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Atlas of Hybrid and Molecular Imaging: Anatomical Landmarks for Pet/Ct, Pet/MRI and Spect/CT Radiopharmaceuticals - Clinical Cas

為了解決mri醫學的問題，作者Leporace, Mario,Calabria, Ferdinando,Gaudio, Eugenio 這樣論述：

For the first time, in this atlas nuclear physicians and radiologists cover the entire hybrid nuclear medicine (PET/CT, SPECT/CT and PET/MRI), based on their own case studies. The structure in three volumes represents an user friendly guide for interpreting PET and SPECT in relation to co-registe

red CT and/or MRI. Three companion volumes with a practical structure in two-page unit offer to the reader a navigational tool, based on anatomical districts, with labeled and explained low-dose multiplanar CT or MRI views merged with PET fusion imaging on the right hand and contrast enhanced CT or

MRI on the other side. This new format enables rapid identification of hybrid nuclear medicine findings which are now routine at leading medical centers. Volume 1 is focused on brain and neck PET imaging, with emphasis on PET/MRI; Volume 2 concerns thorax, abdomen and pelvis, with particular attenti

on on lung and liver segmental anatomy and evaluation of peritoneum. Special chapters on heart, lymph nodes and musculoskeletal system, are collected in the Volume 3. Each chapter begins with three-dimensional CT and/or MRI views of the evaluated anatomical region, bringing forward sectional tables.

Clinical cases, tricks and pitfalls linked to several PET or SPECT radiopharmaceuticals help to introduce the reader to peculiar molecular pathways and to improve confidence in cross-sectional imaging, that is vital for the accurate diagnosis and treatment of diseases.

mri醫學進入發燒排行的影片

級聯 YOLO 與巢狀 U 型卷積神經網路之超參數優化於腦脊髓液磁振影像切割

為了解決mri醫學的問題，作者丁俞文 這樣論述：

在自發性顱內低壓臨床醫學中，已有文獻證實透過定性或定量的方式評估此疾病，且此疾病具有即時診斷之重要性及必要性，而使用非侵入式診斷磁振造影(MRI)作為初步診斷之工具，若醫師使用定性的方式觀察影像，則需要耗費相當多時間且可能造成醫療人員疲勞造成判斷錯誤，結果易受主觀感受影響。過去已有文獻指出病患恢復情形與腦脊髓液容積相關，可透過量化方式計算腦脊髓液容積，提供更客觀的診斷方式，因此如何準確地分割腦脊髓液為重要議題。因此本研究使用深度學習的巢狀U型卷積神經網路分割出腦脊髓液分佈區域，並使用YOLO圈選出關注區域範圍。最後將預測之影像進行二值化後輸出，進行後續量化研究及績效衡量。脊髓區域之腦脊髓液磁

振造影資料來源由台中榮民總醫院提供，共25為樣本(25603張影像)。脊髓區域之影像使用U-Net結合網格搜索及YOLOv4取得IoU為0.9399、DSC為0.9690；巢狀U型卷積神經網路結合網格搜索及YOLOv4 IoU為0.9398、DSC為0.9690，其中U-Net網格搜索的最佳參數組合為學習率(Learning rate)：0.00001、Batch size：7、Epoch：200；巢狀U型卷積神經網路結合網格搜索的最佳參數組合為學習率(Learning rate)：0.00001、Batch size：7、Epoch：200。最後量化腦脊髓液容積與黃金標準之誤差為0.33%~

16.28%與0.51%~15.71%。

Diagnosis and Treatment of Mitral Valve Disease: A Multidisciplinary Approach

為了解決mri醫學的問題，作者 這樣論述：

The only reference wholly dedicated to this complex topic, Diagnosis and Treatment of Mitral Valve Disease: A Multidisciplinary Approach provides authoritative, must-have information on the disease processes affecting the mitral valve, interpretation of diagnostic studies, and medical, transcathe

ter, and surgical treatments needed for mitral valve repair. Using a multidisciplinary approach, Drs. Scott Goldman and William Gray oversee a who’s who＂ team of contributing authors who offer a holistic view of the modern treatment of mitral valve disease for today’s cardiac surgeons, cardiologists

, and other cardiac team members.Includes foundational chapters on anatomy and pathophysiology of the mitral valve-critically important topics when treating multiple complex and highly dynamic structures that function as a single unit. Covers diagnostic tools, medical treatments, surgical therapies,

and transcatheter therapies, and provides tips for developing a successful mitral valve program (with baseline thresholds, common pitfalls, and a checklist for hospitals). Uses an accessible, quick-reference format that features takeaway chapter openers, bulleted key points, end-of-chapter summarie

s, a common nomenclature and glossary of terms, key references, and ample line drawings, photographs, tables, charts, and graphs throughout. Incorporates the essential role of imaging in structural transcatheter interventions, including echocardiography and transcatheter edge-to-edge repair (TEER),

and their uses in diagnostic work-up, procedural planning, intra-procedural guidance, and follow-up. Features dozens of procedural videos, including transthoracic echocardiogram; cardiac MRI for mitral regurgitation; transcatheter mitral valve repair; transcatheter valvuloplasty; percutaneous mitral

valve interventions; MitraClipT positioning; and many more. Enhanced eBook version included with purchase. Your enhanced eBook allows you to access all of the text, figures, and references from the book on a variety of devices.

T1加權MRI脊髓影像之脊骨切割

為了解決mri醫學的問題，作者陳寬翰 這樣論述：

The spine is the foundation of health, and it is also the source of all diseases. If this important tool that bears the weight of the human body has diseases, various diseases of the body will come one after another, and if it is serious, it will affect the normal operation of the main nervous syst

em, causing the pain of tissues such as muscles, ligaments, bonesand blood vessels.Magnetic resonance imaging (MRI) is an imaging technique that uses signals generated by changes in the external magnetic field of hydrogen atoms in water molecules in the human body and then calculates the images obta

ined by computer. MRI technology is widely used in the diagnosis of motion-related injuries. It provides clear images of bones and soft tissues near and around bones and bones, including ligaments and muscles, and is therefore extremely meticulous in terms of spine and joint problems. This study pro

poses a cutting algorithm for MRI vertebral images and develops an automated system that roughly cuts out the correct spinal region, which can assist doctors in their diagnosis and treatment. This method adjusted the image size first, and the contrast is adjusted and the noise is removed. Then the O

tsu algorithm is used to find the most suitable threshold and then make binarization, then the cutting is performed by Opening-Operation and Closing-Operation so that the image of the spine becomes smoother and more completed. Then, the Eight Connected-Component are used to determine whether the sha

pe is the spine, and then use distinctive feature such as major axis length, perimeter, area to filter the correct spine section, and finally fill the gap, and then the image cutting of the entire spine is completed. After completing the image cutting of the spine, use four index such as similarity,

sensitivity, specificity, accuracy as standard evaluation to evaluate the quality of cutting sample. The experimental results show that the system can cut out the correct spine region, and its cutting quality is nearly 80%, its similarity, sensitivity, specificity and accuracy are up to 99%, and th

e performance is excellent.