Robust Data Fitting for IVIM Imaging of Thoracic Lesions

Keywords

abdomen achieved acquisition acquisitions adjacent affected aimed artifacts axial better blue body caused clinical coefficient communications comparing concurrent consistently consisting coronal correlation covering currently datasets determination determine deviations device differentiate diffusion discovery easier enable entire errors especially exponential final fitted fitting form fraction functions gradient great ground holds improved improvement incoherent increasing influence intensity issue iteratively known lack lead least lesion lesions liver lung magnitude malignant maps matrix measure measured median metabolic microscopic minimize minutes mitigates modality model models molecular morphological motion moved network normalization noticeable noticeably objective oncology ongoing outcome outliers pancreas parametric particular particularly patient patients perceived perfusion physiological poses position potential previously problem processing protocol pseudo pure qualitative quantify quantitative radiology regression related residuals respiratory retrospectively rich robust room samples secondly sense sensitive sensitizing separation series setup significantly slices solved special spleen spots squared squares table therapy thoracic thorax trust truth tumor tumors uniformity valuable viability view whole