NA-MIC/Projects/Collaboration/MGH RadOnc - Revision history

Polina at 22:26, 8 June 2009

2009-06-08T22:26:02Z

Pieper: Undo revision 35058 by Pieper (Talk)

2009-02-01T20:53:33Z

Undo revision 35058 by Pieper (Talk)

Pieper: /* Adaptive RT for Head and Neck */

2009-02-01T20:53:03Z

Adaptive RT for Head and Neck

Gregsharp at 22:10, 29 January 2009

2009-01-29T22:10:14Z

Gregsharp at 21:55, 29 January 2009

2009-01-29T21:55:41Z

Gregsharp at 21:54, 29 January 2009

2009-01-29T21:54:55Z

Gregsharp at 21:49, 29 January 2009

2009-01-29T21:49:58Z

Gregsharp at 21:37, 29 January 2009

2009-01-29T21:37:45Z

Gregsharp at 21:31, 29 January 2009

2009-01-29T21:31:24Z

Gregsharp at 21:28, 29 January 2009

2009-01-29T21:28:39Z

@@ Line 14: / Line 14: @@
 {|
 |[[Image:RadOnc_HN5_rigid.png|thumb|380px|Rigid registration]]
-|[[Image:RadOnc_HN5_deformable.png|thumb|380px|Deformable registration]]
+|[[Image:RadOnc_HN5_deformable.jpeg|thumb|380px|Deformable registration]]
 |}

@@ Line 14: / Line 14: @@
 {|
 |[[Image:RadOnc_HN5_rigid.png|thumb|380px|Rigid registration]]
-|[[Image:RadOnc_HN5_deformable.png |Deformable registration]]
+|[[Image:RadOnc_HN5_deformable.png|thumb|380px|Deformable registration]]
 |}
 (The wiki can't give a preview for the deformable registration image.  Anyone know why?)
 ===Adaptive RT for Thorax===

@@ Line 14: / Line 14: @@
 {|
 |[[Image:RadOnc_HN5_rigid.png|thumb|380px|Rigid registration]]
-|[[Image:RadOnc_HN5_deformable.png|thumb|380px|Deformable registration]]
+|[[Image:RadOnc_HN5_deformable.png |Deformable registration]]
 |}
 (The wiki can't give a preview for the deformable registration image.  Anyone know why?)
 ===Adaptive RT for Thorax===

@@ Line 3: / Line 3: @@
 ===Adaptive RT for Head and Neck===
-This first example shows the kind of anatomic changes that can occur in head and neck cancer.  The pre-treatment scan is in green, and the mid-treatment scan is in red.  The image on the left is the rigid registration, on the right is deformable registration.  The deformable registration is
+This first example shows the kind of anatomic changes that can occur in head and neck cancer.  The pre-treatment scan is in green, and the mid-treatment scan is in red.  The image on the left is the rigid registration, on the right is deformable registration.
 {|

← Older revision		Revision as of 21:55, 29 January 2009
Line 17:		Line 17:
	\|}		\|}

−	(The wiki ~~somehow messed up the mime type~~ for the deformable image~~, so you need to click to see it~~)	+	(The wiki can't give a preview for the deformable registration image. Anyone know why?)

@@ Line 45: / Line 45: @@
 {|
-|[[Image:RadOnc_LU3.png|thumb|320px|Segmentation at pleural boundary]]
+|[[Image:RadOnc_LU3.png|thumb|300px|Segmentation at pleural boundary]]
-|[[Image:RadOnc_LU4_before.png|thumb|320px|4D-CT phases]]
+|[[Image:RadOnc_LU4_before.png|thumb|300px|4D-CT phases]]
-|[[Image:RadOnc_LU4_after.png|thumb|320px|Registration of 4D-CT phases]]
+|[[Image:RadOnc_LU4_after.png|thumb|300px|Registration of 4D-CT phases]]
 |}
@@ Line 73: / Line 73: @@
 # post-processing tools to nudge or smooth the boundary
-There are many opportunities for using computer vision algorithms to improve interactive segmentation.  For example, using prior models of shape and intensity to improve interpolation.
+There are many opportunities for using computer vision algorithms to improve interactive segmentation.  For example, using prior models of shape and intensity to improve interpolation.  Automatic segmentation also exists is several commercial products, each with impressive demos.  We have GE Adv Sim software which does model-based segmentation of structures such as spinal cord, lens & optic nerve, liver.  For H&N, atlas-based segmentation is the most popular approach.
-In addition, the here are several commercial products for automatic segmentation, each with impressive demos.  Personally I have never used any of them, but I hear that segmentation of simple structures are already useful (spinal cord, lens & optic nerve, liver).
+Below are examples of segmentations of targets and critical structures for head and neck, and thorax.  These structures (or similar) would be manually delineated for every patient who gets 3D planning.
 {|

@@ Line 81: / Line 81: @@
 {|
 |[[Image:RadOnc_HN_seg.png|thumb|380px|Head and Neck segmentation]]
 |}
 {|
 |[[Image:RadOnc_LU_seg.png|thumb|380px|Thorax segmentation]]
 |}

← Older revision		Revision as of 21:37, 29 January 2009
Line 76:		Line 76:

	In addition, the here are several commercial products for automatic segmentation, each with impressive demos. Personally I have never used any of them, but I hear that segmentation of simple structures are already useful (spinal cord, lens & optic nerve, liver).		In addition, the here are several commercial products for automatic segmentation, each with impressive demos. Personally I have never used any of them, but I hear that segmentation of simple structures are already useful (spinal cord, lens & optic nerve, liver).
		+
		+	Below are examples of segmentations of targets and critical structures for head and neck, and thorax. These structures (or more) would be manually delineated for every patient who gets 3D planning.
		+
		+	{\|
		+	\|[[Image:RadOnc_HN_seg.png\|thumb\|380px\|Head and Neck segmentation]]
		+	\|}
		+
		+	{\|
		+	\|[[Image:RadOnc_LU_seg.png\|thumb\|380px\|Thorax segmentation]]
		+	\|}

@@ Line 28: / Line 28: @@
 |}
-Here is another example, showing the tumor regression during treatment.  (Sorry, low resolution image).
+Here is another example, showing the magnitude of tumor regression that can occur during treatment.  (Sorry, low resolution image).
 {|
@@ Line 34: / Line 34: @@
 |}
-Thorax is a special case.  Patient images are acquired using 4D-CT, and radiation dose can computed for 3D volumes at each breathing phase. The volumes are aligned using deformable registration, and radiation dose is accumulated in a reference phase (e.g. exhale). Ideally this procedure is repeated to perform 4D treatment plan optimization.
+Thorax is a special case.  Patient images are acquired using 4D-CT, and radiation treatment plan can be evaluated at each breathing phase. The volumes are aligned using deformable registration, and radiation dose from each phase is accumulated into a reference phase (e.g. exhale).  This process is called "4D treatment planning."
-Deformable registration of 4D-CT phases is considered "easy".  The reason for this is:
 # Single-session imaging, so patient is already co-registered