Abstract
A new system for three-dimensional kidney reconstruction is proposed. In this system, we have designed a rotational sono-probe to acquire renal sonographic images at four equally separated angles with respect to a fixed rotational axis. Then, on each acquired renal sonogram, a boundary detection algorithm based on elliptic deformable model is used to extract the kidney boundary. This model can consider the renal shape globally and incorporates many significant information, therefore, the kidney boundary can be segmented from poor quality sonogram successfully. The four extracted kidney borders are then used for reconstructing the 3-D kidney by stacking up kidney contours estimated with spline curves. No complicated alignment is necessary in our system. The experiments have shown good results in volume estimation for both in vivo and vitro studies.
| Original language | English |
|---|---|
| Title of host publication | Proc IEEE Workshop Biomed Image |
| Publisher | IEEE |
| Pages | 43-49 |
| Number of pages | 7 |
| Publication status | Published - 1994 |
| Event | Proceedings of the IEEE Workshop on Biomedical Image Analysis - Seattle, WA, USA Duration: 1994 Jun 24 → 1994 Jun 25 |
Other
| Other | Proceedings of the IEEE Workshop on Biomedical Image Analysis |
|---|---|
| City | Seattle, WA, USA |
| Period | 94-06-24 → 94-06-25 |
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All Science Journal Classification (ASJC) codes
- Engineering(all)
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Three-dimensional reconstruction of kidney from ultrasonic images. / Sun, Yung-Nien; Lee, Jiann Shu; Chang, Jai Chie; Yao, Wei-Jen.
Proc IEEE Workshop Biomed Image. IEEE, 1994. p. 43-49.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Three-dimensional reconstruction of kidney from ultrasonic images
AU - Sun, Yung-Nien
AU - Lee, Jiann Shu
AU - Chang, Jai Chie
AU - Yao, Wei-Jen
PY - 1994
Y1 - 1994
N2 - A new system for three-dimensional kidney reconstruction is proposed. In this system, we have designed a rotational sono-probe to acquire renal sonographic images at four equally separated angles with respect to a fixed rotational axis. Then, on each acquired renal sonogram, a boundary detection algorithm based on elliptic deformable model is used to extract the kidney boundary. This model can consider the renal shape globally and incorporates many significant information, therefore, the kidney boundary can be segmented from poor quality sonogram successfully. The four extracted kidney borders are then used for reconstructing the 3-D kidney by stacking up kidney contours estimated with spline curves. No complicated alignment is necessary in our system. The experiments have shown good results in volume estimation for both in vivo and vitro studies.
AB - A new system for three-dimensional kidney reconstruction is proposed. In this system, we have designed a rotational sono-probe to acquire renal sonographic images at four equally separated angles with respect to a fixed rotational axis. Then, on each acquired renal sonogram, a boundary detection algorithm based on elliptic deformable model is used to extract the kidney boundary. This model can consider the renal shape globally and incorporates many significant information, therefore, the kidney boundary can be segmented from poor quality sonogram successfully. The four extracted kidney borders are then used for reconstructing the 3-D kidney by stacking up kidney contours estimated with spline curves. No complicated alignment is necessary in our system. The experiments have shown good results in volume estimation for both in vivo and vitro studies.
UR - http://www.scopus.com/inward/record.url?scp=0028573778&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0028573778&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0028573778
SP - 43
EP - 49
BT - Proc IEEE Workshop Biomed Image
PB - IEEE
ER -