accuracy and efficiency in distinguishing between SAP and ASP.MethodsIn this study, 60 patients with clinically confirmed SAP and ASP, who were admitted to four large tertiary hospitals in Kunming, China, were included. Thoracic high-resolution CT lung windows of all patients were extracted from the picture archiving and communication system, and the corresponding clinical data of each patient were collected.ResultsThe MI-DenseCFNet diagnosis model demonstrates an internal validation set with an area under the curve (AUC) of 0.92. Its external validation set demonstrates an AUC of 0.83. The model requires only 10.24s to generate a categorical diagnosis and produce results from 20 cases of data. Compared with high-, mid-, and low-ranking radiologists, the model achieves accuracies of 78% vs. 75% vs. 60% vs. 40%. Eleven significant clinical features were screened by the random forest dichotomous diagnosis model.ConclusionThe MI-DenseCFNet multimodal diagnosis model can effectively diagnose SAP and ASP, and its diagnostic performance significantly exceeds that of junior radiologists. The 11 important clinical features were screened in the constructed random forest dichotomous diagnostic model, providing a reference for clinicians.Clinical relevance statementMI-DenseCFNet could provide diagnostic assistance for primary hospitals that do not have advanced radiologists, enabling patients with suspected infections like Staphylococcus aureus pneumonia or Aspergillus pneumonia to receive a quicker diagnosis and cut down on the abuse of antibiotics.Key points• MI-DenseCFNet combines deep learning neural networks with crucial clinical features to discern between Staphylococcus aureus pneumonia and Aspergillus pneumonia.• The comprehensive group had an area under the curve of 0.92, surpassing the proficiency of junior radiologists.• This model can enhance a primary radiologist’s diagnostic capacity.

Use of an ultrasound picture archiving and communication system to answer research questions: Description of data cleaning methods.

Ultrasound picture archiving and communication system (PACS) databases are useful for quality improvement and clinical research but frequently contain free text that is not easily readable. Here, we present a method to extract and clean a semi-structured echocardiography (cardiac ultrasound) PACS database. Echocardiography studies between 1 January 2010 and 31 December 2018 were extracted using a data mining tool. Numeric variables were recoded with extreme values excluded. Analysis of free text, including descriptions of the heart valves and right and left ventricular size and function, was performed using a rule-based system. Different levels of free text variables were initially identified using commonly used phrases and then iteratively developed. Randomly selected sets of 100 studies were compared to the electronic health record to validate the data cleaning process. The data validation step was performed three times in total, with Cohen's kappa ranging between 0.88 and 1.00 for the final set of data validation across all measures. Free text cleaning of semi-structured PACS databases is possible using freely available open-source software. The accuracy of this method is high, and the resulting dataset can be linked to administrative data to answer research questions. We present a method that could be used to answer clinical questions or to develop quality improvement initiatives.

Surgical versus nonsurgical management of lumbar degenerative spondylolisthesis based on spinal canal cross-sectional area.

Disability and pain associated with lumbar degenerative spondylolisthesis (LDS) result in a significant burden on both the healthcare costs and patients' quality of life. Currently, there exists controversy regarding employment of either nonsurgical management (NSM) or surgical management (SM) in a clinical setting. Spinal canal cross-sectional area (SCA) has been an important morphological parameter for the analysis of LDS. However, there is lack of research about the comparative value of NSM and SM according to SCA. Moreover, previous research have not yet evaluated the clinical most suitable cutoff values of SCA. The objective of this research was to evaluate the effective of NSM and SM for LDS using SCA as an objective morphological parameter. The axial T2 magnetic resonance imaging images were obtained from each patient. We collected SCA samples from 149 patients with LDS. 72 patients underwent SM and the rest did NSM. We measured SCA at the L4/5 LDS on magnetic resonance imaging using a picture archiving and communications system. We measured SCA at the intervertebral disk posterior border, turning down to reach the facet joint side on the opposite edge at the L4/5 level. The average SCA value was 114.34 ± 48.11 mm2 in the NSM group and 69.88 ± 27.87 mm2 in the SM group. Therefore, the SM group had considerably lower SCA (P < .001). In view of the effectiveness of SCA as a prediction factor of surgical option, Receiver Operating Characteristic curve analysis show the optimal cutoff value for SCA as 83.21 mm2, with 70.8% sensitivity, 71.4% specificity, and an area under the curve of 0.80 (95% CI, 0.73-0.87). The narrower the SCA, the higher the probability of SM. Thus, it is proposed that to evaluate surgical decision making, the pain physician should carefully inspect the SCA.

