Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\24877822
.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117 Med+Phys
2014 ; 41
(6
): 061911
Nephropedia Template TP
gab.com Text
Twit Text FOAVip
Twit Text #
English Wikipedia
Improved digital breast tomosynthesis images using automated ultrasound
#MMPMID24877822
Zhang X
; Yuan J
; Du S
; Kripfgans OD
; Wang X
; Carson PL
; Liu X
Med Phys
2014[Jun]; 41
(6
): 061911
PMID24877822
show ga
PURPOSE: Digital breast tomosynthesis (DBT) offers poor image quality along the
depth direction. This paper presents a new method that improves the image quality
of DBT considerably through the a priori information from automated ultrasound
(AUS) images. METHODS: DBT and AUS images of a complex breast-mimicking phantom
are acquired by a DBT/AUS dual-modality system. The AUS images are taken in the
same geometry as the DBT images and the gradient information of the in-slice AUS
images is adopted into the new loss functional during the DBT reconstruction
process. The additional data allow for new iterative equations through solving
the optimization problem utilizing the gradient descent method. Both visual
comparison and quantitative analysis are employed to evaluate the improvement on
DBT images. Normalized line profiles of lesions are obtained to compare the edges
of the DBT and AUS-corrected DBT images. Additionally, image quality metrics such
as signal difference to noise ratio (SDNR) and artifact spread function (ASF) are
calculated to quantify the effectiveness of the proposed method. RESULTS: In
traditional DBT image reconstructions, serious artifacts can be found along the
depth direction (Z direction), resulting in the blurring of lesion edges in the
off-focus planes parallel to the detector. However, by applying the proposed
method, the quality of the reconstructed DBT images is greatly improved.
Visually, the AUS-corrected DBT images have much clearer borders in both in-focus
and off-focus planes, fewer Z direction artifacts and reduced overlapping effect
compared to the conventional DBT images. Quantitatively, the corrected DBT images
have better ASF, indicating a great reduction in Z direction artifacts as well as
better Z resolution. The sharper line profiles along the Y direction show
enhancement on the edges. Besides, noise is also reduced, evidenced by the
obviously improved SDNR values. CONCLUSIONS: The proposed method provides great
improvement on the quality of DBT images. This improvement makes it easier to
locate and to distinguish a lesion, which may help improve the accuracy of the
diagnosis using DBT imaging.
free
free
free
