Hybrid Thresholding Method in Detection and Extraction of Brain Hemorrhage on the CT-Scan Image

Brain bleeding can occur because of the outbreak of the blood vessels in the brain which culminated into hemorrhagic stroke or stroke due to bleeding. Hemorrhagic Stroke occurs when there is a burst of blood vessels result from some trigger factor. Segmentation techniques to Scanner computed tomography images (CT scan of the brain) is one of the methods used by the radiologist to detect brain bleeding or congenital abnormalities that occur in the brain. This research will determine the area of the brain bleeding on each image slice CT - scan every patient, to detect and extract brain bleeding, so it can calculate the volume of the brain bleeding. The detection and extraction bleeding area of the brain is based on the hybrid thresholding method.

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Profil Pasien Stroke Hemoragik yang Dirawat di ICU RSUP Prof. Dr. R.D. Kandou Manado Periode Desember 2014 sampai November 2015

e-CliniC ◽

10.35790/ecl.4.1.2016.11015 ◽

2016 ◽

Vol 4 (1) ◽

Author(s):

Maria Estefina Siwi ◽

Diana Lalenoh ◽

Harold Tambajong

Keyword(s):

Mortality Rate ◽

Blood Vessels ◽

Medical Record ◽

Cause Of Death ◽

Cerebral Edema ◽

Hemorrhagic Stroke ◽

Stroke Mortality ◽

Probability Sampling ◽

The Brain ◽

Very High

Abstract: Hermorrhagic stroke is a disease caused by rupture of blood vessels of the brain that causes bleeding intro the brain parenchym tissue, cerebrospinal space around the brain or combination of both. Cause of death from hemorrhagic stroke is presence of complications or other comorbodities, like cerebral edema were reported the highest cause of death of hemorrhagic stroke. This study aimed to determine the profile of patients with hemorrhagic stroke in ICU, using descriptive retropective method. The samples were Prof. Dr. R.D. Kandou Manado ICU’s patients with hemorrhagic stroke based on the data in the medical record from December 2014 – November 2015. Hemorrhagic stroke mortality rate is very high (89%). From total 35 samples were examined, there 4 survivors (11%) and 31 deaths (89%), which consisted of 24 males (69%) and 11 females (31%). Most patients are 45-59 years old.Keywords: hemorrhagic stroke, ICUAbstrak: Stroke hemoragik adalah penyakit yang disebabkan oleh pecahnya pembuluh darah otak yang menyebabkan keluarnya darah ke jaringan parenkim otak, ruang serebrospinalis disekitar otak atau kombinasi keduanya. Penyebab kematian dari stroke hemoragik sendiri adalah adanya komplikasi atau penyakit penyerta lainnya, salah satu contohnya yaitu edema serebri yang dilaporkan merupakan penyebab kematian terbanyak. Penelitian ini bertujuan untuk mengetahui profil pasien stroke hemoragik yang dirawat di ICU RSUP Prof. Dr. R.D. Kandou Manado, menggunakan metode penelitian deskriptif retrospektif. Besar sampel ditentukan dengan metode non probability sampling yaitu purposive sampling. Sampel penelitian adalah pasien ICU RSUP Prof. Dr. R.D. Kandou Manado dengan diagnosa stroke hemoragik berdasarkan data di bagian Rekam Medik periode Desember 2014 sampai November 2015. Angka mortalitas stroke hemoragik sangatlah tinggi (89%). Total 35 sampel yang diteliti dengan 4 orang yang selamat (11%) dan 31 orang meninggal dunia (89%), terdiri dari 24 orang laki-laki (69%) dan 11 orang perempuan (31%). Sebagian besar adalah pasien umur 45-59 tahun.Kata kunci: stroke hemoragik, ruang rawat intensif

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Analisis Kinerja Algoritma Mesin Pembelajaran untuk Klarifikasi Penyakit Stroke Menggunakan Citra CT Scan

