Quantification of tumor burden in multiple myeloma by atlas-based semi-automatic segmentation of WB-DWI.
Sílvia D AlmeidaJoão SantinhaFrancisco P M OliveiraJoana IpMaria LisitskayaJoão LourençoAycan UysalCelso MatosCristina JoãoNickolas PapanikolaouPublished in: Cancer imaging : the official publication of the International Cancer Imaging Society (2020)
The SA provides equally reproducible segmentation results when compared to the manual segmentation of radiologists. Thus, the proposed method offers robust and efficient segmentation of MM lesions on WB-DWI. This method may aid accurate assessment of tumor burden and therefore provide insights to treatment response assessment.