Exposure frequency and radiation dose from CT examinations in Huaian.

This study quantified the exposure frequency and established the local diagnostic reference levels (DRLs) for the most common computed tomography (CT) examinations. A combined method census and sampling survey was used to quantify both frequency and radiation dose of CT examinations. Data were acquired through Picture Archiving and Communication System (PACS) or Radiology Information System (RIS). The annual frequency of CT examinations was 239.8 per 1000 inhabitants. The P75 of volume CT dose index (CTDIvol) to adult patients from CT scanning for head, chest, abdomen and lumbar spine examinations were 63.0, 12.4, 20.0 and 24.0mGy, respectively. The P75 of dose-length product were 858.6, 416.0, 620.7 and 559.2mGy·cm, respectively. This dose audit of CT practice can act as a starting point for establishing Huaian local DRLs and could be a reference for dose optimisation in China. This study compared DRLs in different countries and analysed some reasons for the rapid growth of CT examination frequency in Huaian.

Electronic Archive Management in an Effort to Improve Service Quality at IAIN Palangka Raya

&lt;p&gt;The development of internet technology in Indonesia is entering the digital era which greatly affects the community to fulfill information needs through archives in electronic form. This study aims to review the management of electronic archives in improving the quality of service at IAIN Palangka Raya as one of the best archive units in Central Kalimantan. The analysis of electronic archive management in improving service quality is reviewed through the dimensions of tangible, responsive, assurance, reliability, and empathy. This study uses a qualitative descriptive method with data collection techniques carried out by triangulation with primary and secondary data sources. Data collection methods were obtained through questionnaires, interviews, and documentation by testing data sources through checking data from sources that were obtained repeatedly. In analyzing the data, the researcher used data collection, data reduction, data display, and conclusion drawing. The results of the study as a whole explain that the application of electronic archive management has been proven to improve service quality through tangible, responsive, assurance, reliability, and empathy dimensions at the archives unit of IAIN Palangka Raya. This condition is due to the quality of user services to the archive access service management system at IAIN Palangka Raya based on the percentage shown is satisfied. However, the electronic archive service quality management system at IAIN Palangka Raya still needs to be completed and improved because some services are still manual and not standardized for archive management from ANRI.&lt;/p&gt;

Study on the Consistency Between Automatic Measurement Based on Convolutional Neural Network Technology and Manual Visual Evaluation in Intracavitary Ultrasonic Cine of Anterior Pelvic.

This study was to evaluate the application of automatic measurement based on convolutional neural network (CNN) technology in intracavitary ultrasound cine of anterior pelvic. A total of 500 patients who underwent pelvic floor ultrasound examination at Peking University Shenzhen Hospital from July 2021 to February 2022 were retrospectively retrieved by the picture archiving and communication system (PACS) system, and 300 cases were used as a training set. The training set was labeled by three experienced ultrasound physicians to train CNN models and develop an automatic measurement software. The remaining 200 cases were used as a test set. Automatic measurement software identified relevant anatomical structures frame by frame and determined the two frames with the greatest difference, calculated the bladder neck descent (BND), urethral rotation angle (URA), and retrovesical angle (RA). Meanwhile, two experienced ultrasound physicians evaluated the resting frame and the maximum Valsalva frame on the cines by manual visual evaluation, labeled the anatomical structures in the corresponding frame, such as the inferoposterior margin of pubic symphysis, the mid-axis of pubic symphysis, bladder contour, and urethra in the front, and calculated BND, URA, and RA. Considering that the residual urine volume (RUV) in the bladder may affect the results, enrolled patients were grouped according to the RUV (10-50 mL, 50-100 mL, and >100 mL). The consistency of the results by automatic measurement and manual visual evaluation was evaluated using the intraclass correlation coefficient (ICC) and the Bland-Altman graph. Of the 200 cases in the test set, 120 cases were successfully identified by the CNN automatic software with a 60% recognition rate. In the case of successful identification, the ICC of manual visual evaluation measurement and automatic measurement was 0.936 (BND), 0.911 (URA), 0.756 (RA in rest), and 0.877 (RA at maximum Valsalva), respectively. In addition, the RUV had a negligible effect on the consistency. The Bland-Altman plot shows the proportion of samples outside the limit was below 5%. CNN-based automatic measurement software exhibited high reliability in anterior pelvic measurement, which results in a significantly enhanced measurement efficiency.