Jurnal Teknologi Informasi dan Ilmu Komputer ◽

10.25126/jtiik.2020743482 ◽

2020 ◽

Vol 7 (4) ◽

pp. 833

Author(s):

Nur Sakinah ◽

Tessy Badriyah ◽

Iwan Syarif

Keyword(s):

Deep Learning ◽

Ct Scan ◽

Hemorrhagic Stroke ◽

Image Data ◽

Machine Learning Algorithms ◽

Support Vector ◽

Gray Level ◽

Stroke Patients ◽

Occurrence Matrix ◽

The Brain

Stroke adalah suatu kondisi dimana pasokan darah ke otak terganggu sehingga bagian tubuh yang dikendalikan oleh area otak yang rusak tidak dapat berfungsi dengan baik. Penyebab stroke antara lain adalah terjadinya penyumbatan pada pembuluh darah (stroke iskemik) atau pecahnya pembuluh darah (stroke hemoragik). Pasien yang terkena stroke harus segera ditangani secepatnya karena sel otak dapat mati dalam hitungan menit. Tindakan penanganan stroke secara cepat dan tepat dapat mengurangi resiko kerusakan otak dan mencegah terjadinya komplikasi. Penelitian ini bertujuan untuk mengembangkan perangkat lunak yang dapat membaca dan menganalisis citra CT scan dari otak, dan kemudian secara otomatis memprediksi apakah citra CT scan tersebut stroke iskemik atau stroke hemoragik. Data citra CT scan berasal dari Rumah Sakit Umum Haji Surabaya yang diambil selama periode Januari-Mei 2019 dan berasal dari 102 pasien yang terindikasi stroke. Sebelum data gambar tersebut diolah dengan menggunakan beberapa algoritma mesin pembelajaran, data tersebut melalui tahap pre-processing yang bertujuan untuk meningkatkan kualitas citra meliputi konversi citra, pemotongan citra, penskalaan, greyscaling, penghilangan noise dan augmentasi. Tahap selanjutnya adalah ekstraksi fitur menggunakan metode Gray-Level Co-Occurrence Matrix (GLCM). Penelitian ini juga bertujuan untuk membandingkan kinerja lima algoritma mesin pembelajaran yaitu Naïve Bayes, Logistic Regression, Neural Network, Support Vector Machine dan Deep Learning yang diterapkan untuk memprediksi penyakit stroke. Hasil percobaan menunjukkan bahwa algoritma Deep Learning menghasilkan tingkat performansi paling tinggi yaitu nilai akurasi 96.78%, presisi 97.59% dan recall 95.92%. AbstractStroke is a condition in which the blood supply to the brain is interrupted so that parts of the body that are controlled by damaged brain areas cannot function properly. Causes of strokes include blockages in blood vessels (ischemic stroke) or rupture of blood vessels (hemorrhagic stroke). Stroke patients must be treated as soon as possible because brain cells can die within minutes. The handling of stroke patients quickly can reduce the risk of brain damage and prevent complications. This study aims to develop software that can read and analyze CT scan images from the brain, and then automatically predict whether the CT scan images are ischemic stroke or hemorrhagic stroke. The CT scan image data came from the Surabaya Hajj General Hospital which was taken during the January-May 2019 period and came from 102 patients who had indicated a stroke. Before the image data is processed using several machine learning algorithms, the data goes through a pre-processing phase which aims to improve image quality including image conversion, image cutting, scaling, greyscaling, noise removal and augmentation. The next step is feature extraction using the Gray-Level Co-Occurrence Matrix (GLCM) method. This study also aims to compare the performance of five machine learning algorithms, namely Naïve Bayes, Logistic Regression, Neural Networks, Support Vector Machines and Deep Learning which are applied to predict stroke. The experimental results show that the deep learning algorithm produces the highest level of performance where the accuracy value is 96.78%, 97.59% precision and 95.92% recall.

