TY - JOUR
T1 - Comparison of segmentation software packages for in-hospital 3D print workflow
AU - Wijnen, Niek
AU - Brouwers, Lars
AU - Jebbink, Erik Groot
AU - Heyligers, Jan M.M.
AU - Bemelman, Mike
N1 - Publisher Copyright:
© 2021 Society of Photo-Optical Instrumentation Engineers (SPIE).
PY - 2021/6/30
Y1 - 2021/6/30
N2 - Purpose: In-hospital three-dimensional (3D) printing of patient-specific pathologies is increasingly being used in daily care. However, the efficiency of the current conversion from image to print is often obstructed due to limitations associated with segmentation software. Therefore, there is a need for comparison of several clinically available tools. A comparative study has been conducted to compare segmentation performance of Philips IntelliSpace Portal® (PISP), Mimics Innovation Suite (MIS), and DICOM to PRINT® (D2P). Approach: These tools were compared with respect to segmentation time and 3D mesh quality. The dataset consisted of three computed tomography (CT)-scans of acetabular fractures (ACs), three CT-scans of tibia plateau fractures (TPs), and three CTA-scans of abdominal aortic aneurysms (AAAs). Independent-samples t-tests were performed to compare the measured segmentation times. Furthermore, 3D mesh quality was assessed and compared according to representativeness and usability for the surgeon. Results: Statistically significant differences in segmentation time were found between PISP and MIS with respect to the segmentation of ACs (p = < 0.001) and AAAs (p = 0.031). Furthermore, statistically significant differences in segmentation time were found between PISP and D2P for segmentations of AAAs (p = 0.008). There were no statistically significant differences in segmentation time for TPs. The accumulated mesh quality scores were highest for segmentations performed in MIS, followed by D2P. Conclusion: Based on segmentation time and mesh quality, MIS and D2P are capable of enhancing the in-hospital 3D print workflow. However, they should be integrated with the picture archiving and communication system to truly improve the workflow. In addition, these software packages are not open source and additional costs must be incurred.
AB - Purpose: In-hospital three-dimensional (3D) printing of patient-specific pathologies is increasingly being used in daily care. However, the efficiency of the current conversion from image to print is often obstructed due to limitations associated with segmentation software. Therefore, there is a need for comparison of several clinically available tools. A comparative study has been conducted to compare segmentation performance of Philips IntelliSpace Portal® (PISP), Mimics Innovation Suite (MIS), and DICOM to PRINT® (D2P). Approach: These tools were compared with respect to segmentation time and 3D mesh quality. The dataset consisted of three computed tomography (CT)-scans of acetabular fractures (ACs), three CT-scans of tibia plateau fractures (TPs), and three CTA-scans of abdominal aortic aneurysms (AAAs). Independent-samples t-tests were performed to compare the measured segmentation times. Furthermore, 3D mesh quality was assessed and compared according to representativeness and usability for the surgeon. Results: Statistically significant differences in segmentation time were found between PISP and MIS with respect to the segmentation of ACs (p = < 0.001) and AAAs (p = 0.031). Furthermore, statistically significant differences in segmentation time were found between PISP and D2P for segmentations of AAAs (p = 0.008). There were no statistically significant differences in segmentation time for TPs. The accumulated mesh quality scores were highest for segmentations performed in MIS, followed by D2P. Conclusion: Based on segmentation time and mesh quality, MIS and D2P are capable of enhancing the in-hospital 3D print workflow. However, they should be integrated with the picture archiving and communication system to truly improve the workflow. In addition, these software packages are not open source and additional costs must be incurred.
KW - 3D print
KW - abdominal aortic aneurysm
KW - acetabular fracture
KW - segmentation
KW - tibia plateau fracture
UR - http://www.scopus.com/inward/record.url?scp=85108992861&partnerID=8YFLogxK
U2 - 10.1117/1.JMI.8.3.034004
DO - 10.1117/1.JMI.8.3.034004
M3 - Article
AN - SCOPUS:85108992861
SN - 2329-4302
VL - 8
JO - Journal of medical imaging
JF - Journal of medical imaging
IS - 3
M1 - 034004
ER -