TY - GEN
T1 - Acquisition information spectrum for evaluating sonographic quality
AU - Nguyen, Nghia Q.
AU - Abbey, Craig K.
AU - Insana, Michael
PY - 2012/12/14
Y1 - 2012/12/14
N2 - We are developing a first-principles task-based approach to the optimal design and evaluation of ultrasonic imaging systems. Examining five clinical features related to breast lesion diagnosis, we quantified information flow at several stages in the image formation process. We found that the diagnostic performance of a given system configuration will vary with the patient feature, sometimes significantly. Our analysis expresses diagnostic performance of an imaging system for a specific clinical task as a function of patient properties that are separable from instrument properties. Hence it is possible to show how image quality metrics, like spatial and contrast resolution, combine with patient features to determine feature discriminability. In this paper, we describe an information theoretic approach to diagnostic performance evaluation that has given us a new quantity, the acquisition information spectrum (AIS). Like NEQ in radiography, AIS in sonography provides a foundation for medical ultrasonic imaging system design.
AB - We are developing a first-principles task-based approach to the optimal design and evaluation of ultrasonic imaging systems. Examining five clinical features related to breast lesion diagnosis, we quantified information flow at several stages in the image formation process. We found that the diagnostic performance of a given system configuration will vary with the patient feature, sometimes significantly. Our analysis expresses diagnostic performance of an imaging system for a specific clinical task as a function of patient properties that are separable from instrument properties. Hence it is possible to show how image quality metrics, like spatial and contrast resolution, combine with patient features to determine feature discriminability. In this paper, we describe an information theoretic approach to diagnostic performance evaluation that has given us a new quantity, the acquisition information spectrum (AIS). Like NEQ in radiography, AIS in sonography provides a foundation for medical ultrasonic imaging system design.
UR - http://www.scopus.com/inward/record.url?scp=84870822268&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84870822268&partnerID=8YFLogxK
U2 - 10.1109/EMBC.2012.6346423
DO - 10.1109/EMBC.2012.6346423
M3 - Conference contribution
C2 - 23366384
SN - 9781424441198
T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
SP - 2302
EP - 2305
BT - 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012
T2 - 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012
Y2 - 28 August 2012 through 1 September 2012
ER -