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Comparison of Clinical Diagnosis of Stroke with Computed Tomographic Scan of the Brain

Bangladesh Journal of Neuroscience ◽

10.3329/bjn.v28i2.17179 ◽

2013 ◽

Vol 28 (2) ◽

pp. 96-101

Author(s):

Sirajee Shafiqul Islam ◽

Aminur Rahman ◽

Md Manzur Alahi ◽

Md Ahmed Ali ◽

Md Kafiluddin ◽

...

Keyword(s):

Computed Tomography ◽

Ischemic Stroke ◽

Positive Predictive Value ◽

Intracerebral Hemorrhage ◽

Ct Scan ◽

Clinical Diagnosis ◽

Predictive Value ◽

Hemorrhagic Stroke ◽

Sensitivity Specificity ◽

The Brain

Background and purpose: Stroke is a leading cause of mortality and morbidity in both developed as well as developing countries. The clinical presentation of stroke depending on the site and extent of lesions. For the management purpose it is important to know whether we are dealing with a bleed or an infarct. Methodology: Computed Tomography (CT scan) is available most of the tertiary level hospitals in Bangladesh. This study was carried out to compare clinical diagnosis of stroke with Computed tomography (CT) scan findings in ascertaining the type of stroke (hemorrhagic or ischemic). Materials and methods: This cross-sectional comparative study was conducted in the Department of Neurology, Rajshahi Medical College Hospital during the period of January 2010 to December 2010. Total 200 stroke patients were selected by purposive sampling technique on the basis of inclusion and exclusion criteria as the study sample. . CT brain scan was done for all the patients. The clinical diagnosis was compared with the results of CT scan and performance test was done. Results: Clinically 67 patients were diagnosed as hemorrhagic stroke and 133 patients were diagnosed as ischemic stroke. Out of these 67 hemorrhagic patients CT scan revealed that 56 patients had intracerebral hemorrhage, 5 had infarct, 4 had subarachnoid hemorrhage and 2 had space occupying lesions in the brain. Out of these 133 ischemic patients CT scan revealed that 119 patients had infarction, 6 had intracerebral hemorrhage and 8 had space occupying lesions in the brain. The sensitivity, specificity, positive predictive value, negative predictive value and accuracy of clinical diagnosis of hemorrhagic stroke were 90.32%, 92.03%, 83.58%, 92.02% and 91.5% respectively. The sensitivity, specificity, positive predictive value, negative predictive value and accuracy of clinical diagnosis of ischemic stroke were 95.96%, 81.58%, 89.47%, 92.53% and 90.5% respectively. Conclusion: The diagnosis of stroke in clinically with high accuracy, but perform a CT scan will help to confirm and differentiate to type stroke. Thus CT scan should be done in all cases stroke to specify the diagnosis. DOI: http://dx.doi.org/10.3329/bjn.v28i2.17179 Bangladesh Journal of Neuroscience 2012; Vol. 28 (2): 96-101

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Morphological Features Of Microvascular Tissue Of The Brain At Hemorrhagic Stroke

The American Journal of Medical Sciences and Pharmaceutical Research ◽

10.37547/tajmspr/volume02issue10-08 ◽

2020 ◽

Vol 02 (10) ◽

pp. 53-59

Author(s):

Kamalovamalika Ilkhomovna ◽

◽

Islamov Shavkat Eriyigitovich ◽

Khaidarov Nodir Kadyrovich ◽

◽

...

Keyword(s):

Ischemic Stroke ◽

Blood Vessels ◽

Brain Tissue ◽

Cerebral Edema ◽

Hemorrhagic Stroke ◽

Adverse Outcome ◽

Morphological Features ◽

Neuroimmune System ◽

Younger Age ◽

The Brain

Hemorrhagic stroke is less common than ischemic stroke and is heavier and in most cases has an adverse outcome in the form of death of a patient or permanent disability.Recently, there has been a tendency to increase the frequency of GI, which is increasingly found at a younger age. GI is based on a rupture of blood vessels, the development of hemorrhage and as a consequence - the formation of cerebral edema, ischemia of brain tissue, violation of the integrity of GBS, imbalance of the neuroimmune system, as well as violation of the function of other systems and organs.

