Hasil Pencarian  ::  Simpan CSV :: Kembali

Hasil Pencarian

Ditemukan 90 dokumen yang sesuai dengan query
cover
Xiaoxia, Yin
"Terahertz biomedical imaging has become an area of interest due to its ability to simultaneously acquire both image and spectral information. Terahertz imaging systems are being commercialized, with increasing trials performed in a biomedical setting. As a result, advanced digital image processing algorithms are needed to assist screening, diagnosis, and treatment. "Pattern recognition and tomographic reconstruction" presents these necessary algorithms, which will play a critical role in the accurate detection of abnormalities present in biomedical imaging. Terhazertz tomographic imaging and detection technology contributes to the ability to identify opaque objects with clear boundaries, and would be useful to both in vivo and ex vivo environments, making this book a must-read for anyone in the field of biomedical engineering and digital imaging."
New York: [Springer, ], 2012
e20418320
eBooks  Universitas Indonesia Library
cover
Kransdorf, Mark J.
Philadelphia: Wolters Kluwer Health; Lippincott Williams & Wilkins, 2014
616.994 KRA i
Buku Teks SO  Universitas Indonesia Library
cover
Dahnert, Wolfgang
Philadelphia: Lippincott Williams & Wilkins, 2011
616.07 DAH r
Buku Teks SO  Universitas Indonesia Library
cover
"This book is intended as an introduction to neuroradiology and aims to provide the reader with a comprehensive overview of this highly specialized radiological subspecialty. One hundred illustrated cases from clinical practice are presented in a standard way. Each case is supported by representative images and is divided into three parts: a brief summary of the patient’s medical history, a discussion of the disease, and a description of the most characteristic imaging features of the disorder. The focus is not only on common neuroradiological entities such as stroke and acute head trauma but also on less frequent disorders that the practitioner should recognize."
Berlin : Springer, 2012
e20426087
eBooks  Universitas Indonesia Library
cover
"Written by internationally renowned experts, this volume is a collection of chapters dealing with imaging diagnosis and interventional therapies in neuroradiology and diseases of the spine. The different topics are disease-oriented and encompass all the relevant imaging modalities including X-ray technology, nuclear medicine, ultrasound and magnetic resonance, as well as image-guided interventional techniques. It represents a unique experience for residents in radiology as well as for experienced radiologists wishing to be updated on the current state of the art."
Milan: Springer, 2012
e20426422
eBooks  Universitas Indonesia Library
cover
"Functional neuroradiology : principles and clinical applications, is a follow-up to Faro and Mohamed’s groundbreaking work, Functional (BOLD) MRI : basic principles and clinical applications. This new 49 chapter textbook is comprehensive and offers a complete introduction to the state-of-the-art functional imaging in Neuroradiology, including the physical principles and clinical applications of diffusion, perfusion, permeability, MR spectroscopy, positron emission tomography, BOLD fMRI and diffusion tensor imaging.
With chapters written by internationally distinguished neuroradiologists, neurologists, psychiatrists, cognitive neuroscientists, and physicists, functional neuroradiology is divided into 9 major sections, including : physical principles of all key functional techniques, lesion characterization using diffusion, perfusion, permeability, MR spectroscopy, and positron emission tomography, an overview of BOLD fMRI physical principles and key concepts, including scanning methodologies, experimental research design, data analysis, and functional connectivity, eloquent cortex and white matter localization using BOLD fMRI and diffusion tensor imaging, clinical applications of BOLD fMRI in neurosurgery, neurology, psychiatry, neuropsychology, and neuropharmacology, multi-modality functional neuroradiology, beyond proton imaging, functional spine and CSF imaging, a full-color neuroanatomical brain atlas of eloquent cortex and key white matter tracts and BOLD fMRI paradigms.
By offering readers a complete overview of functional imaging modalities and techniques currently used in patient diagnosis and management, as well as emerging technology, Functional Neuroradiology is a vital information source for physicians and cognitive neuroscientists involved in daily practice and research."
New York: Springer, 2011
e20426433
eBooks  Universitas Indonesia Library
cover
Preim, Bernhard
"Visual computing for medicine, second edition, offers cutting-edge visualization techniques and their applications in medical diagnosis, education, and treatment. The book includes algorithms, applications, and ideas on achieving reliability of results and clinical evaluation of the techniques covered. Preim and Botha illustrate visualization techniques from research, but also cover the information required to solve practical clinical problems. They base the book on several years of combined teaching and research experience. This new edition includes six new chapters on treatment planning, guidance and training ; an updated appendix on software support for visual computing for medicine ; and a new global structure that better classifies and explains the major lines of work in the field."
Waltham, MA: Morgan Kaufmann, 2014
e20427723
eBooks  Universitas Indonesia Library
cover
Bariqi Abdillah
"Penelitian ini menerapkan dan menganalisa teknik pengolahan citra untuk deteksi kanker paru-paru. Teknik pengolahan citra banyak digunakan di beberapa masalah medis untuk perbaikan citra dalam deteksi fase dan pengobatan dini. Penelitian ini mengusulkan metode deteksi kanker paru-paru berbasis segmentasi citra. Segmentasi citra adalah salah satu pengolahan tingkat menengah dalam pengolahan citra. Pendekatan wilayah dan watershed digunakan untuk proses segmentasi citra CT scan. Fase deteksi yaitu peningkatan kualitas citra menggunakan filter Gabor, segmentasi citra, dan ekstraksi fitur dengan binerisasi. Dari hasil percobaan, ditemukan efektivitas dari pendekatan tersebut. Fitur utama untuk mendeteksi kanker adalah dengan menggunakan perbandingan yang dilakukan dengan persentase piksel dan penanda citra.