Web Based Archives Storage System at Perumda Air Minum Tirto Negoro Sragen

PERUMDA Tirto Negoro Drinking Water, Sragen Regency is one of the regional-owned business units engaged in the distribution of clean water for the community in Sragen. PERUMDA Tirto Negoro Drinking Water Sragen has many parts in its business process. This makes many important documents that must be stored and sometimes makes searching for a document a problem because you have to search first in the archive ledger that is recorded manually. Information systems in a government or private agency are needed in order to make the performance of an agency run well. Therefore, it is important to create a web-based system for archive storage so that the search is more effective and does not take too long. This web-based system application uses PHP programming methods and web-based codeIgniter as well as MySQL as database storage. The result of this design is a web-based archive information system that can manage input for recording letters, searching for letters, and storing archives digitally.

The utility of the abdominal series in the emergency setting: a retrospective review

PurposeThe abdominal series (AXR) remains a frequently ordered test in the emergency department (ED), despite existing literature questioning its utility. The aim of this study was to characterize the use of the AXR in the ED by quantifying how often it is ordered and the frequency of subsequent imaging. Additionally, a time estimate in ED associated with the AXR was quantified. We hypothesized that there would be a low clinical utility of the AXR, and long associated time period spent in the ED.MethodsA retrospective audit of AXRs performed in the ED from January to December 2019 was performed. The local picture archiving and communication system (PACS) and electronic medical record were used to collect the variables.ResultsOf 701 AXRs, 438 (62.4%) were reported normal, and 263 (37.6%) were abnormal. A Chi Squared test showed that the two variables (abdominal series result and follow up imaging completion) were significantly related, with p < 0.001. However, the effect size was small (Nagelkerke R square = 0.022). The average time spent in the ED for these patients was 7.27 h, and the average time between the AXR being ordered and interpreted was 1.31 h.ConclusionThe majority of AXRs were reported as normal. Our results showed that AXR had a statistically significant, but low clinically significant predictive ability on subsequent imaging ordering. This supports our hypothesis that the AXR is of low clinical utility with respect to the rate of ordering follow up imaging. The AXR also translated to a quantifiable time interval during the patient’s stay in ED. Minimizing overuse of the AXR may result in a decrease in patient duration in the ED.

СТАНОВЛЕНИЕ И РАЗВИТИЕ СИСТЕМЫ РАЙОННЫХ И ГОРОДСКИХ АРХИВОВ В 1934-1991 ГГ.: НА ПРИМЕРЕ СВЕРДЛОВСКОЙ ОБЛАСТИ

The paper deals with the issue of forming a system of local archives in Russia on the example of functioning of district (city) archives of the Sverdlovsk region from 1934 to 1991. The subject of the study is the network of the lower level archives in the Middle Urals. Based on the historical-institutional approach, an attempt is made to reconstruct the state policy in the field of archiving. The article provides a comprehensive analysis of archival policy, the institutional system of the local archives management and the activity areas as well as the dynamics of the change in the number of archival institutions. Separate consideration is given to the special role of the departments and branches in the regional archival systems. The stages of creating an archival network are dealt with sequentially: the search for a model of a local archival system in Soviet Russia, its implementation (1919–1934), the beginning of the formation of local archives in the Sverdlovsk region (1934–1938), the subordination of the archives to the NKVD-MVD (1939–1956) and their reassignment to the district executive committees (1956–1991). The article concludes on the specific features of the information culture in the USSR, the essential principles of the Soviet archival system and the contradictory trends in the development of the key element of the Russian archival system. The research was carried out on the basis of the documents from the State Archives of the Sverdlovsk Region.

Implementation and performance estimation of new archive system for the TLS control system

The TLS (Taiwan Light Source) is a third generation of synchrotron light source that has been operated for more than 25 years, and its control system is a proprietary designed system. The TLS control system maintenance is difficult because of component outage problems. Some parts of the control system are being rejuvenated with the help of the EPICS framework used in the TPS (Taiwan Photon Source) control system to ensure that TLS continues to operate normally, saving both manpower and money. A new EPICS archive system was needed to efficiently record various machine parameters and status information during routine operations. As a result, the EPICS Archiver Appliance has been evaluated as suitable for deploying to archive TLS machine data which encapsulated the PV (Process Variable) channel access. Specific graphical user interfaces and API packages have been supported for quickly retrieving archived data, as well as a plotting function for easy diagnosis. Furthermore, the performance of this new TLS archive system has been estimated, and related system resources will be manually adjusted for better service. The efforts will be summarized in this paper.