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Hubungan Tekanan Darah dengan Volume Pendarahan Intraserebral pada Pasien Stroke Hemoragik di Ruang Rawat Inap Saraf Rumkital Dr Ramelan Surabaya

Hang Tuah Medical journal ◽

10.30649/htmj.v16i2.176 ◽

2019 ◽

Vol 16 (2) ◽

pp. 135

Author(s):

KENNY YULIAN ◽

OLIVIA MAHARDANI ADAM ◽

LESTARI DEWI

Keyword(s):

Blood Pressure ◽

Ct Scan ◽

Intracerebral Haemorrhage ◽

Hemorrhagic Stroke ◽

Haemorrhagic Stroke ◽

Cross Sectional Study ◽

Sectional Study ◽

Stroke Patients ◽

Cross Sectional ◽

The Brain

ABSTRACTBackground. Hemorrhagic stroke is a spontaneous bleeding in the brain that is usually life threatening. The most common risk factor of hemorrhagic stroke is hypertension. Hypertension can cause change in the structure of the artery wall which can cause the blood vessels near the brain to rupture easily. Purpose. To analyze the correlation between blood pressure and intracerebral haemorrhage volume in hemorrhagic stroke patients in Dr. Ramelan Navy Hospital neurologic ward. Method. This research is using a cross sectional study design. This study is done using primary data collection, using the head CT Scan result to measure the patient’s intracerebral hemorrhage volume and patient’s ER admission data for the blood pressure. Results. The study is performed to 26 haemorrhagic stroke patients who fits the inclusion and exclusion criteria. Correlation test shows no correlation between blood pressure and intracerebral haemorrhage volume in haemorrhagic stroke patients in Dr. Ramelan Navy Hospital neurologic ward, with significance (p) value of 0.888 > α (0.05). Conclusion. There is no correlation between blood pressure and intracerebral haemorrhage volume in haemorrhagic stroke patients in Dr. Ramelan Navy Hospital neurologic ward.Keywords: Blood Pressure, Intracerebral Haemorrhage Volume, Haemorrhagic Stroke ABSTRAKLatar belakang. Stroke hemoragik adalah pendarahan otak spontan yang seringkali mengancam jiwa. Faktor resiko utama terjadinya stroke hemoragik adalah adanya hipertensi. Hipertensi dapat menyebabkan perubahan struktur dinding arteri sehingga pembuluh darah didekat otak mudah ruptur. Tujuan penelitian. Mengetahui hubungan antara tekanan darah dengan volume pendarahan intraserebral pada pasien stroke hemoragik di ruang rawat inap saraf RUMKITAL Dr. Ramelan Surabaya. Metode penelitian. Penelitian ini adalah penelitian dengan desain cross sectional study. Penelitian ini dilakukan dengan perolehan data primer, yaitu berupa hasil CT scan kepala untuk mengetahui volume pendarahan intraserebral pasien dan data pasien saat masuk IGD untuk tekanan darah pasien. Hasil. Penelitian dilakukan pada 26 pasien stroke hemoragik yang masuk kriteria inklusi dan eksklusi. Hasil uji korelasi menunjukkan tidak ada hubungan antara tekanan darah dengan volume pendarahan intraserebral pada pasien stroke hemoragik di ruang rawat inap saraf RUMKITAL Dr. Ramelan Surabaya, dengan nilai signifikansi (p) = 0.888 > α (0.05). Kesimpulan. Tidak ada hubungan antara tekanan darah dengan volume pendarahan intraserebral pada pasien stroke hemoragik di ruang rawat inap saraf RUMKITAL Dr. Ramelan Surabaya.Kata Kunci : Tekanan Darah, Volume Pendarahan Intraserebral, Stroke Hemoragik