In this undergraduate thesis, we implement and analyze the image processing method for detection of lung cancer. Image processing techniques are widely used in several medical problems for repairs picture in the phase detection and early treatment. This research proposed a detection method of lung cancer using image segmentation. Image segmentation is one of intermediate level processing in image processing. Marker control and watershed approach are used to segment of CT scan image. Detection phases are followed by image enhancement using Gabor filter, image segmentation, and features extraction with binarization. From the experimental results, we found the effectiveness of our approach. The main detected features for accurate images comparison are mask labeling with high accuracy and robust.
"
Depok: Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia, 2016
S64589
UI - Skripsi Membership  Universitas Indonesia Library
cover
Pray Somaldo
"ABSTRAK
Diabetik Retinopati adalah kelainan retina akibat komplikasi diabetes yang menyebabkan kebutaan. Seiring berkembangnya teknologi pengolahan citra, pendeteksian Diabetik Retinopati DR dimungkinkan melalui gambar retina yang disebut citra fundus dengan menggunakan ekstraksi ?tur. Dalam penelitian ini, diusulkan metode ekstraksi ?tur menggunakan Gray Level Co-occurrence Matrix GLCM . Penelitian ini mengusulkan sebuah metode dengan enam ?tur tekstur GLCM dengan klasi?kasi Naive Bayes. Dengan menggunakan tiga metode pengujian dan offset GLCM untuk dibandingkan, offset GLCM menghasilkan hasil yang lebih baik dengan accuracy 82.05 pada metode pengujian 70 train 30 test, accuracy 80 pada metode pengujian 5-Fold Cross Validation, accuracy 80.77 pada metode pengujian 10-Fold Cross Validation. Hasil ini akan menjelaskan seberapa akurat Naive Bayes untuk mengklasi?kasikan citra fundus normal atau citra DR.

