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Item Metadata only การเขียนโปรแกรมและการประมวลผลภาพเบื้องต้นด้วยภาษาไพธอนสำหรับนักรังสีเทคนิค(2560) ยุทธพล วิเชียรอินทร์; มหาวิทยาลัยมหิดล. คณะเทคนิคการแพทย์. ภาควิชารังสีเทคนิคItem Metadata only An evaluation of physical performance of conventional x-ray machine using computed radiography system(Mahidol University. Mahidol University Library and Knowledge Center, 2008) Tipvimol MeechaiItem Metadata only Computer-aided classification of alzheimer's disease based on support vector machine with combination of cerebral image features in MRI(Mahidol University. Mahidol University Library and Knowledge Center, 2016) Chonnikan Jongkreangkrai; Yudthaphon Vichianin; Chiraporn Tocharoenchai; Kakanand SrungboonmeeSeveral studies have differentiated Alzheimer's disease (AD) using cerebral image features derived from magnetic resonance (MR) brain images, such as the volume and shape of hippocampus and cerebral cortical thicknesses. In this study, we were interested in combining cerebral image features, including hippocampus and amygdala volumes, and entorhinal cortex thickness to improve the performance of the AD differentiation. Thus, the aim of this study was to investigate the useful cerebral image features obtained from MRI for computer-aided classification of AD patients using a support vector machine (SVM). T1-weighted MR brain images of 100 AD patients and those of 100 normal subjects obtained from Alzheimer's Disease Neuroimaging Initiative were studied. FreeSurfer (software for analysis of brain imaging data) was used to measure hippocampus and amygdala volumes, and entorhinal cortex thicknesses in left and right brain hemispheres. Relative volumes of hippocampus and amygdala were then calculated using total intracranial volume (TIV) to correct the variation in individual head size. SVM was employed for classification of AD patients using five different combinations of cerebral image features (H: left and right hippocampus relative volumes, A: left and right amygdala relative volumes, E: left and right entorhinal cortex thicknesses, HA: left and right hippocampus and amygdala relative volumes, and ALL: all features). Receiver operating characteristic (ROC) analysis and area under the curve (AUC) were used to evaluate the method. AUC values of 5 cerebral feature combinations were 0.8575 (H), 0.8374 (A), 0.8422 (E), 0.8631 (HA), and 0.8906 (ALL), respectively. Although using all features (ALL) provided the highest AUC, there were no statistically significant differences among them except for the A feature. Our results showed that all combinations of cerebral image features derived from T1- weighted MR brain images may be feasible for computer-aided classification of AD patients by using SVM.Item Metadata only A design and assessment of computer assisted instruction (CAI) on computed tomography(Mahidol University. Mahidol University Library and Knowledge Center, 2005) Weena Swatdiswanee; Manus Mongkolsuk; Napapong Pongnapang, the second with Sound without Answer and the third with Sound with Answer by evaluating learning achievement. The sample group were 70 first and second year Radiological Technology Students, Mahidol University. They were randomly separated into three groups...There is a lack of media for teaching Computed Tomography. Computer Assisted Instruction in (CAI) in Computed Tomography may solve this problem. The purpose of this research was to compare three different types of CAI, the first with No SoundItem Metadata only Imaging of complications following treatment with assisted reproductive technology: keep on your radar at each step(2022-01-01) Srisajjakul S.; Mahidol UniversitySince the advent of assisted reproductive technology (ART), the utilization of ART procedures has become increasingly popular among women seeking to establish pregnancy. Radiologists are therefore likely to encounter the various complications of ART... of an additional imaging modality, such as computed tomography or magnetic resonance imaging, as a problem-solving tool. This article briefly discusses the steps involved in assisted reproduction. Its aim is to help radiologists become familiarizedItem Open Access การประเมินความพึงพอใจต่อโปรแกรมคอมพิวเตอร์วิเคราะห์อัตราการถ่ายภาพรังสีเอกซ์ซ้ำ(2023) อิษฏ์ สุบินมงคล; วรนุช เอี่ยมปา; ณัฐพนธ์ แตงภู่; สุรยุทธ เกิดสุข; มหาวิทยาลัยมหิดล. คณะเทคนิคการแพทย์. ภาควิชารังสีเทคนิค, the program was tested and satisfaction surveys in terms of ease of use and utility were evaluated. Total of 18 study participants were stratified into 2 