Muhammad U Ghani1, Xizeng Wu2, Laurie L Fajardo3, Zhengxue Jing4, Molly D Wong1, Bin Zheng1, Farid Omoumi1, Yuhua Li1, Aimin Yan2, Peter Jenkins3, Stephen L Hillis5, Laura Linstroth3, Hong Liu1. 1. Advanced Medical Imaging Center and School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK, 73019, USA. 2. Department of Radiology, University of Alabama at Birmingham, Birmingham, AL, 35249, USA. 3. Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, 84132, USA. 4. Hologic, Inc., Newark, DE, 19702, USA. 5. Department of Radiology and Biostatistics, University of Iowa, Iowa City, IA, 52242, USA.
Abstract
BACKGROUND: This article reports the first x-ray phase sensitive breast tomosynthesis (PBT) system that is aimed for direct translation to clinical practice for the diagnosis of breast cancer. PURPOSE: To report the preclinical evaluation and comparison of the newly built PBT system with a conventional digital breast tomosynthesis (DBT) system. METHODS AND MATERIALS: The PBT system is developed based on a comprehensive inline phase contrast theoretical model. The system consists of a polyenergetic microfocus x-ray source and a flat panel detector mounted on an arm that is attached to a rotating gantry. It acquires nine projections over a 15° angular span in a stop-and-shoot manner. A dedicated phase retrieval algorithm is integrated with a filtered back-projection method that reconstructs tomographic slices. The American College of Radiology (ACR) accreditation phantom, a contrast detail (CD) phantom and mastectomy tissue samples were imaged at the same glandular dose levels by both the PBT and a standard of care DBT system for image quality characterizations and comparisons. RESULTS: The PBT imaging scores with the ACR phantom are in good to excellent range and meet the quality assurance criteria set by the Mammography Quality Standard Act. The CD phantom image comparison and associated statistical analyses from two-alternative forced-choice reader studies confirm the improvement offered by the PBT system in terms of contrast resolution, spatial resolution, and conspicuity. The artifact spread function (ASF) analyses revealed a sizable lateral spread of metal artifacts in PBT slices as compared to DBT slices. Signal-to-noise ratio values for various inserts of the ACR and CD phantoms further validated the superiority of the PBT system. Mastectomy sample images acquired by the PBT system showed a superior depiction of microcalcifications vs the DBT system. CONCLUSION: The PBT imaging technology can be clinically employed for improving the accuracy of breast cancer screening and diagnosis.
BACKGROUND: This article reports the first x-ray phase sensitive breast tomosynthesis (PBT) system that is aimed for direct translation to clinical practice for the diagnosis of breast cancer. PURPOSE: To report the preclinical evaluation and comparison of the newly built PBT system with a conventional digital breast tomosynthesis (DBT) system. METHODS AND MATERIALS: The PBT system is developed based on a comprehensive inline phase contrast theoretical model. The system consists of a polyenergetic microfocus x-ray source and a flat panel detector mounted on an arm that is attached to a rotating gantry. It acquires nine projections over a 15° angular span in a stop-and-shoot manner. A dedicated phase retrieval algorithm is integrated with a filtered back-projection method that reconstructs tomographic slices. The American College of Radiology (ACR) accreditation phantom, a contrast detail (CD) phantom and mastectomy tissue samples were imaged at the same glandular dose levels by both the PBT and a standard of care DBT system for image quality characterizations and comparisons. RESULTS: The PBT imaging scores with the ACR phantom are in good to excellent range and meet the quality assurance criteria set by the Mammography Quality Standard Act. The CD phantom image comparison and associated statistical analyses from two-alternative forced-choice reader studies confirm the improvement offered by the PBT system in terms of contrast resolution, spatial resolution, and conspicuity. The artifact spread function (ASF) analyses revealed a sizable lateral spread of metal artifacts in PBT slices as compared to DBT slices. Signal-to-noise ratio values for various inserts of the ACR and CD phantoms further validated the superiority of the PBT system. Mastectomy sample images acquired by the PBT system showed a superior depiction of microcalcifications vs the DBT system. CONCLUSION: The PBT imaging technology can be clinically employed for improving the accuracy of breast cancer screening and diagnosis.
Authors: Muhammad U Ghani; Molly D Wong; Di Wu; Bin Zheng; Laurie L Fajardo; Aimin Yan; Janis Fuh; Xizeng Wu; Hong Liu Journal: Phys Med Biol Date: 2017-04-05 Impact factor: 3.609
Authors: S Pacilè; C Dullin; P Baran; M Tonutti; C Perske; U Fischer; J Albers; F Arfelli; D Dreossi; K Pavlov; A Maksimenko; S C Mayo; Y I Nesterets; S Tavakoli Taba; S Lewis; P C Brennan; T E Gureyev; G Tromba; S Wienbeck Journal: Sci Rep Date: 2019-09-24 Impact factor: 4.379
Authors: Muhammad U Ghani; Laurie L Fajardo; Farid Omoumi; Aimin Yan; Peter Jenkins; Molly Wong; Yuhua Li; Michael E Peterson; Edward J Callahan; Stephen L Hillis; Bin Zheng; Xizeng Wu; Hong Liu Journal: Phys Med Biol Date: 2021-10-29 Impact factor: 3.609