ABSTRAK
Diabetic Retinopathy is retinal disorders resulting from diabetes complications that lead to blindness. As the development of technology in image processing, detection of Diabetic Retinopathy DR was possible through retinal images called fundus image using feature extraction. In this paper, a feature extraction method using Gray Level Co occurrence Matrix GLCM is proposed. This paper proposed a method with six textural features of GLCM with Naive Bayes classifier. Using three testing methods and offset of GLCM to compare with, the offset of GLCM achieves a better result with an Accuracy of 82.05 for 70 training data and 30 testing data method, Accuracy of 80.00 for 5 fold Cross Validation method, Accuracy of 80.77 for 10 fold Cross Validation method. These results will explain how accurate Naive Bayes to classify normal fundus image or DR fundus image."
2017
S69377
UI - Skripsi Membership  Universitas Indonesia Library
cover
Muhammad Usman Sulaeman Markum
"Latar Belakang: Contrast Induced Acute Kidney Injury (CIAKI) merupakan gangguan ginjal akut sebagai komplikasi pemberian Media Kontras (MK) tanpa ada sebab yang lain. Gangguan ginjal akut (GGA) karena MK merupakan penyebab ketiga GGA tersering yang terjadi di rumah sakit. Skor Mehran 2 merupakan prediktor timbulnya CIAKI pasca Intervensi Koroner Perkutan (IKP) pada pasien Sindrom Koroner Akut (SKA) dan Sindrom Koroner Kronik (SKK) yang merupakan pengembangan dari skor Mehran yang telah dipakai sejak tahun 2004 dan telah mengalami berbagai validasi. Skor Mehran 2 masih belum secara luas dipakai dan belum pernah dilakukan validasi di Indonesia yang mempunyai karakteristik demografi yang berbeda.
Tujuan : Melakukan validasi dan mempelajari performa skor Mehran 2 pada pasien IMA-EST, IMA-NEST, Angina pektoris Tidak Stabil dan Angina pektoris Stabil yang menjalani IKP
Metode: Studi kohort retrospektif terhadap 292 pasien yang menjalani IKP di RSUPN dr Cipto Mangunkusumo Jakarta selama periode Januari 2021 sampai Juli 2024. Uji validasi dilakukan untuk menilai performa skor Mehran 2 pada pasien pasca IKP.
Hasil: Didapatkan hasil 56 pasien (19,17%) mengalami CIAKI dengan 71,43% laki-laki. Median total skor Mehran 2 pada pasien yang mengalami CIAKI adalah 13. Area under curve (AUC) skor Mehran 2 didapatkan 0,658 (95% IK 0,577-0,738 p<0,0001).
Simpulan: Skor Mehran 2 memiliki nilai diskriminasi moderate atau sedang dalam memprediksi CIAKI pada pasien SKA yang menjalani IKP dan mempunyai nilai kalibrasi yang baik

Background: Contrast Induced Acute Kidney Injury (CIAKI) is an acute kidney disorder as a complication of the administration of contrast media without any other cause. Acute Kidney Injury (AKI) due to contrast media is the third most frequent cause of AKI that occurs in hospitals. Mehran score 2 is a predictor of the onset of CIAKI after Percutaneous Coronary Intervention (PCI) in patients with Acute Coronary Syndrome (ACS) and Chronic Coronary Syndrome (CCS) which is a development of previous Mehran score that has been used since 2004 and has undergone various validations. The Mehran score 2 is still not widely used and has never been validated in Indonesia which has different demographic characteristics from other countries.
Objective: To validate and study the performance of Mehran score 2 in patient with ST Elevation Myocardial Infarction (STEMI), Non ST Elevation Myocardial Infarction (NSTEMI), Unstable Angina Pectoris (UAP) and Stable Angina Pectoris who undergo PCI.
Methods: A retrospective cohort study of 292 patients who underwent PCI at Dr. Cipto Mangunkusumo Hospital, Jakarta during the period January 2021 to July 2024. A validation test was carried out to assess the performance of the Mehran 2 score in post PCI patients.
Results: The results were obtained that 56 patients (19.17%) experienced CIAKI with 71.43% subject are male. The median total score of Mehran score 2 in subject who experienced CIAKI was 13. Area under curve (AUC) Mehran score 2 score 0,658 (95% IK 0,577-0,738 p<0,0001).
Conclusions: Mehran score 2 has a moderate discrimination value in predicting CIAKI in patients undergoing PCI and it has good calibration level
"
Jakarta: Fakultas Kedokteran Universitas Indonesia, 2025
T-pdf
UI - Tesis Membership  Universitas Indonesia Library
<<   3 4 5 6 7 8 9   >>