DICOM: A Revolution in Facet of Maxillofacial Imaging

Digital Imaging and Communications in Medicine (DICOM) is a paradigm that enables interoperability between health-related digital applications, imaging devices, and Picture Archiving and Communications Systems (PACS). DICOM has its foundation in the USA, established by the American College of Radiology (ACR) and the National Electrical Manufacturers Association (NEMA) in 1983 with the objective of establishing a “gold standard” for monitor and print-copy devices. In 1996, the American Dental Association (ADA) became a member of DICOM, followed by the American Academy of Oral and Maxillofacial Radiology and the American Association of Orthodontics. A working committee specifically for dentistry (WG-22) was initiated in 2003, and in 2005, it was finally adopted as an international standard. Currently, it is internationally recognised as the standard configuration for compatibility between dental radiological images and various scanners and digital X-ray devices. DICOM synchronises network communication and facilitates the exchange of patient data through a transmission protocol. The purpose of the present paper is to emphasise the reliance of digital dentistry on DICOM and its relationship with Three-Dimensional (3D) printing.

Construction of a Temporary Radiological Image Viewing Network for Large-scale Disasters

The Ministry of Health, Labor and Welfare mandated the creation of the business continuity plan (BCP) for disaster key hospitals on March 31, 2017. Supposing the hospital information system (HIS) failure occurred, the picture archiving and communication system (PACS) also suffers obstacles, we assumed building a new network was necessary for radiological examination images. The purpose of this study was to investigate whether building a new network for radiological examination images is necessary in an emergency. Using wireless fidelity (Wi-Fi), the new network consisting of one image server and two tablet terminals A and B was constructed. The study measured the portable image transfer time for various stages of the network. The results were as follows: Transfer time from the mobile X-ray unit to the image server was 4.12±0.86 s, that from the image server to the tablet device A was 5.14±0.71 s, and that from the image server to the tablet device B was 7.32±1.66 s. Therefore, the new network configuration can provide a reliable means of accessing radiological images during emergency situations when the HIS and PACS may experience obstacles or failures.

Correlation between cephalic screw positioning of Standard Gamma 3 Nail for intertrochanteric fractures and cut-out incidence.

Lateral fractures of proximal femur are the most frequent fractures in elderly people. Internal fixation using medullary nails is the gold standard of treatment (Gamma 3 nail is the most implanted device) due to reduced incidence of complications than other devices. We report our experience in treating this kind of fractures with Gamma 3 nail, between January 2015 and December 2021. We performed a retrospective cohort study of patients treated in our orthopaedic department; level of clinical care is III: 559 patients (431 females and 128 males, with an average age of 85.3years) with lateral femoral neck fracture. All patients were surgically treated with Gamma 3 standard nail (SGN). We evaluated preliminary X-rays to classify fractures, according to AO-OTA classification and post-operative X-ray to verify cephalic screw position site, according to areas described by Cleveland in 1959: we measured tip-to-apex distance (TAD) and tip-to-apex calcar referred distance (CalTAD). Finally Chang reduction quality criteria (CRQC) for fracture reduction of trochanteric fractures were determined using preoperative or postoperative Antero-Posterior (AP) and lateral radiographs in a Picture Archiving and Communication System (PACS). Incidence of cut-out was evaluated in relation with these parameters. Patients were divided into 2 groups: first group had cephalic screw in optimal positions (5-8-9), the other group had cephalic screw in other positions. In 328 patients (58.7%) screw was in positions 5-8-9, in 231 patients (41.2%) screw was in not-optimal position. Median TAD was 19.1±7.0mm (range=0.0-50.5); in 463 patients (82.8%) TAD was≤25mm. Median CalTAD was 21.4±4.7mm (range=5.7-39.2); in 105 patients (79.4%) CalTAD was≤25mm. Cut-out was observed in 8 cases (1.43%). Multivariate analysis showed a significant correlation (p<0,05) between incidence of cut-out and fracture type 31A2 and with TAD values>25mm. Cephalic screw position did not influence incidence of cut-out. In order to obtain fracture healing with a low risk of failure, in particular cut-out, it is necessary to obtain good reduction of fracture and optimal lag screw position in order to achieve a TAD inferior to 25mm.