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Hasil pemeriksaan CT scan pada penderita stroke non hemoragik di Bagian Radiologi FK Unsrat/SMF Radiologi RSUP Prof. Dr. R. D. Kandou Manado periode Agustus 2015 – Agustus 2016

e-CliniC ◽

10.35790/ecl.4.2.2016.14398 ◽

2016 ◽

Vol 4 (2) ◽

Author(s):

Christian Elim ◽

Vonny Tubagus ◽

Ramli Hadji Ali

Keyword(s):

Ct Scan ◽

Hemorrhagic Stroke ◽

Right Hemisphere ◽

Secondary Data ◽

Haemorrhagic Stroke ◽

Descriptive Study ◽

Body Parts ◽

Stroke Patients ◽

The Right ◽

The Brain

Abstract: CT-scan is used to analyze the structures of specific body parts, mainly to confirm the diagnosis of non-hemorrhagic stroke. Stroke is a neurological deficit that occurs suddenly and caused by the interruption of blood flow to the brain. The symptoms are corresponding to the location of the stroke. This study was aimed to obtain the CT-scan examination of non-haemorrhagic stroke patients. This was a retrospective descriptive study using secondary data such as request letter and data of head CT-scan performed from August 2015 to August 2016. The results showed that there were 89 cases of non-hemorrhagic stroke. The majority were males (60 patients; 67%), elderly ≥65 years old (27 patients; 30%), and location of lesion in the right hemisphere (38 patients; 43%). Conclusion: In this study most patients diagnosed as non-hemorrhagic stroke with CT-scan were males, over 65 years old, and location of lesion in right hemisphere.Keywords: non-haemorrhagic stroke, CT-scan Abstrak: CT scan digunakan untuk menganalisis struktur dalam dari beberapa bagian tubuh tertentu, antara lain untuk memastikan diagnosis dari stroke non hemoragik, Stroke merupakan suatu defisit neurologik yang terjadi secara tiba-tiba diakibatkan oleh adanya gangguan aliran darah ke otak dan gejala yang terjadi sesuai dengan lokasi dari stroke tersebut. Penelitian ini bertujuan untuk mengetahui hasil pemeriksaan CT scan pada penderita stroke non hemoragik. Jenis penelitian ialah deskriptif retrospektif dengan memanfaatkan data sekunder berupa lembar permintaan dan data hasil CT scan kepala yang dilaksanakan sejak Agustus 2015 sampai Agustus 2016. Hasil penelitian mendapatkan sebanyak 89 kasus didiagnosis stroke non-hemoragik dengan CT-scan, terbanyak ialah jenis kelamin laki-laki berjumlah 60 orang (67%); golongan usia manula (≥65 tahun) berjumlah 27 orang (30%); dan lokasi lesi di hemisfer dekstra berjumlah 38 orang (43%). Simpulan: Pada studi ini, majoritas pasien yang didiagnosis stroke non-hemoragik dengan CT-scan Berjenis kelamin laki-laki, usia ≥65 tahun, dengan lokais lesi pada hemisfer kanan. Kata kunci: stroke non hemoragik, CT-scan

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GAMBARAN HASIL PEMERIKSAAN CT SCAN KEPALA PADA PENDERITA STROKE HEMORAGIK DI BAGIAN RADIOLOGI FK. UNSRAT/SMF RADIOLOGI BLU RSUP PROF. DR. R. D. KANDOU MANADO

e-CliniC ◽

10.35790/ecl.3.1.2015.6746 ◽

2015 ◽

Vol 3 (1) ◽

Author(s):

Novita T. A. Parinding ◽

Ramli Haji Ali ◽

Vonny N. Tubagus

Keyword(s):

