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"The rapid advances in CCT technology, the advent of new clinical applications, and the acquisition of data on prognostic value are just some of the reasons for the publication of this new edition of Clinical Applications of Cardiac CT, little more than 3 years after the first edition appeared. The text has been extensively revised and updated to reflect current knowledge and practice, and the structure and layout of the educational content have also been improved. The imaging targets, semeiology, technique, and clinical applications of CCT are all covered in detail, and in addition relevant information is provided on epidemiology, clinical assessment, and the role of other diagnostic modalities. This book will prove an invaluable tool for radiologists and cardiologists alike."

"With a special emphasis on the complementary nature of anatomic and functional cardiac data, this book ensures physicians develop the skills they need to interpret cardiac CT images. New chapters address evaluation of the thoracic aorta, congenital heart disease in the adult, triple rule-out CT angiography, and the latest innovations in cardiac CT. "

"Clinical cardiac MRI is a comprehensive textbook intended for everyone involved in magnetic resonance imaging of the heart. It is designed both as a useful guide for newcomers to the field and as an aid for those who routinely perform such studies. Providing theoretical background information, this illustrated volume examines imaging acquisition and potential pitfalls. It presents guidelines on the interpretation of clinical data in a range of cardiac pathology that can be encountered. In this second edition, the aim has been to maintain the same quality while incorporating the newest insights and developments in this rapidly evolving domain of medical imaging. Finally, the selection of 100 real-life cases, added as online material, will further enhance the value of this textbook."

"Cardiac CT scanners are rapidly improving, each major vendor has introduced a state of the art scanner every 2–3 years. The basic applications, terminology and acquisition has not changed dramatically, however, improvements in hardware and software continue to reduce radiation exposure, scan times, artifacts and improve image quality. This chapter outlines the basic CT terminology, functions and background behind the current state of CT scan- ners for cardiac applications. It reviews spatial, temporal and contrast resolution limits of the CT scanners. An overview of common terms, radiation exposure and protocols are included. This acts as an introductory chapter to be expanded by subsequent chapters that will each go into more details on specific topics. Comparison to magnetic resonance for image quality and functionality, and dose comparisons to mammography, nuclear and fluoroscopy are included."

"Kuantifikasi standar lemak jantung menggunakan citra nonkontras dapat menjadi suatu nilai prognostik tambahan dalam mengevaluasi penyakit jantung koroner. Metode otomatis berbasis deep learning memiliki kelebihan dari metode manual yaitu mengurangi waktu kuantifikasi, beban kerja dan user dependence. Pada penelitian ini, lemak jantung epikardial dan mediastinal dari dataset open source dan dari Rumah Sakit Mayapada Tangerang disegmentasi menggunakan segmentasi semantik berbasis CNN DeepV3+ Resnet18 dan dievaluasi. Volume dari lemak jantung diestimasikan menggunakan fitur regionprops Matlab 2021a. Sistem dapat segmentasi lemak jantung pada keakurasian tertinggi sebesar 98,8 % dan dice score sebesar 0,76 untuk lemak epikardial dan keakurasian 96,8% dan dice score sebesar 0,69 untuk lemak mediastinal dataset open source. Namun, pada data uji yaitu data CT jantung yang diambil dari rumah sakit menghasilan keakurasian tertinggi pada 28% untuk lemak epikardial. Secara kualitatif, struktur seperti lemak abdomen, otot jantung dan tulang belakang masih ikut tersegmen. Setelah melakukan penyesuaian citra antara data uji dengan data pelatihan, akurasi tertinggi pada lemak epikardial sebesar 97%. Namun, lemak epikardial dan mediastinal belum berhasil untuk dipisahkan. Volume lemak jantung untuk kedua dataset berhasil diestimasikan. Metode volume manual dengan metode otomatis menunjukkan korelasi yang kuat (R2= 0,9843) dengan standard error sebesar 3,86 namun terlihat bahwa terjadi eror sistematik.

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Standard quantification of cardiac fat using non-contrast images can be additional prognostic value in evaluating coronary heart disease. Automatic methods based on deep learning have advantages over manual methods, namely reducing quantification time, workload and user dependence. In this study, epicardial and mediastinal cardiac fat from open source dataset and Mayapada Hospital Tangerang were segmented using CNN DeepV3+ Resnet18-based semantic segmentation and evaluated. The volume of cardiac fat was estimated using the regionprops feature of Matlab 2021a. The system can segment cardiac fat at the highest accuracy of 98.8% and a dice score of 0.76 for epicardial fat and 96.8% accuracy and a dice score of 0.69 for mediastinal fat of the open source dataset. However, the test dataset, namely cardiac CT data taken from the hospital, yielded the highest accuracy at 28% for epicardial fat. Qualitatively, structures such as abdominal fat, cardiac muscle and spine are still segmented. After adjusting the image between the test data and the training data, the highest accuracy in epicardial fat was 97%. However, epicardial and mediastinal fat have not been successfully separated. Heart fat volumes for both datasets were successfully estimated. The manual volume method in respect to the automatic method showed a strong correlation (R2= 0.9843) with a standard error of 3.86, but it was seen that there was a systematic error."

"99mTc-sestamibi is a single-photon emission computed tomography (SPECT) radiotracer that is widely used for the imaging of myocardial perfusion, as well as a variety of malignant and benign diseases. 99mTc-Sestamibi. Clinical applications provides a detailed and informative overview of almost all the oncologic and non-oncologic applications of 99mTc-sestamibi SPECT, including several relatively rare indications. Different disease-related protocols for 99mTc-sestamibi SPECT are presented, and for each disease a comprehensive summary of the relevant pathology and epidemiology is provided. Throughout, there is a strong emphasis on the practical aspects of use of this popular tracer, including instructions for the preparation of several commercially available tracer kits. Clinical practitioners will find this book to be an invaluable guide to the application and benefits of 99mTc-sestamibi SPECT in both the inpatient and the outpatient setting."