PERANAN RADIODIAGNOSTIK IMAGING DALAM DETEKSI DAN PENENTUAN STADIUM PENYAKIT KARSINOMA SERVIKS UTERI

Gynecological examination alone is not sufficient for diagnosing the stage of cervical cancer. Radiologic examination should be conducted to detect distant metastases. Intravenous pyelography, lymphangiography, chest x-ray, barium enema abdominal and pelvic, CT scan, ultrasonography of liver, bone isorop scan are necessary. Key Words: cancer of the cervix uteri, staging, gynecological examination, radiological imaging examinatio

PERANAN RADIODIAGNOSTIK IMAGING DALAM DETEKSI DAN PENENTUAN STADIUM PENYAKIT KARSIONA SERVIKS UTERI

Gynecological examination alone is not sufficient for diagnosing the stage of cervical cancer. Radiologic examination should be conducted to detect distant metastases. Intravenous pyelography, lymphangiography, chest x-ray, barium enema abdominal and pelvic, CT scan, ultrasonography of liver, bone isorop scan are necessary. Key Words 1 cancer of the cervix uteri, staging, gynecological examination, radiological imaging examinatio

DIGITISASI DAN PRINT-OUT CITRA RADIOGRAFI KARSINOMA NASOFARING

Telah dilakukan penelitian tentang proses digitisasi dan print-out citra radiografi karsinoma nasofaring luaran suatu perangkat simulator di RS. DR.Sardjito. Proses digitisasi dilakukan menggunakan sistem frame grabber yang dikembangkan oleh Laboratorium Fisika Citra FMIPA UGM yang terhubung dengan sistem radiografi fluoroskopi. Setelah diperoleh 20 citra untuk sekali proses paparan radiasi, dilakukan proses normalisasi dan proses kalkulasi citra. Proses analisis terhadap citra hasil meliputi analisis visual, histogram, dan profil garis yang dilakukan menggunakan software New Image Analyzer 2007. Untuk kepentingan dokumentasi permanen, citra di-print-out. Berdasarkan penelitian ini, operasi add dapat memberikan kualitas visual citra terbaik, sebagaimana tampak di layar monitor maupun setelah di-print-out. Kualitas citra hasil print-out relatif tetap sepanjang spesifikasi printer yang digunakan sesuai.   Kata kunci: Digitisasi, Print-out, Frame Grabber, Radiografi Fluoroskopi, Karsinoma Nasofarin

Ekstraksi Ciri dan Identifikasi Citra Otak MRI Berbasis Eigenbrain Image

In this research, we exctract and identify MRI brain images based on eigbrain image.  MRI barain images are used to be input for feature exctraction and identitication. Feature exctraction is done by using the eigbrain image. For all reference image, we find image mean and eigbrain image, and the results are stored. If there is test image, we will find the nearest distance of eigenbrain between test image and reference images. The feature extraction is used to identify the image is whether the normal brain image or the brain image with tumor.The results show that the method successfully classifies MRI images into tree clusters: normal,  glioma, and metastase. The input test images can be identified accurately 100% for image  sizes from 256 x 256 pixels to 64 x 64 pixels.Keywords : feature extraction, image identification, MRI medical image, eigenbrain image

Ektraksi Ciri Citra Termogram Payudara Berbasis Dimensi Fraktal

AbstractThe primary purpose of infrared thermography is the locating of thermal differences and anomalies.  Infrared thermography can  detect  numerous  conditions  in  which  an  anomaly is characterized by an increase or decrease in surface temperature. In this research, we specifically applied calculation of fractal dimension method to a total of20 thermograms of normal breasts as well as of those in advanced breast cancer. In addition standard  image  pre-processing  were  also  used  to  enhance  the  detection capabilitity.  Severalmethods in image processing which are pre-processing with canny edge detection, thresholding, calculation of fractal dimension use box-counting and Hausdorff dimension.The results of this research are shown that Hausdorff dimension in the normal thermogramshave range value 0,4 – 0,95 smaller than the advanced thermograms which have value more than  1,26.Finally  this  results  show  that  the  difference  of  fractal dimension  can  be  used  todistinguish between normal and advanced thermograms.Keywords: canny edge detection, thresholding, fractal dimension, box-counting, Hausdorf