Ct Scan ◽

Hemorrhagic Stroke ◽

Recurrent Stroke ◽

Secondary Data ◽

Chronic Hypertension ◽

Inclusion Criteria ◽

Cerebral Blood Vessels ◽

Stroke Patients ◽

Head Ct ◽

The Brain

Abstract: Hemorrhagic stroke is a spontaneous blood vessel bursts inside the brain. The main cause is chronic hypertension and the presence of degeneration of cerebral blood vessels. Bleeding can occur in the brain and the subarachnoid space due to rupture of an artery or rupture of the aneurysm. At a stroke, a CT scan is the gold standard examination to distinguish infarction with bleeding, because CT scan can give a very clear picture of the head of the intracranial space persisted as cerebral infarction, intracranial hemorrhage, and hemorrhagic stroke. So it can be helpful to diagnose the disease and neurological disorders. The purpose of this study is to cognize the distribution of hemorrhagic stroke patients who performed a head CT scan at The Department of Radiology of FK UNSRAT / SMF Radiology of BLU Prof. Dr. R. D. Kandou Manado. This is a retrospective descriptive study by using secondary data coming from hemorragic stroke patients medical records in the Department of Radiology of BLU Prof. Dr. R. D. Kandou Manado on the period time from May to October 2014. Patients admitted inclusion criteria age between 30-80 years old, proven hemorrhagic stroke based on history, physical examination and investigations of doctors. The results showed that the total number of head CT Scans are 296 patients and more showed abnormal picture (58.1%) compared with the normal picture (41.9%), there are 64 patients with abnormal CT Scan picture results of hemorrhagic stroke (37.2% ), patients with hemorrhagic stroke are more common in males (65.6%), most in the age group of the early elderly betweeb 46-55 years old (40.6%) with most bleeding type of intracerebral hemorrhage (87.5%). Conclusion: Patient that comes with hemorrhagic stroke case or recurrent stroke should undertake a CT Scan of head to assist diagnose and later on can identify the type of bleeding caused by the stroke.Keywords: head CT scan, haemorrhagic strokeAbstrak: Stroke hemoragik adalah perdarahan spontan di dalam otak. Penyebab utamanya adalah hipertensi kronik dan adanya degenerasi pembuluh darah cerebral. Perdarahan dapat terjadi di dalam otak dan ruang subaraknoid karena ruptur dari arteri atau ruptur dari aneurisma. Pada penyakit stroke, CT Scan merupakan pemeriksaan baku emas untuk membedakan infark dengan perdarahan, karena CT Scan dapat memberikan gambaran kepala yang sangat jelas tentang proses desak ruang intrakranial seperti infark otak, perdarahan intrakranial, dan stroke hemoragik. Sehingga dapat membantu penegakan diagnosis penyakit dan kelainan neurologik. Tujuan penelitian ini untuk mengetahui distribusi penderita stroke hemoragik yang dilakukan pemeriksaan CT Scan kepala di Bagian Radiologi FK UNSRAT/SMF Radiologi BLU RSUP Prof. Dr. R. D. Kandou Manado. Penelitian ini merupakan penelitian deskriptif retrospektif dengan memanfaatkan data sekunder berupa rekam medik pasien stroke hemoragik di Bagian Radiologi BLU RSUP Prof. Dr. R. D. Kandou Manado periode Mei-Oktober 2014. Pasien yang masuk kriteria inklusi yaitu usia 30-80 tahun, terbukti stroke hemoragik berdasarkan anamnesis, pemeriksaan fisik dan penunjang oleh dokter. Hasil pemeriksaan CT Scan kepala berjumlah 296 pasien dan lebih banyak menunjukkan gambaran abnormal (58,1%) dibandingkan gambaran normal (41,9%), pada gambaran abnormal terdapat 64 penderita dengan hasil CT Scan gambaran stroke hemoragik (37,2%), penderita stroke hemoragik lebih banyak terjadi pada laki-laki (65,6%), paling banyak pada kelompok umur lansia awal 46-55 tahun (40,6%) dengan tipe perdarahan paling banyak yaitu perdarahan intraserebral (87,5%). Simpulan : Penderita yang datang dengan keluhan stroke hemoragik atau stroke berulang sebaiknya melakukan pemeriksaan CT Scan kepala untuk membantu diagnosis dan dapat diketahui tipe perdarahan dari stroke tersebut.Kata kunci : CT scan kepala, stroke hemoragik