groups according to work status. Group 1 consisted of alumni in radiological technology (n = 12) who... tested the program based on the simulated data of repeated exams. Group 2 was comprised of radiologic technologists and radiologic technologist assistants, full-time staff in a department of diagnostic radiology (n = 6) , who tested the programPublication Metadata only Patient’s medical image mobile controller(2017-10-19) Patcharathicha Burananithi; Chayanit Ditsom; Thipnantana Triphom; Pattanasak Mongkolwat; Mahidol University© 2017 IEEE. Medical imaging modalities generate medical images of a patient’s body to assist medical doctors to provide accurate medical diagnoses to the patient. Typical imaging interpretations are done by a board certified physician, called... to another location to seek for a consultation from a radiology about images in question. It is a very time consuming process and inefficient use of resources. This project offers an app called “REMOTIMAGE” that offers an easy access to view medical imagesPublication Open Access การวิเคราะห์และออกแบบระบบสารสนเทศในการทำงานทางทันตแพทย์(2560) บวร คลองน้อย; วันวิสาข์ ศรีสุเมธชัย; Boworn Klongnoi; Vanvisa Sresumatchai; มหาวิทยาลัยมหิดล. คณะทันตแพทยศาสตร์. ภาควิชาศัลยศาสตร์ช่องปากและแม๊กซิลโลเฟเซียล; มหาวิทยาลัยมหิดล. คณะสาธารณสุขศาสตร์. ภาควิชาชีวสถิติ, using the following three steps. The goal of this study was to develop and design a clinical application to facilitate data management in dental clinical practice. The study involved the application of information technology to the process... of gathering clinical dental information pertaining to patient history, dental treatment, follow-up and reporting in order to facilitate clinical practice. This prototype dental information system is to serve as an information technology model for widerPublication Open Access Intestinal capillariasis in the 21st century: clinical presentations and role of endoscopy and imaging(2014) Julajak Limsrivilai; Supot Pongprasobchai; Piyaporn Apisarnthanarak; Sathaporn Manatsathit; Mahidol University. Faculty of Medicine, Siriraj Hospital. Division of GastroenterologyBackground: Intestinal capillariasis is one of the common causes of malabsorption in the East. Reports emphasizing the roles of clinical, endoscopic and radiologic findings of intestinal capillariasis are limited. Methods: Retrospective review..., parasites were discovered in tissue biopsy from endoscopy in 1 from 10 esophagogastroduodenoscopies (EGD), 0 from 7 colonoscopies, 3 from 5 push enteroscopies, and 3 from 5 balloon-assisted enteroscopies (BAE). Endoscopic findings included scallopingItem Open Access Ultrasound calibration toolkit with a high-adjustability feature based on user requirements(2011) Maria Chatrasingh; Jackrit Suthakorn; Songpol Ongwattanakul; Cholatip Wiratkapun; Somkrit Shuijantuq; Jackrit Suthakorn; Mahidol University. Center for Biomedical and Robotics Technology; Mahidol University. Faculty of Engineering. Department of Biomedical Engineering; Mahidol University. Faculty of Engineering. Department of Computer Engineering; Mahidol University. Faculty of Engineering; Mahidol University. Faculty of Engineering. Department of Radiology; Mahidol University. Faculty of Medicine Ramathibodi Hospital; Mahidol University. Faculty of Veterinary Science3D freehand Ultrasound reconstruction is one of many choices to assemble 3D ultrasound volume from 2D ultrasound images with benefit in low-cost operations, conveniency and ease of usage which can be applied to intraoperative imaging. Ultrasound calibration is the procedure used to find the position and orientation of each acquired 2D ultrasound image in 3D space, hence is needed to be performed before freely moving the ultrasound probe to collect images and reconstruct 3D ultrasound volume. In this paper, we propose our ultrasound calibration system, programmed to be an automated calibration tool—the most convenient and suitable for regular ultrasound calibration performance. The system provides user interface for collecting data from calibration performance, automated ultrasound image segmentation and calibration in an orderly manner. The users are not required to manually select the proper image set or extract images’ feature as an input for the system as opposed to other regular procedures. An option to switch to semiautomatic mode is also added to overcome the problem of segmenting the input images which are low in quality. Hopkins’ phantom and N-wired phantom are supported by the prototype system for the sake of further development.