Proposal to Create a System of Archival Materials for the Preservation of Historical Objects of St. Petersburg

The subject of the study is the interest of specialists in the study and analysis of cultural heritage sites of St. Petersburg. The object of the study is an information resource on this topic - the city archives and electronic resources of St. Petersburg. The purpose of the study is to substantiate the need to optimize access to complete and reliable information on the cultural heritage of St. Petersburg. This information is disassembled from a variety of unrelated sources, which complicates the work of specialists in terms of quick access to complete information on the object. Analysis of the studies showed the relevance of the issue in obtaining materials on cultural heritage objects, but the method of optimal access to them has not been developed. On the basis of the considered problems, a hypothesis was built and an empirical study was carried out in the form of a survey of specialists in the sphere of preservation of cultural heritage objects of St. Petersburg. The results of the study made it possible to identify the problem of obtaining information and suggest a way to solve it. A proposal has been formulated to optimize the work of specialists, in terms of access to reliable and complete data on the cultural heritage of St. Petersburg. To do this, it is necessary to systematize archival sources and information systems for each object of cultural heritage into a single database. The authors have designated sections and headings of a single information source. The practical value of the study lies in the development of a proposal for the prompt receipt of information necessary for the design and other studies of cultural heritage sites in St. Petersburg. Its structure and approach to implementation are disclosed. A potential audience of specialists working in the field of conservation, use, promotion and state protection of cultural heritage sites of St. Petersburg is indicated. The results of the study can draw the attention of specialized specialists to the identified issues and become the basis for creating a system of archival materials for the preservation of historical objects of St. Petersburg.

RECIST-Induced Reliable Learning: Geometry-Driven Label Propagation for Universal Lesion Segmentation.

Automatic universal lesion segmentation (ULS) from Computed Tomography (CT) images can ease the burden of radiologists and provide a more accurate assessment than the current Response Evaluation Criteria In Solid Tumors (RECIST) guideline measurement. However, this task is underdeveloped due to the absence of large-scale pixel-wise labeled data. This paper presents a weakly-supervised learning framework to utilize the large-scale existing lesion databases in hospital Picture Archiving and Communication Systems (PACS) for ULS. Unlike previous methods to construct pseudo surrogate masks for fully supervised training through shallow interactive segmentation techniques, we propose to unearth the implicit information from RECIST annotations and thus design a unified RECIST-induced reliable learning (RiRL) framework. Particularly, we introduce a novel label generation procedure and an on-the-fly soft label propagation strategy to avoid noisy training and poor generalization problems. The former, named RECIST-induced geometric labeling, uses clinical characteristics of RECIST to preliminarily and reliably propagate the label. With the labeling process, a trimap divides the lesion slices into three regions, including certain foreground, background, and unclear regions, which consequently enables a strong and reliable supervision signal on a wide region. A topological knowledge-driven graph is built to conduct the on-the-fly label propagation for the optimal segmentation boundary to further optimize the segmentation boundary. Experimental results on a public benchmark dataset demonstrate that the proposed method surpasses the SOTA RECIST-based ULS methods by a large margin. Our approach surpasses SOTA approaches over 2.0%, 1.5%, 1.4%, and 1.6% Dice with ResNet101, ResNet50, HRNet, and ResNest50 backbones.

Implementation of Various Imaging Modalities in the Diagnosis of Hepatic Cystic Lesions

Background: Hepatic cysts (HCs) lesions are common in clinical practice. These lesions can be benign and have no clinical significance, or they can be malignant and potentially fatal. Aim: The current manuscript aimed to assess HCs with varying image modalities and the prevalence of it among gender as well as link the HCs with age, in the two main governmental hospitals in Taif city. Materials and methods: 100 confirmed diagnosed HCs were retrieved from period of 2020 to 2023, through picture archiving and communication system (PACs), they divided into groups according to gender and age, as well as dividing cysts according to their radiographic appearances Microsoft Excel was used to analyzed the data achieved. Results: The older age more than 46 years and female are more exposed to HCs than male and younger age respectively. The HCs types, appearances, classification and characterization in each image modality are tabulated in specific tables. While simple cysts were benign, complicated cysts, appeared as echinococcosis, and cystic neoplasms that, require early and accurate diagnosis. Conclusion: The findings of current study matched the findings of previous studies. More studies are required in the highlights of current findings.