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GAMBARAN HASIL CT SCAN KEPALA PADA PENDERITA DENGAN KLINIS STROKE NON-HEMORAGIK DI BAGIAN RADIOLOGI FK. UNSRAT / SMF RADIOLOGI BLU RSUP PROF. DR. R. D KANDOU MANADO PERIODE JANUARI 2011- DESEMBER 2011

e-CliniC ◽

10.35790/ecl.2.3.2014.6011 ◽

2014 ◽

Vol 2 (3) ◽

Author(s):

Mohammad Arswendo Tjikoe ◽

Elvie Loho ◽

Ramli H. Ali

Keyword(s):

Blood Flow ◽

Ischemic Stroke ◽

Ct Scan ◽

Hemorrhagic Stroke ◽

Age Group ◽

Stroke Patients ◽

Request Form ◽

Neurologic Diseases ◽

Short Time ◽

The Brain

Abstract: Stroke is the most common of neurologic manifestations and easily recognizable from the other neurologic diseases due to the early onset of sudden in a short time. Stroke as clinical diagnosis was divided to hemorrhagic stroke and ischemic stroke. In hemorrhagic stroke there is a rupture in blood vessel so the blood flow became abnormal and bleeds into surrounding brain and damage it. In ischemic stroke the blood flow heading to the brain is interrupted due to atherosclerosis process. The purpose of this study is to know about description of head CT scan in patient with clinical diagnonis of stroke non hemorrhagic in Department/SMF Radiology Faculty Of Medicine UNSRAT BLU RSUP Prof. Dr. R. D. Kandou Manado period on 1st January 2011 – 31st December 2011. Methods: The study design was a retrospective descriptive study. The data are from request form sheet and radiographic response in the Department of Radiology and processed in descriptive. Results: Base on 163 data of stroke patients obtained, 74 patients diagnosed with infarction stroke (45,4%). Male had more (59,5%) than female (40,5%). For age group, 60-79 is the largest with 33 patients (44,6%). Area with most lesion was in parietal dextra lobe with 8 cases (10,8%). Most cases was happened in August with 10 cases (13,5%). Conclusion: Patients with radiology diagnosis infarction stroke, the most common infarction location is in parietal dextra area. Keywords: CT Scan, Infarction Stroke, Parietal Dextra. Abstrak: Stroke merupakan salah satu manifestasi neurologik yang umum, dan mudah dikenal dari penyakit-penyakit neurologik lain karena mula timbulnya mendadak dalam waktu yang singkat. Stroke sebagai diagnosis klinis terbagi menjadi stroke hemoragik (pendarahan) dan stroke non-hemoragik (iskemik). Pada stroke hemoragik pembuluh darah pecah sehingga aliran darah menjadi tidak normal dan darah yang keluar merembes masuk ke dalam suatu daerah di otak dan merusaknya. Sedangkan pada stroke non-hemoragik aliran darah ke otak terhenti karena aterosklerosis atau bekuan darah yang telah menyumbat suatu pembuluh darah, melalui proses aterosklerosis. Tujuan penelitian ini adalah untuk mengetahui gambaran hasil CT scan kepala pada penderita dengan klinis stroke non-hemoragik di Bagian Radiologi FK. Unsrat / SMF Radiologi BLU RSUP Prof. dr. R. D Kandou Manado periode Januari 2011- Desember 2011. Metode: Penelitian ini merupakan penelitian deskriptif retrospektif dengan memanfaatkan data sekunder berupa lembaran permintaan & jawaban CT scan kepala yang terdapat di bagian Radiologi BLU RSUP Prof. Dr. R. D. Kandou Manado periode 1 Januari 2011 – 31 Desember 2011. Hasil penelitian: Berdasarkan 163 data pasien yang didapatkan, 74 pasien didiagnosis dengan stroke infark (45,4%). Laki-laki lebih banyak (59,5%) dari perempuan (40,5%). Kelompok umur 60-79 merupakan kelompok umur terbanyak yaitu 33 pasien (44,6%). Daerah lesi terbanyak adalah pada daerah parietalis dextra dengan 8 kasus (10,8%). Kasus terbanyak terjadi pada bulan agustus dengan 10 kasus (13,5%). Simpulan: Pada pasien dengan diagnosis radiologi stroke infark, lokasi infark yang paling banyak muncul adalah terdapat pada daerah parietal dextra. Kata kunci: CT Scan, Stroke Infark, Parietal Dextra.

