A5003550372- Advanced Radiotherapy Techniques
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Radiation Therapy and Dosimetry
- Advanced X-ray and CT Imaging
- Radiation Dose and Imaging
- Lung Cancer Diagnosis and Treatment
- Hepatocellular Carcinoma Treatment and Prognosis
- Advanced MRI Techniques and Applications
- Endometrial and Cervical Cancer Treatments
- Medical Imaging and Analysis
- Advanced Neural Network Applications
- Brain Tumor Detection and Classification
- Bone Tissue Engineering Materials
- Photoacoustic and Ultrasonic Imaging
- Management and Optimization Techniques
- Artificial Intelligence in Healthcare and Education
- Dental Implant Techniques and Outcomes
- AI in cancer detection
- Digital Imaging for Blood Diseases
- Digital Radiography and Breast Imaging
- Orthopaedic implants and arthroplasty
University of Indonesia
2018-2024
University Medical Centre Mannheim
2014-2023
University Hospital Heidelberg
2015-2023
Heidelberg University
2014-2023
A knowledge-based radiation therapy (KBRT) treatment planning algorithm was recently developed. The purpose of this work is to investigate how plans that are generated with the objective KBRT approach compare those rely on judgment experienced planner. Thirty volumetric modulated arc were randomly selected from a database prostate by planners (expert plans). anatomical data (CT scan and delineation organs) these patients given novice no prior experience. inexperienced planner used predict...
Introduction: the quality of radiotherapy treatment plans varies across institutions and depends on experience planner. For purpose intra- inter-institutional homogenization plan quality, we present an algorithm that learns organs-at-risk (OARs) sparing patterns from a database high plans. Thereafter, predicts dose similar organs will receive in future prior to planning basis anatomies organs. The predicted provides for individualized specification objectives, objective assessment
Spirometry induced deep-inspiration-breath-hold (DIBH) reduces intrafractional motion during upper abdominal stereotactic body radiotherapy (SBRT). The aim of this prospective study was to evaluate whether surface scanning (SGRT) is an adequate surrogate for monitoring residual internal DIBH. Residual detected by SGRT compared with experimental 4D-ultrasound (US) and detection benchmark (diaphragm-dome-position in kV cone-beam computed tomography (CBCT) projections).
An accurate and timely diagnosis is of utmost importance when it comes to treating brain tumors effectively. To facilitate this process, we have developed a tumor classification approach that employs transfer learning using pre-trained version the EfficientNet V2 model. Our dataset comprises images been categorized into four distinct labels: (glioma, meningioma, pituitary) normal. As our base model, employed model with variations B0, B1, B2, B3 for experiments. adapt number label categories,...
BACKGROUND Digital radiography has been used to evaluate the progress of bone growth with a collagen-hydroxyapatite implant in rabbit tibias. This study aimed introduce digital methods that provide comprehensive data availability for continuous information retrieval from preparation cultivation period.
 METHODS 38 radiographs were divided into 3 treatment groups, namely single defect without (control), single-implant, and three-implant. Radiographic acquisitions performed at time...
Cervical cancer poses significant global health challenges, necessitating innovative treatment approaches. This study explores the integration of Support Vector Regression (SVR) in predicting radiation doses for cervical radiotherapy, aiming to enhance precision Intensity Modulated Radiation Therapy (IMRT). We developed and validated an SVR model using datasets 102 173 cases predict dose distributions based on radiomic dosiomic features. Our methodology involved pre-processing, feature...
Optimization of radiation dose distribution in clinical planning using a Treatment Planning System (TPS) for radiotherapy patients is crucial to achieving balance between therapeutic effectiveness and patient safety. However, this process time-consuming relies heavily on the expertise medical physicists. In study, prediction machine learning was performed Target Volume (PTV) Organ at Risk (OAR) brain cancer cases Volumetric Modulated Arc Therapy (VMAT) technique. The DICOM data were...
Cervical cancer poses significant global health challenges, necessitating the need for innovative treatment approaches. This study addresses gap in current radiotherapy methods by integrating Support Vector Regression (SVR) to predict radiation doses cervical treatment, thereby enhancing precision of Intensity Modulated Radiation Therapy (IMRT). Using datasets from 102 and 173 cases, we developed validated an SVR model dose distributions based on radiomic dosiomic features. The demonstrated...
This study evaluates the effect of Automatic Tube Current Modulation (ATCM) technique on pitch and effective diameter variation in estimating dose values noise levels for abdominal examination Philips Ingenuity CT scan machine using in-house Phantoms. The phantoms are oval shape with three sizes, namely 23.2 cm, 28.3 33.3 cm to represent region. size Phantoms were scanned an 128 protocol exposure parameters 120 kVp tube voltage, Dose Right Index (DRI) variations 10,11,12,13, 14, 0.6; 0.8;...
The IMRT planning technique applies the concept of irradiation, which is controlled automatically by a computer. An plan aligned with trial-and-error approach and still involves non-intuitive, iterative steps based on planner’s subjective decision. Neural Network method used in radiotherapy determining plans lung cancer cases. This to predict dose distribution previous data. purpose using this neural network PTV volume validation plan, also predicting for doses that cover 95% target volume....
________________________________________________________________________________monitored with Calypso (Varian) for gating and tracking treatments, compensated the PerfectPitch couch tracking.The dose in moving tumor was measured Gafchromic EBT2 (ISP) films.Changes homogeneity indices (ΔH1-99) between films planned distributions their gamma agreement scores using 3%/3mm (GS3%/3mm) were evaluated.The film areas receiving more than minimum (A>Dmin) calculated.OAR doses from treatment plans...