Compensation of sound speed deviations in 3-D B-mode ultrasound for intraoperative determination of the anterior pelvic plane

Ultrasound-based 3D bone modelling in computer assisted orthopedic surgery - a review and future challenges

Computer-assisted orthopedic surgery requires precise representations of bone surfaces. To date, computed tomography constitutes the gold standard, but comes with a number of limitations, including costs, radiation and availability. Ultrasound has potential to become an alternative to computed tomography, yet suffers from low image quality and limited field-of-view. These shortcomings may be addressed by a fully automatic segmentation and model-based completion of 3D bone surfaces from ultrasound images. This survey summarizes the state-of-the-art in this field by introducing employed algorithms, and determining challenges and trends. For segmentation, a clear trend toward machine learning-based algorithms can be observed. For 3D bone model completion however, none of the published methods involve machine learning. Furthermore, data sets and metrics are identified as weak spots in current research, preventing development and evaluation of models that generalize well.

Soft-tissue sound-speed-aware ultrasound-CT registration method for computer-assisted orthopedic surgery

Ultrasound (US) has been introduced to computer-assisted orthopedic surgery for bone registration owing to its advantages of nonionizing radiation, low cost, and noninvasiveness. However, the registration accuracy is limited by US image distortion caused by variations in the acoustic properties of soft tissues. This paper proposes a soft-tissue sound-speed-aware registration method to overcome the above challenge. First, the feature enhancement strategy of multi-channel overlay is proposed for U2-net to improve bone segmentation performance. Secondly, the sound speed of soft tissue is estimated by simulating the bone surface distance map for the update of US-derived points. Finally, an iterative registration strategy is adopted to optimize the registration result. A phantom experiment was conducted using different registration methods for the femur and tibia/fibula. The fiducial registration error (femur, 0.98 ± 0.08 mm (mean ± SD); tibia/fibula, 1.29 ± 0.19 mm) and the target registration error (less than 2.11 mm) showed the high accuracy of the proposed method. The experimental results suggest that the proposed method can be integrated into navigation systems that provide surgeons with accurate 3D navigation information.

Endometrial receptivity and conception outcome among women with light menstrual bleeding of unidentified etiology

OBJECTIVE

To investigate endometrial receptivity (ER), conception outcome, and other factors among women with light menstrual bleeding of unidentified etiology.

METHODS

A prospective study was undertaken at a center in China. Between January 1, 2011, and December 31, 2014, women meeting the inclusion criteria (aged 20-35 years, without any history of pregnancy, desire to conceive, follicle-stimulating hormone <10 IU on second or third day of cycle, and regular menstrual periods) were enrolled. Participants with a menstrual blood volume of 5-20 mL formed the study group; others were in the control group. ER measures were obtained by transvaginal Doppler ultrasonography. Serum estradiol and progesterone levels were measured and items of prethrombotic state were screened in mid-luteal phase. Participants were followed up for 1 year to establish conception outcome.

RESULTS

The ER (Salle) score was significantly lower in the study group (n=110) than in the control group (n=330; 9.41 ± 3.02 vs 15.67 ± 2.63, P<0.001). The natural rate of conception within 1 year was lower (60.0% [63/105] vs 72.1% [230/319], P=0.020), and the spontaneous abortion rate in early pregnancy was higher (34.4% [21/61] vs 18.1% [41/227], P=0.006) in the study group than in the control group.

CONCLUSION

Women with light menstrual bleeding of unidentified etiology had an increased prevalence of low ER and poor conception outcome.

Computer-Assisted Orthopedic Surgery: Current State and Future Perspective

Introduced about two decades ago, computer-assisted orthopedic surgery (CAOS) has emerged as a new and independent area, due to the importance of treatment of musculoskeletal diseases in orthopedics and traumatology, increasing availability of different imaging modalities, and advances in analytics and navigation tools. The aim of this paper is to present the basic elements of CAOS devices and to review state-of-the-art examples of different imaging modalities used to create the virtual representations, of different position tracking devices for navigation systems, of different surgical robots, of different methods for registration and referencing, and of CAOS modules that have been realized for different surgical procedures. Future perspectives will also be outlined.