Ektraksi Ciri Citra Tcrmogram Payudara Bcrbasis Dimcnsi Fraktal

The primary purpose of infrared thermography is the locating of thermal diffirences and anomalies. Irifrared thermography can detect numerous conditions in which an anomaly is characterized by an increase or decrease in surface temperature. In this research, we specifically applied calculation offractal dimension method to a total of 20 thermograms of normal breasts as well as of those in advanced breast cancer. In addition standard image pre-processing were also used to enhance the df!tection capabilitity. Several methods in image processing which are pre-processi1\u27Jg with canny edge detection, thresholding, calculation offractal dimension use box-counting and Hausdorff dimension. The results of this research are shown that Ilausdorff dimension in the normal thermograms have range value 0,4 - 0,95 smaller than .the advanced thermograms which have value more than 1,26. Finally this results show that the diffirence of fractal dimension can be used to distinguish between normal and advanced thermograms. Keywords: canny edge detection, thresholding,fractal dimension, box-counting, Hausdorf

Primary treatment results of Nasopharyngeal Carcinoma (NPC) in Yogyakarta, Indonesia

INTRODUCTION Nasopharyngeal Carcinoma (NPC) is a major health problem in southern and eastern Asia. In Indonesia NPC is the most frequent cancer in the head and neck area. NPC is very sensitive to radiotherapy resulting in 3-year disease-free and overall survival of approximately 70% and 80%, respectively. Here we present routine treatment results in a prospective study on NPC in a top referral; university hospital in Indonesia. METHODS All NPC patients presenting from September 2008 till January 2011 at the ear, nose and throat (ENT) department of the Dr. Sardjito General Hospital, Universitas Gadjah Mada, Yogyakarta, Indonesia, were possible candidates. Patients were included if the biopsy was a histological proven NPC without distant metastasis and were assessed during counselling sessions prior to treatment, as being able to complete the entire treatment. RESULTS In total 78 patients were included for treatment analysis. The median time between diagnosis and start of radiotherapy is 120 days. Forty-eight (62%) patients eventually finished all fractions of radiotherapy. The median duration of the radiotherapy is 62 days for 66 Gy. Median overall survival is 21 months (95% CI 18–35) from day of diagnosis. CONCLUSION The results presented here reveal that currently the treatment of NPC at an Indonesian hospital is not sufficient and cannot be compared to the treatment results in literature. Main reasons for these poor treatment results are (1) a long waiting time prior to the start of radiotherapy, (2) the extended overall duration of radiotherapy and (3) the advanced stage of disease at presentation.Maarten A. Wildeman, Renske Fles, Camelia Herdini, Rai S. Indrasari, Andrew D. Vincent, Maesadji Tjokronagoro, Sharon Stoker, Johan Kurnianda, Baris Karakullukcu, Kartika W. Taroeno- Hariadi, Olga Hamming-Vrieze, Jaap M. Middeldorp, Bambang Hariwiyanto, Sofia M. Haryana, I. Bing Ta

Detection of the Breast Cancer from Thermal Infrared Images

Thermography can be used as part of an early detection tool which gives women of all ages the opportunity to increase their chances of detecting breast diseases at a very early stage. Breast thermography is a noninvasive prognostic procedure which can predict a tumor growth rate in breast cancer patients. The objective of this research is to acquire the potential of the statistical characteristics of the breast thermogram images for the detection of the breast cancer. For this research we use thermal data images from Sardjito hospital at Yogyakarta, from normal and abnormal breast (detected breast cancer). Firstly, download the breast image thermograms from the InsideIR software of Fluke Ti20 and save them as the inputs to our image processing program. Then adjust the format of the images, convert to grayscale images, and crop them to separate the suspected objects from the background. Finally we tabulated the statistical characteristics of the objects which are the means, standard deviations, and entropy to reveal the abnormalities of breast thermograms. The results show that the method are promising to detect the abnormality on the breast thermogram images. The normal breast thermograms have minimum entropies which differ from those abnormal thermograms in the early stage of breast cancer and thesignificantly from the more advanced of breast cancer

optimized fuzzy logic application for mri brain images segmentation

ABSTRACT In this paper, an optimized fuzzy logic method for Magnetic Resonance Imaging (MRI) brain images segmentation is presented. The method is a technique based on a modified fuzzy c-means (FCM) clustering algorithm. The FCM algorithm that incorporates spatial information into the membership function is used for clustering, while a conventional FCM algorithm does not fully utilize the spatial information in the image. The advantages of the algorithm are that it is less sensitive to noise than other techniques, and it yields regions more homogeneous than those of other methods. Originality of this research is the methods applied on a normal MRI brain image and MRI brain images with tumor, and analyze the area of tumor from segmented images. The results show that the method effectively segmented MRI brain images with spatial information, and the segmented MRI normal brain image and MRI brain images with tumor can be analyzed for diagnosis purpose. In order to identify the area of abnormal mass of MRI brain images with tumor, it is resulted that the area is identified from 8.38 to 25.57 cm 2