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A Review of Various Machine Learning Techniques for Brain Tumor Detection from MRI Images

Current Medical Imaging Formerly Current Medical Imaging Reviews ◽

10.2174/1573405615666190903144419 ◽

2020 ◽

Vol 16 (8) ◽

pp. 937-945

Author(s):

Aaishwarya Sanjay Bajaj ◽

Usha Chouhan

Keyword(s):

Machine Learning ◽

Brain Tumor ◽

Ct Scan ◽

Imaging Techniques ◽

Critical Evaluation ◽

Tumor Detection ◽

Machine Learning Techniques ◽

X Rays ◽

Detection Techniques ◽

The Brain

Background: This paper endeavors to identify an expedient approach for the detection of the brain tumor in MRI images. The detection of tumor is based on i) review of the machine learning approach for the identification of brain tumor and ii) review of a suitable approach for brain tumor detection. Discussion: This review focuses on different imaging techniques such as X-rays, PET, CT- Scan, and MRI. This survey identifies a different approach with better accuracy for tumor detection. This further includes the image processing method. In most applications, machine learning shows better performance than manual segmentation of the brain tumors from MRI images as it is a difficult and time-consuming task. For fast and better computational results, radiology used a different approach with MRI, CT-scan, X-ray, and PET. Furthermore, summarizing the literature, this paper also provides a critical evaluation of the surveyed literature which reveals new facets of research. Conclusion: The problem faced by the researchers during brain tumor detection techniques and machine learning applications for clinical settings have also been discussed.

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Functional Evaluation of an Ectopic Supernumerary Kidney in Pelvis

Current Medical Imaging Formerly Current Medical Imaging Reviews ◽

10.2174/1573405615666190130165010 ◽

2019 ◽

Vol 15 (10) ◽

pp. 1001-1005

Author(s):

Aylin Akbulut ◽

Suleyman Kalayci ◽

Gokhan Koca ◽

Meliha Korkmaz

Keyword(s):

Renal Function ◽

Ct Scan ◽

Blood Vessels ◽

Rare Case ◽

Fibrous Tissue ◽

Accurate Diagnosis ◽

Functional Evaluation ◽

Normal Kidney ◽

Ectopic Kidney ◽

Ct Data

Background: Supernumerary kidney is an accessory organ with its own encapsulated parenchyma, blood vessels and ureters, either separated from the normal kidney or connected to it via fibrous tissue and ectopic kidney is a migration abnormality of the kidney. Here, we have evaluated a rare case of the supernumerary and ectopic kidney with DMSA, MAG3 and also CT fusion of the images. Methods: The absolute divided renal function was calculated for each kidney by DMSA. The MAG3 scintigraphy showed no obstruction in the ureteropelvic junction. Furthermore, the renogram curve and Tmax and time to ½ values were assessed. Two months after the conventional scintigraphies, the patient was referred to a CT scan and the fusion of DMSA SPECT and CT data was generated on a workstation. Results: The ectopic supernumerary kidney was functioning very well except a small hypoactive area, visible on DMSA, which was possibly a minimal pelvicalyceal dilatation. However, consequent CT scan did not show any pathology. Conclusion: It is important to evaluate particularly complicated or rare cases with multimodality systems with 3D or fusion techniques for the accurate diagnosis.

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