Intention to use picture archiving and communication system and its predictors among physicians and nurses at specialized teaching hospitals in Amhara region, Northwest Ethiopia

Intention to use picture archiving and communication system and its predictors among physicians and nurses at specialized teaching hospitals in Amhara region, Northwest Ethiopia

Verification of Archive System Opacity With Bounded Labeled Petri Nets

Verification of Archive System Opacity With Bounded Labeled Petri Nets

A study of applications in archive management empowered by artificial intelligence

Abstract As a critical component of information management, the development of digital and information archive systems enhances both the efficiency and quality of enterprise operations, thereby increasing economic value. This paper employs the ReLU activation function to augment the non-linear capabilities of the neural network model. Additionally, we introduce the MP-CNN model, designed to extract and recognize textual content from archival images. These images are initially processed using the BP neural network algorithm, followed by grayscale conversion for clarity, and subsequently backed up for analytical purposes. The implementation of intelligent archive management resulted in a more than 35% improvement in efficiency. The distribution interval of the Return on Investment (ROI) values from archival data at the test site ranged between [0,5], displaying a concentrated pattern that aligns with the typical economic value distribution. The integration of AI technology in archive management not only streamlines processes but also maximizes resource utilization and enhances returns.

The Importance of Virtual Reality in the Conservation of Cultural Heritage: An Examination of the Penataran Temple Case Study in Blitar Regency, East Java

Introduction: Visualization of digital archives and applications play a crucial role in preserving cultural heritage. Utilizing efficient 3D scanning, modeling, and deep learning-based reconstruction techniques enables the revelation of hidden parts of Penataran Temple Sample in Blitar Regency, East Java. This research emphasizes the utilization of virtual reality (VR) systems as digital repositories for Penataran Temple Example, facilitating in-depth exploration of this cultural asset. The importance of applications such as guided tours, computer-aided design, and geographic information systems increases in the examination of cultural heritage, offering a deeper and more comprehensive understanding of the preserved cultural wealth. Methods: The methodology used in this research includes photogrammetry, accurate photogrammetric assessment, and the utilization of deep learning. Information obtained from these three avenues is combined to construct a three-dimensional Point cloud, serving as the foundation for the digital repository of Penataran Temple Sample. Virtual reality (VR) platforms enable individuals to observe the temple through both first-person and aerial perspectives, featuring customizable interfaces within the virtual reality setting. Results: The research activities are dedicated to creating a digital repository for Penataran Temple Sample located in Blitar Regency, East Java using 3D Point cloud data. Data acquisition of Point cloud for comprehensive coverage of temple structures and hidden reliefs is achieved through the application of advanced photogrammetric measurements and deep learning technology. A virtual reality (VR) system is developed to offer deep visualization capabilities, including first-person perspectives and aerial views, fostering a profound understanding of the cultural significance and architectural design of the temple. To enhance the realism of the VR experience and enable mapping functions, a 3D simulation engine is incorporated. The utilization of the first-person perspective allows detailed virtual exploration and collision detection, while aerial views contribute to a comprehensive understanding of the temple architecture. Discussion: The digital archive system of Penataran Temple Sample leverages Virtual Reality (VR) technology to integrate 3D Point cloud data from various sources. This system facilitates both first-person perspectives and aerial perspectives, allowing comprehensive examination and in-depth understanding of the temple architectural layout. Accurate 3D data generation is achieved through the utilization of Unmanned Aerial Vehicles (UAVs), photogrammetry technology, and deep learning techniques. Conclusion: The investigation focuses on the utilization of VR technology as a digital repository at Penataran Temple Sample, employing 3D Point cloud methodology. Its primary aim is to provide engaging visual encounters and comprehensive understanding of the architectural complex. Furthermore, this research will encompass detailed 3D measurements and the creation of high-precision VR renderings of the complete temple structures. Additionally, there are opportunities to design VR applications for remote utilization and to produce stereoscopic perspectives through holographic means. The anticipation is that VR will play a significant role in the preservation and interpretation of the heritage of Penataran Temple Sampled in Blitar Regency, East Java, while also demonstrating potential for diverse applications across various platforms and settings.